Popular Models

APIYI supports 400+ mainstream AI models. This page provides detailed model information, pricing, and usage instructions.

Enterprise-grade Professional and Stable AI Large Model API Hub All models are officially sourced and forwarded, with ~20% off pricing (combining top-up bonuses and exchange rate advantages), aggregating various excellent large models. No speed limits, no account ban risks, pay-as-you-go billing, long-term reliable service.

🔥 Currently Recommended Models

The following are currently stably supplied popular models. For the complete model list and real-time pricing, visit the APIYI Console Pricing Page or the on-site Model Pricing Overview.

Model Upgrade Recommendations: We recommend using the latest models for best performance, but please note:

Initial instability is common: Newly launched models may experience slow responses, timeouts, or occasional errors due to limited compute capacity at the vendor — this typically stabilizes within days to weeks
Check parameter compatibility: New models may introduce or change parameters (e.g., max_completion_tokens replacing max_tokens). Before upgrading, verify that your API parameters remain compatible with older models
Always test before going live: Before deploying a new model to production, thoroughly validate it in a test environment to ensure output quality and API compatibility meet expectations

A ”—” in the context column means the vendor has not published a definitive figure; refer to the console and official documentation. All prices are per 1M tokens (input/output) and can be combined with top-up bonuses.

Model Categories

🤖 OpenAI Series

🆕 Latest Models

Model Name	Model ID	Context Length	Features	Recommended Scenarios
GPT-6 Astra 🔥	`gpt-6-astra`	1.05M	6-gen flagship built for computer use and long-horizon agents; five reasoning-effort tiers (adds `xhigh` / `max`), Terminal-Bench 4.0 57.9%, ScreenSpot-Pro 92.7%; $10/$50	Top-tier agents, computer use, research
GPT-6 Sol 🔥	`gpt-6-sol`	1.05M	6-gen mid tier at roughly half the price of 5.6 Sol (a long-term price, not a promo), 128K output; $2/$10	Building features, code review, data analysis
GPT-6 Luna 🔥	`gpt-6-luna`	1.05M	6-gen lightweight tier, $0.10/$0.50, for summarization, extraction and other bulk work	High concurrency, cost-sensitive
GPT-5.5 Pro	`gpt-5.5-pro`	1M	Deep-reasoning specialist, Terminal-Bench 2.0 82.7%; `/v1/responses` endpoint + SVIP group only, very expensive	Top-tier reasoning, research
chat-latest	`chat-latest`	400K	Version-less alias, always points to the latest ChatGPT Instant model	Quick writing, conversation

GPT-6 series supply: the default / svip official-relay groups match official pricing on all four billing items, and both Chat Completions and Responses are tested working (including function calling) — migrating from 5.6 only needs the model field changed. Astra is also available in the Codex_Reverse group at a 0.5 discount. For Sol / Luna, a single request above 272K context is billed entirely at the higher tier. See the GPT-6 Astra launch notes and GPT-6 Sol / Luna launch notes.

GPT Pro series (e.g. gpt-5.5-pro, gpt-5.4-pro) usage notes:

/v1/responses endpoint only: cannot use /v1/chat/completions — switch your SDK / code to the Responses API before calling
Very expensive: a single call may cost several dollars, and it is open to the SVIP group only to prevent accidental use on the Default group
Not recommended for non-professional needs: use GPT-6 Sol or GPT-5.6 Sol for everyday tasks; Pro suits only research and top-tier work demanding extreme reasoning depth

✅ Stable / Classic

Model Name	Model ID	Context Length	Features	Recommended Scenarios
GPT-5.6 Sol ⭐	`gpt-5.6-sol`	1M	5.6-gen flagship, Terminal-Bench 2.1 88.8%; the `gpt-5.6` alias points here; $4/$20 (price cut 3 Sep)	Frontier intelligence, agent tasks
GPT-5.6 Terra	`gpt-5.6-terra`	1M	5.6-gen workhorse, $2/$12	Everyday development
GPT-5.6 Luna	`gpt-5.6-luna`	1M	5.6-gen lightweight tier, $0.20/$1.20; weaker beyond 256K context	High concurrency, cost-sensitive
GPT-5.5 ⭐	`gpt-5.5`	1M	Previous flagship, SWE-bench Verified 88.7%, `xhigh` reasoning tier	Complex agents, professional workflows
GPT-5.4 ⭐	`gpt-5.4`	1M	Previous workhorse, native computer use, GDPval 83%	Complex agents, professional workflows
GPT-5.4 Mini	`gpt-5.4-mini`	1M	Lightweight, great value	Balance performance and cost
GPT-5.2	`gpt-5.2`	400K	GDPval 70.9% surpassing professionals	Programming planning, structured tasks
GPT-5.1	`gpt-5.1`	128K	Intelligence-speed balance, SWE-bench 76.3%, 24h cache	General apps, programming
GPT-5.1 Codex	`gpt-5.1-codex-high`	128K	Codex coding series (medium / mini tiers also available)	Programming, agent tasks
GPT-5	`gpt-5`	128K	Classic flagship stable version	Top-tier reasoning, complex tasks
GPT-5 Mini	`gpt-5-mini`	128K	GPT-5 lightweight, excellent performance	Balance performance and cost
o3	`o3`	200K	Reasoning model, significantly price-reduced	Complex reasoning, math, programming
o4-mini	`o4-mini`	200K	Lightweight reasoning model	Programming
GPT-4.1	`gpt-4.1`	128K	Fast, long-standing workhorse	General applications
GPT-4o	`gpt-4o`	128K	Balanced multimodal capabilities	General scenarios
GPT-4o Mini	`gpt-4o-mini`	128K	Lightweight fast version	Quick response

GPT-5 and newer series usage notes:

Temperature parameter temperature must be set to 1 (only supports 1)
Use max_completion_tokens instead of max_tokens
Do not pass top_p parameter

Image and Video Generation Models have been moved to a dedicated page. Visit Image & Video Generation Models for the full list and pricing.

🎭 Claude Series (Anthropic)

🆕 Latest Models

Model Name	Model ID	Context Length	Features	Recommended Scenarios
Claude Opus 5.5 🔥	`claude-opus-5-5`	1M	Terminal-Bench 4.0 66.4%, ahead of Fable 5.1 (55.8%); 30%+ faster output than Opus 5; $4/$20, cheaper than Opus 5	Top-tier coding, complex agents
Claude Opus 5.5 Thinking 🔥	`claude-opus-5-5-thinking`	1M	Explicit thinking variant of Opus 5.5	Top-tier reasoning tasks
Claude Fable 5.1 🔥	`claude-fable-5-1`	1M	Mythos-class flagship, same-price upgrade: Terminal-Bench-Science 24.7% → 52.6%; `-thinking` variant available; $10/$50	Top-tier tasks, long async work
Claude Sonnet 5	`claude-sonnet-5`	—	SWE-bench Verified 85.2%, Terminal-Bench 2.1 80.4%, pure AWS official relay with high cache hit rates; $2/$10	Programming top choice, agent dev
Claude Opus 5	`claude-opus-5`	1M	Frontier Bench v0.1 43.3%, 128K output, thinking on by default with five effort tiers, `-thinking` variant available; $5/$25	Top-tier coding, complex agents

Breaking changes in Opus 5.5 / Fable 5.1: forced tool calls (tool_choice of any / tool) return 400, thinking blocks are bound to the model, and editing history invalidates thinking blocks. Opus 5.5 additionally cannot turn thinking off, and its default effort drops from high to medium. Read the Opus 5.5 launch notes and Fable 5.1 launch notes before migrating.

30-day data retention compliance for Fable 5 / Fable 5.1 / Mythos 5: because of these models’ advanced capabilities, Bedrock and Anthropic run additional checks for high-risk misuse. For these two models, inputs and outputs are retained for 30 days to detect serious abuse — accessed by automated safety systems by default, with human review only when a potential harm is flagged. Retention happens on the AWS / Anthropic side; APIYI is a pure transparent proxy and retains nothing itself. Other Claude models are unaffected. See the Fable 5.1 launch notes.

✅ Stable / Classic

Model Name	Model ID	Context Length	Features	Recommended Scenarios
Claude Fable 5	`claude-fable-5`	—	Previous Mythos-class flagship, $10/$50	Top-tier tasks
Claude Opus 4.8	`claude-opus-4-8`	1M (Beta)	Agentic coding 69.2%, dynamic workflows	Top-tier coding, complex agents
Claude Opus 4.7 ⭐	`claude-opus-4-7`	1M (Beta)	Coding benchmarks +13% over 4.6, tool errors cut to 1/3, `-thinking` variant available	Top-tier coding, complex agents
Claude Opus 4.6	`claude-opus-4-6`	1M (Beta)	Terminal-Bench 2.0 #1, 128K output	Top-tier coding, complex agents
Claude Sonnet 4.6 ⭐	`claude-sonnet-4-6`	1M (Beta)	Rivals Opus 4.5, great value	Programming, agent dev
Claude Opus 4.5	`claude-opus-4-5-20251101`	200K	SWE-bench 80.9%, price reduced to 1/3	Complex programming, top-tier reasoning
Claude Sonnet 4.5	`claude-sonnet-4-5-20250929`	200K	World-class coding, SWE-bench 77.2%, `-thinking` variant available	Code generation, agent development
Claude Haiku 4.5 ⭐	`claude-haiku-4-5-20251001`	200K	High cost-performance, SWE-bench 73.3%, 2x speed	Real-time chat, pair programming
Claude 4 Sonnet	`claude-sonnet-4-20250514`	200K	Long-standing stable version	Code generation, analysis

Latest: Claude Opus 5.5 beats Fable 5.1 on most coding and knowledge-work benchmarks while costing less than Opus 5 ($4/$20); Anthropic puts typical-workload cost about 40% below Opus 5. Sonnet 5 is close to Opus 4.8 but faster and cheaper. Stable: Opus 4.7 and Sonnet 4.6 are battle-tested for production workflows already in place; Haiku 4.5 offers 2x speed at great value.

🌟 Google Gemini Series

🆕 Latest Models

Model Name	Model ID	Context Length	Features	Recommended Scenarios
Gemini 3.8 Flash 🔥	`gemini-3.8-flash`	—	New Flash release shipped by Google on Sep 2, official specs not yet published; 150 paired dual-protocol tests match 3.7 item by item; $0.75/$3.75, same as 3.7	Programming, agents, value
Gemini 3.7 Flash 🔥	`gemini-3.7-flash`	1M	64K output, Terminal-bench 2.1 85.8%, DeepSWE 65.3%; $0.75/$3.75 is Google’s limited-time promotional rate (through 2026-12-31, then $1.50/$7.50)	Programming, agents, multimodal
Gemini 3.1 Pro Preview	`gemini-3.1-pro-preview`	1M	ARC-AGI-2 77.1% (2x+ over 3 Pro), Google’s strongest reasoning model	Complex reasoning, multimodal analysis
Gemini 3.1 Flash Lite	`gemini-3.1-flash-lite`	1M	GA version, 64% faster than 2.5 Flash, $0.25/$1.50	High concurrency, batch, low cost

Note: Gemini 3 Pro Preview was discontinued on March 9, 2026. Please migrate to Gemini 3.1 Pro Preview or Gemini 3.8 Flash.

✅ Stable / Classic

Model Name	Model ID	Context Length	Features	Recommended Scenarios
Gemini 3.6 Flash	`gemini-3.6-flash`	1M	Multimodal Flash, thinking on by default (four tiers), all native tools enabled; $1.50/$7.50	Programming, agents, multimodal
Gemini 3.5 Flash-Lite	`gemini-3.5-flash-lite`	1M	Zero thinking by default, ~2 second responses; $0.30/$2.50	High concurrency, low latency, batch
Gemini 3.5 Flash	`gemini-3.5-flash`	1M	Terminal-Bench 2.1 76.2%; $1.50/$9.00	Programming
Gemini 3 Flash Preview	`gemini-3-flash-preview`	1M	SWE-bench 78%, thinking / nothinking variants available	Programming, cost-performance
Gemini 2.5 Pro ⭐	`gemini-2.5-pro`	2M	Official release, programming advantage, strong multimodal	Long text, programming, multimodal
Gemini 2.5 Flash ⭐	`gemini-2.5-flash`	1M	Fast speed, low cost, official release	Quick response scenarios
Gemini 2.5 Flash Lite	`gemini-2.5-flash-lite`	1M	Ultra-lightweight, faster and cheaper	Large-scale simple tasks

Latest: Gemini 3.8 Flash and 3.7 Flash share the same price — well ahead of 3.6 Flash on coding and agent work at half the cost — and both native Gemini and OpenAI-compatible endpoints work. See the 3.8 Flash launch notes and 3.7 Flash launch notes. For high-concurrency, low-latency work, try 3.5 Flash-Lite. Stable: Gemini 2.5 Pro (2M context) and Gemini 2.5 Flash suit settled production environments.

🚀 xAI Grok Series

🆕 Latest Models

Model Name	Model ID	Context Length	Features	Recommended Scenarios
Grok 4.7 🔥	`grok-4.7`	500K	New 2.1T base model; Terminal-Bench 4.0 18% → 33%, DeepSWE 73%; $2/$6, same as before, but uses about twice the output tokens per task as 4.6	Coding agents, long tasks
Grok 4.6 🔥	`grok-4.6`	500K	Artificial Analysis Intelligence Index 61, level with GPT-5.6 Sol Max; $2/$6	General tasks, programming
Grok 4.5	`grok-4.5`	500K	Co-trained with Cursor, #1 on agentic tool calling, highly token-efficient output; $2/$6	Programming, agent tasks
Grok 4.3	`grok-4.3`	1M	Intelligence Index 53, τ²-Bench 98%, IFBench 81%; $1.25/$2.50, doubling past 200K	Complex reasoning, general tasks
Grok 4 Fast Reasoning	`grok-4-fast-reasoning`	200K	Reasoning mode, 93%+ cheaper than Grok-4	Complex reasoning
Grok Code Fast 1	`grok-code-fast-1`	256K	SWE-bench 70.8%, high-speed generation	Code generation, agent programming

✅ Stable / Classic

Model Name	Model ID	Context Length	Features	Recommended Scenarios
Grok 4.20 Beta	`grok-4.20-beta`	Standard	Reasoning / multi-agent / non-reasoning variants available	General tasks
Grok 4	`grok-4`	Standard	Official version; `grok-4-all` adds native web search	General tasks, real-time info
Grok 3	`grok-3`	Standard	Official stable version	Daily use
Grok 3 All	`grok-3-all`	Standard	Native web search enhanced	News, market analysis
Grok 3 Mini	`grok-3-mini`	Standard	Small model with reasoning	Lightweight tasks

Estimate Grok costs per task: Grok 4.5 / 4.6 / 4.7 share the same unit price ($2/$6), but Grok 4.7 uses about twice the output tokens of 4.6 on the same task set, so per-task spend goes up; Grok 4.5 is the most output-efficient. Requests above 200K tokens are billed at the vendor’s second tier. See the Grok 4.7 launch notes.

🔍 DeepSeek Series

Model Name	Model ID	Context Length	Features	Recommended Scenarios
DeepSeek V4 Pro 🔥	`deepseek-v4-pro`	1M	1.6T/49B activated, SWE-Verified 80.6 near Claude/Gemini, Hybrid Attention	Complex reasoning, coding, agents
DeepSeek V4.1 Flash 🔥	`deepseek-v4.1-flash`	—	DeepSeek’s latest Flash; both OpenAI and Anthropic formats work (Anthropic format via the `ClaudeCode` group), cached input as low as $0.006; $0.30/$1.20	High concurrency, coding, agents
DeepSeek V3.2	`deepseek-v3.2`	128K	GPT-5 level, tool-use in reasoning	Complex reasoning, coding
DeepSeek V3.1 ⭐	`deepseek-v3-1-250821`	128K	Mixed reasoning, Think/Non-Think dual modes	Intelligent reasoning, programming
DeepSeek R1	`deepseek-r1`	64K	Reasoning model	Math, reasoning
DeepSeek V3	`deepseek-v3`	128K	Strong comprehensive capabilities	General scenarios

🐘 Chinese Model Series

Zhipu AI (GLM)

🆕 Latest: GLM-5.3, GLM-5.3-Flash | ✅ Stable / Classic: GLM-5.2, GLM-5.1, GLM-5

Model Name	Model ID	Context Length	Features	Recommended Scenarios
GLM-5.3 🔥	`glm-5.3`	1M	Same 753B MoE base as 5.2 with only post-training scaled; Z.ai Code Bench +50% over 5.2; $1.40/$4.396	Project-scale coding, long-horizon agents
GLM-5.3-Flash 🔥	`glm-5.3-flash`	1M	First natively multimodal GLM-5 model (text / image / video / file), Terminal-Bench 2.1 84.3, close to Claude Opus 4.8; $0.15/$0.50	Multimodal, value coding
GLM-5.2	`glm-5.2`	1M	Direct Alibaba Cloud official relay, AA Intelligence Index 51 (#1 open-source), Terminal-Bench 2.1 81.0, SWE-bench Pro 62.1; $1.142/$3.997	Project-scale coding, long-horizon agents
GLM-5.1 ⭐	`glm-5.1`	200K	SWE-Bench Pro 58.4, 744B MoE, MIT open-source	Complex coding, agents
GLM-5	`glm-5`	200K	744B params (40B activated), coding aligned with Claude Opus 4.5	Complex coding, systems engineering
GLM-4.6	`glm-4.6`	200K	Code and reasoning enhanced, stable	Programming, reasoning, agents
GLM-4.5	`glm-4.5`	128K	Standard version, strong overall	General scenarios

GLM-5.3 series highlights:

The flagship GLM-5.3 keeps 5.2’s base and only scales post-training, with big gains in coding and cybersecurity (ExploitBench 54.4% vs 24.4% for 5.2)
GLM-5.3-Flash is a 320B-A18B hybrid sparse + linear attention multimodal model at roughly 1/10 the flagship price
Pricing matches Zhipu’s official site item by item, available in the default / svip groups; raise your timeout above 600 seconds for long tasks. See the GLM-5.3 launch notes

Alibaba Qwen

🆕 Latest: Qwen3.8-Max | ✅ Stable / Classic: Qwen3.7 series, Qwen3.6 series, Qwen Max / Plus / Turbo

Model Name	Model ID	Context Length	Features	Recommended Scenarios
Qwen3.8-Max 🔥	`qwen3.8-max`	1M	2.4T sparse MoE, 131K output, GPQA Diamond 92.6, PaperBench 93.0, native image/video input; thinking on by default, `/v1/responses` not yet supported; $1.65/$4.95	Agents, multimodal, long text
Qwen3.7-Max	`qwen3.7-max`	1M	AA Intelligence Index 56.6 (global top 5, #1 in China), 35-hour long-horizon agent autonomy; $1.714/$5.142	Agents, multilingual, long text
Qwen3.7-Plus	`qwen3.7-plus`	1M	3.7-gen value tier, $0.60/$2.40	General tasks, batch processing
Qwen3.6-Max-Preview	`qwen3.6-max-preview`	1M	#1 on six coding benchmarks (AIME 2025 93%, GPQA 86%)	Programming, reasoning
Qwen3.6-Plus	`qwen3.6-plus`	1M	MoE 72B / 18B activated, Terminal-Bench 61.6, chain-of-thought always on	Coding agents
Qwen3.6-Flash	`qwen3.6-flash`	1M	35B-A3B MoE, multimodal, $0.17/$1.02	Cost-effective, multimodal
Qwen3.6 open weights	`qwen3.6-27b` / `qwen3.6-35b-a3b`	1M	Open-weight models hosted by APIYI — no GPU rental or inference stack to operate	Self-hosting alternative, cost-sensitive
Qwen Max	`qwen-max`	32K	Long-standing stable version	General tasks
Qwen Plus	`qwen-plus`	32K	Enhanced version	Cost-effective
Qwen Turbo	`qwen-turbo`	32K	Fast version	Low latency

Moonshot Kimi Series

🆕 Latest: Kimi K3 | ✅ Stable / Classic: Kimi K2.6, K2.5, K2

Model Name	Model ID	Context Length	Features	Recommended Scenarios
Kimi K3 🔥	`kimi-k3`	1M	2.8T-parameter open-source flagship, Kimi Delta Attention, #1 on LMArena Frontend Code Arena, GPQA Diamond 93.5%, Terminal-Bench 2.1 88.3%; $3/$15 flat across the whole context range, cached input as low as $0.30	Frontend coding, long-horizon agents
Kimi K2.7 Code	`kimi-k2.7-code`	256K	Coding-specialized tier, $0.95/$3.99	Programming
Kimi K2.6 ⭐	`kimi-k2.6`	256K	1T MoE / 32B activated, SWE-Bench Pro 58.6; $0.60/$2.40, ~60% of list	Coding, agents
Kimi K2.5	`kimi-k2.5`	200K	Native multimodal, Agent Swarm 100 agents	Multimodal, agents
Kimi K2 Official Release	`kimi-k2-250711`	200K	Volcano Engine partnership, strong stability	Production environments

Kimi K3 usage notes:

Exactly 1,048,576 tokens of context with flat pricing across the whole range — drop in whole repos or long documents without worrying about tier jumps
Max output defaults to 131,072 and can be raised to 1,048,576 tokens; thinking runs at full tilt, so budget output tokens accordingly
Automatic context caching bills cached input at $0.30/1M (1/10 of the uncached rate), a big win for multi-turn conversations

ByteDance Seed Series

🆕 Latest: Seed 2.1 Turbo | ✅ Stable / Classic: Seed 2.0 Pro / Lite / Mini

Model Name	Model ID	Context Length	Features	Recommended Scenarios
Seed 2.1 Turbo 🔥	`dola-seed-2-1-turbo-260628`	256K	High-frequency production text model; 15/15 test cases passed on both Chat Completions and Responses, controllable thinking plus implicit/explicit two-layer caching; $0.50/$2.50	High-concurrency production, batch extraction
Seed 2.0 Pro	`seed-2-0-pro-260328`	—	AIME 2025 98.3, Codeforces 3020, strong agent capability; $0.50/$3.00	Complex reasoning, coding
Seed 2.0 Lite	`seed-2-0-lite-260428`	—	Cost-effective enterprise tier, image/video/text multimodal input; $0.25/$2.00	Large-scale production
Seed 2.0 Mini	`seed-2-0-mini-260428`	—	Ultra-light tier, $0.10/$0.40	Large-volume simple tasks

Seed 2.1 Turbo enables deep thinking by default: with no parameters set, even a one-line question emits hundreds of thinking tokens first (a one-sentence self-introduction measured 444 output tokens, 409 of them thinking), and thinking is billed as normal output tokens. For high-frequency short Q&A, make thinking: {"type": "disabled"} your baseline. See the integration guide.

🌐 MiniMax Series

🆕 Latest: MiniMax-M3 | ✅ Stable / Classic: MiniMax-M2.7, M2.5

Model Name	Model ID	Context Length	Features	Recommended Scenarios
MiniMax-M3 🔥	`MiniMax-M3`	1M	First open-weight flagship combining frontier agentic coding, 1M context and native multimodality; SWE-Bench Pro 59.0 beats GPT-5.5 and Gemini 3.1 Pro; MSA sparse attention cuts long-context inference cost to ~1/20 of the previous generation	Coding, agents, long context
MiniMax-M2.7	`MiniMax-M2.7`	Standard	10B params, SWE-bench Pro 56.22%, self-evolving, smallest Tier-1 model	Coding, agents
MiniMax-M2.5	`MiniMax-M2.5`	Standard	230B (10B activated), SWE-bench 80.2%, great value	Coding, agents, office automation

MiniMax-M3 billing notes:

Tiered billing: $0.30 input / $1.20 output per 1M tokens for the 0-512K range; anything beyond is billed at a higher tier
Model names are case-sensitive: MiniMax-M3 (as are siblings such as MiniMax-M2.7-highspeed)
Estimate costs before running million-token context jobs

Model prices are aligned with official pricing and may change as vendors adjust; the tables above are for reference only — the Model Pricing tab in the top navigation is authoritative: Model Pricing.

💰 Pricing Information

Billing Methods

Pay-as-you-go: Charged based on actual Token usage
No minimum charge: Use what you pay for
Balance validity: Valid for 365 days from the top-up date, automatically reset on the next top-up (see Recharge Promotions)
Real-time deduction: Fees deducted from balance immediately after each call

Pricing Advantages

Official source forwarding with slight price advantages
Bulk users can contact customer service for better pricing
New accounts come with $0.05 in trial credit, enough to verify your integration works

View Real-time Pricing

Visit the APIYI Console Pricing Page for the latest pricing on all models, or the on-site Model Pricing Overview.

🛠️ Usage Recommendations

Model Selection Guide

Programming Development

Top performance: Claude Opus 5.5 (Terminal-Bench 4.0 66.4%), GPT-6 Astra (Terminal-Bench 4.0 57.9%), Claude Sonnet 5 (SWE-bench 85.2%), Kimi K3
High cost-performance: GPT-6 Sol (about half the price of 5.6), Gemini 3.8 Flash / 3.7 Flash, GLM-5.3 / 5.3-Flash, MiniMax-M3, DeepSeek V4.1 Flash
Alternatives: Grok 4.7 / 4.6, Qwen3.8-Max, GPT-5.6 Sol, Kimi K2.6

Text Creation

Top choice: GPT-6 Sol, Claude Opus 5.5, Claude Sonnet 5, Gemini 3.8 Flash
Alternatives: chat-latest, GPT-5.6 Terra, Claude Sonnet 4.6, GLM-5.3

Quick Response

Top choice: Gemini 3.5 Flash-Lite (zero thinking by default, ~2s), Claude Haiku 4.5 (2x faster), GPT-6 Luna
Alternatives: Gemini 3.1 Flash Lite, Gemini 2.5 Flash, Seed 2.1 Turbo (disable thinking explicitly)

Long Text Processing

Ultra-long context: Gemini 2.5 Pro (2M), Kimi K3 (1M, flat pricing), MiniMax-M3 (1M), GLM-5.3 (1M), GPT-6 series (1.05M), Claude Opus 5.5 (1M)
Note: some models switch to a higher billing tier past a threshold (Grok 4.5 / 4.6 / 4.7 above 200K, GPT-6 Sol / Luna above 272K, MiniMax-M3 above 512K) — estimate costs before long jobs

Image Generation

Latest recommendation: gpt-image-2.5-flare / gpt-image-2.5-sunburst (live Sep 2026, native 4K, precise size/quality control, same price as gpt-image-2, faster / more precise editing respectively), Nano Banana Pro (4K HD, best text rendering)
High cost-performance: Nano Banana 2 ($0.055/image, from $0.025 pay-as-you-go), Nano Banana Lite (~4s per image, $0.025/image)
Professional design: Seedream 5.0 Pro ($0.12/call, interactive editing + up to 10 reference images), Seedream 5.0 Lite ($0.035/image)
Fast generation: Seedream 5.0 Flash (live Sep 2026, $0.018/image, 15–20s per image, accurate Chinese typography)
Cheapest: gpt-image-2-all (reverse channel, $0.03/image)

Video Generation

Official relay first choice: VEO 3.1 Official ($0.3 / $1.2 per call, 4/6/8s, native synced audio)
Chinese-vendor workhorses: Seedance 2.5 and 2.0 series (2.5 / standard / fast / mini), Wan2.7, HappyHorse 1.1
Note: the Sora 2 channels have been retired — use the options above. See Image & Video Generation Models

Web Search

Native web access: Grok 4 All, Grok 3 All (no tool call needed)
Search grounding: Gemini 3.8 Flash / 3.7 Flash / 3.6 Flash / 3.5 Flash-Lite

Cost Optimization Recommendations

Tiered Usage: Use cheaper models for simple tasks, advanced models for complex tasks
Test Optimization: Test with small models first, use large models after determining needs
Batch Processing: Choose Luna / Lite / Mini tiers for large volumes of similar tasks
Cache Reuse: Lean on each vendor’s context cache (Kimi K3, Seed 2.1 Turbo and the Claude series bill cached input as low as 1/10)
Turn off unneeded thinking: some models think by default (Seed 2.1 Turbo, the Gemini Flash series, Qwen3.8-Max) — disabling it for short high-frequency Q&A saves both money and time

Model Pricing Overview - Full model list with live pricing
Model Comparison Testing - Image generation effect comparison
Real-time Price Query - Latest pricing information
API Documentation - Detailed interface specifications
Quick Start - Integration guide

Model list is continuously updated. We will promptly add newly released excellent models. For the latest launches, follow the Changelog. For specific model needs or bulk requirements, please contact customer service.

Basics

Basic API

Image API (Official)

Video API (Official)

Multimodal Understanding API

Text Generation

Audio API (Official)

Retrieval & Safety

🔥 Currently Recommended Models

Model Categories

🤖 OpenAI Series

🆕 Latest Models

✅ Stable / Classic

🎭 Claude Series (Anthropic)

🆕 Latest Models

✅ Stable / Classic

🌟 Google Gemini Series

🆕 Latest Models

✅ Stable / Classic

🚀 xAI Grok Series

🆕 Latest Models

✅ Stable / Classic

🔍 DeepSeek Series

🐘 Chinese Model Series

Zhipu AI (GLM)

Alibaba Qwen

Moonshot Kimi Series

ByteDance Seed Series

🌐 MiniMax Series

💰 Pricing Information

Billing Methods

Pricing Advantages

View Real-time Pricing

🛠️ Usage Recommendations

Model Selection Guide

Cost Optimization Recommendations

​🔥 Currently Recommended Models

​Model Categories

​🤖 OpenAI Series

​🆕 Latest Models

​✅ Stable / Classic

​🎭 Claude Series (Anthropic)

​🆕 Latest Models

​✅ Stable / Classic

​🌟 Google Gemini Series

​🆕 Latest Models

​✅ Stable / Classic

​🚀 xAI Grok Series

​🆕 Latest Models

​✅ Stable / Classic

​🔍 DeepSeek Series

​🐘 Chinese Model Series

​Zhipu AI (GLM)

​Alibaba Qwen

​Moonshot Kimi Series

​ByteDance Seed Series

​🌐 MiniMax Series

​💰 Pricing Information

​Billing Methods

​Pricing Advantages

​View Real-time Pricing

​🛠️ Usage Recommendations

​Model Selection Guide

​Cost Optimization Recommendations

​🔗 Related Resources

🔥 Currently Recommended Models

Model Categories

🤖 OpenAI Series

🆕 Latest Models

✅ Stable / Classic

🎭 Claude Series (Anthropic)

🆕 Latest Models

✅ Stable / Classic

🌟 Google Gemini Series

🆕 Latest Models

✅ Stable / Classic

🚀 xAI Grok Series

🆕 Latest Models

✅ Stable / Classic

🔍 DeepSeek Series

🐘 Chinese Model Series

Zhipu AI (GLM)

Alibaba Qwen

Moonshot Kimi Series

ByteDance Seed Series

🌐 MiniMax Series

💰 Pricing Information

Billing Methods

Pricing Advantages

View Real-time Pricing

🛠️ Usage Recommendations

Model Selection Guide

Cost Optimization Recommendations

🔗 Related Resources