Amanai Docs
Chat
Chat model catalog, capabilities, reasoning controls, and compatible request formats.
Overview
Chat models share one authenticated catalog and work through OpenAI-compatible or Anthropic-compatible request formats. Change the model field without changing your account, base URL, or API key.
Dedicated documentation. Image, video, and speech models are in Media; live WebRTC sessions are in Realtime; vectors and ranking are in Embeddings and Rerank. Typed decisions use the separate System One endpoint.
Chat endpoints
| Endpoint | Compatibility | Use when |
|---|---|---|
POST /v1/chat/completions | OpenAI Chat Completions | Messages, streaming, tools, and broad SDK compatibility |
POST /v1/responses | OpenAI Responses | Responses SDK, structured output, and agent-style workflows |
POST /v1/messages | Anthropic Messages | Anthropic SDK and Claude Code-compatible clients |
Model catalog
The authenticated GET /v1/models response is authoritative for the models available to your key. The page starts from the latest promoted snapshot and refreshes from the public catalog outside preview mode.
curl https://api.amanai.dev/v1/models -H "Authorization: Bearer $AMANAI_API_KEY" 
GPT
| Model | Description |
|---|---|
GPT 5.5 amanai/gpt-5.5 | OpenAI GPT-5.5 — a new class of intelligence for coding and professional work; 1.05M context. |
GPT 6 Astra amanai/gpt-6-astra | OpenAI GPT-6 Astra — advanced reasoning model for complex professional work; 1.05M context, 128k output. |
GPT 5.6 Sol amanai/gpt-5.6-sol | OpenAI GPT-5.6 Sol — frontier model for complex reasoning and coding; 1.05M context, 128k output. |
GPT 5.6 Terra amanai/gpt-5.6-terra | OpenAI GPT-5.6 Terra — balances intelligence and cost (mini tier); 1.05M context. |
GPT 5.6 Luna amanai/gpt-5.6-luna | OpenAI GPT-5.6 Luna — cost-sensitive, high-volume workloads (nano tier); 1.05M context. |
Claude
| Model | Description |
|---|---|
Claude Fable 5.1 amanai/claude-fable-5.1 | Anthropic Claude Fable 5.1 — latest Fable tier for coding and agentic work; 1M context, 128k output. |
Claude Fable 5 amanai/claude-fable-5 | Anthropic Claude Fable 5 — newest Claude tier for coding and agentic work; 1M context, 128k output. |
Claude Opus 5 amanai/claude-opus-5 | Anthropic Claude Opus 5 — flagship Claude for frontier coding, reasoning and agents; 1M context, 128k output. |
Claude Opus 4.8 amanai/claude-opus-4.8 | Anthropic Claude Opus 4.8 — frontier coding and long-horizon agentic work; 1M context. |
Claude Opus 4.7 amanai/claude-opus-4.7 | Anthropic Claude Opus 4.7 — high-end coding and deep reasoning; 1M context. |
Claude Opus 4.6 amanai/claude-opus-4.6 | Anthropic Claude Opus 4.6 — balanced Opus-tier coding and analysis; 1M context. |
Claude Sonnet 5 amanai/claude-sonnet-5 | Anthropic Claude Sonnet 5 — fast, capable coding and everyday reasoning; 1M context. |
Claude Sonnet 4.6 amanai/claude-sonnet-4.6 | Anthropic Claude Sonnet 4.6 — fast all-round coding and chat; 1M context. |
Claude Haiku 4.5 amanai/claude-haiku-4.5 | Anthropic Claude Haiku 4.5 — fastest Claude for lightweight, high-volume tasks; 200k context. |
Grok
| Model | Description |
|---|---|
Grok 4.5 amanai/grok-4.5 | xAI Grok 4.5 — multimodal model with text, image, and file input plus web/X search; 500k context. |
Grok 4.6 amanai/grok-4.6 | xAI Grok 4.6 — agentic coding and visual work with text, image, and file input; 500k context. |
GLM
| Model | Description |
|---|---|
GLM 5.3 amanai/glm-5.3 | Z.AI GLM-5.3 — latest-generation model with a 1M context window and up to 128k output tokens. |
GLM 5.3 Flash amanai/glm-5.3-flash | Z.AI GLM-5.3 Flash — efficient multimodal GLM with a 1M context window and up to 128k output tokens. |
GLM 5.2 amanai/glm-5.2 | Z.AI GLM-5.2 — model for long-horizon tasks with a 1M context window and up to 128k output tokens. |
GLM 5.1 amanai/glm-5.1 | Z.AI GLM-5.1 — flagship for long-horizon autonomous tasks (Opus 4.6-aligned); 200k context, 128k output. |
GLM 5.0 Turbo amanai/glm-5.0-turbo | Z.AI GLM-5-Turbo — deeply optimized for OpenClaw-style agent tasks; 200k context, 128k output. |
GLM 5V Turbo amanai/glm-5v-turbo | Z.AI GLM-5V-Turbo — multimodal coding model with text, image, and video input; 200k context, 128k output. |
Meta
| Model | Description |
|---|---|
Muse Spark 1.1 amanai/muse-spark-1.1 | Meta Muse Spark 1.1 — long-context agentic reasoning; 1,048,576-token context and 1M output verified. Amanai's current route accepts text input only. |
Muse Spark 1.2 amanai/muse-spark-1.2 | Meta Muse Spark 1.2 — long-context agentic reasoning; 1,048,576-token context and 1M output verified. Amanai's current route accepts text input only. |
Qwen
| Model | Description |
|---|---|
Qwen 3.8 Max amanai/qwen3.8-max | Alibaba Qwen3.8 Max — multimodal flagship with text, image, and video input; 1M context. |
Qwen 3.7 Max amanai/qwen3.7-max | Alibaba Qwen3.7 Max — strongest Qwen reasoning with built-in tools; 1M context. |
Qwen 3.7 Plus amanai/qwen3.7-plus | Alibaba Qwen3.7 Plus — balanced multimodal performance and cost for large codebases; 1M context. |
Kimi
| Model | Description |
|---|---|
Kimi K3 amanai/kimi-k3 | Moonshot AI Kimi K3 — multimodal model with text, image, and video input; 1M context for coding and deep reasoning. |
Kimi K2.7 amanai/kimi-k2.7 | Moonshot AI Kimi K2.7 — dedicated coding model, reliable long-context instruction following; 256k context. |
Kimi K2.6 amanai/kimi-k2.6 | Moonshot AI Kimi K2.6 — text and image input with thinking and non-thinking modes; 256k context. |
Kimi K2.5 amanai/kimi-k2.5 | Moonshot AI Kimi K2.5 — open-source SoTA in agents, code and visual understanding; 256k context. |
DeepSeek
| Model | Description |
|---|---|
DeepSeek V4 Pro amanai/deepseek-v4-pro | DeepSeek V4 Pro — flagship reasoning model, thinking + non-thinking modes; 1M context, 384k output. |
DeepSeek V4 Pro 0813 amanai/deepseek-v4-pro-0813 | DeepSeek V4 Pro (snapshot 0813) — pinned Pro release; 1M context, 384k output. |
DeepSeek V4 Flash amanai/deepseek-v4-flash | DeepSeek V4 Flash — fast, cost-efficient V4 with thinking modes; 1M context, 384k output. |
DeepSeek V4.1 Flash amanai/deepseek-v4.1-flash | DeepSeek V4.1 Flash — fast, cost-efficient multimodal reasoning with text and image input; 1M context, 128k output. |
DeepSeek V4 Flash 0731 amanai/deepseek-v4-flash-0731 | DeepSeek V4 Flash (snapshot 0731) — pinned release of V4 Flash; 1M context, 384k output. |
MiniMax
| Model | Description |
|---|---|
MiniMax M3 amanai/minimax-m3 | MiniMax M3 — native multimodal model with text, image, and video input; 1M context via MiniMax Sparse Attention. |
MiniMax M2.7 amanai/minimax-m2.7 | MiniMax M2.7 — efficient coding and agent model; 200k context. |
Hunyuan
| Model | Description |
|---|---|
Hunyuan 3 amanai/hy3 | Tencent Hunyuan 3 — text model for general chat, coding, and reasoning; 1M context, 64k output. |
Hunyuan 4 amanai/hy4 | Tencent Hunyuan 4 — long-context text reasoning model; 1M context, 64k output. |
Capabilities
Capabilities are model-specific. Read input_modalities, context_length, max_output, and thinking from the authenticated catalog instead of assuming every model supports the same controls.
| Model | Input | Context | Max output | Reasoning |
|---|---|---|---|---|
GLM 5.3 amanai/glm-5.3 | 1M | 128k | auto, low, medium, high, xhigh, max | |
GLM 5.3 Flash amanai/glm-5.3-flash | 1M | 128k | auto, low, medium, high, xhigh, max | |
GLM 5.2 amanai/glm-5.2 | 1M | 128k | auto, low, medium, high, xhigh, max | |
GLM 5.1 amanai/glm-5.1 | 200k | 128k | auto, low, medium, high | |
GLM 5.0 Turbo amanai/glm-5.0-turbo | 200k | 128k | auto, low, medium, high | |
GLM 5V Turbo amanai/glm-5v-turbo | 200k | 128k | auto, low, medium, high | |
Muse Spark 1.1 amanai/muse-spark-1.1 | 1.05M | 1M | auto, none, low, medium, high, xhigh, max | |
Muse Spark 1.2 amanai/muse-spark-1.2 | 1.05M | 1M | auto, none, low, medium, high, xhigh, max | |
Qwen 3.8 Max amanai/qwen3.8-max | 1M | 64k | auto, none, low, medium, high | |
Qwen 3.7 Max amanai/qwen3.7-max | 1M | 64k | auto, none, low, medium, high | |
Qwen 3.7 Plus amanai/qwen3.7-plus | 1M | 64k | auto, none, low, medium, high | |
Kimi K3 amanai/kimi-k3 | 1M | 64k | auto, low, high, max | |
Kimi K2.7 amanai/kimi-k2.7 | 256k | 32k | auto, low, medium, high | |
Kimi K2.6 amanai/kimi-k2.6 | 256k | 32k | auto, low, medium, high | |
Kimi K2.5 amanai/kimi-k2.5 | 256k | 32k | auto, low, medium, high | |
DeepSeek V4 Pro amanai/deepseek-v4-pro | 1M | 384k | auto, low, medium, high | |
DeepSeek V4 Pro 0813 amanai/deepseek-v4-pro-0813 | 1M | 384k | auto, none, low, medium, high, max | |
DeepSeek V4 Flash amanai/deepseek-v4-flash | 1M | 384k | auto, low, medium, high | |
DeepSeek V4.1 Flash amanai/deepseek-v4.1-flash | 1M | 128k | auto, none, low, medium, high, max | |
DeepSeek V4 Flash 0731 amanai/deepseek-v4-flash-0731 | 1M | 384k | auto, none, low, medium, high, max | |
MiniMax M3 amanai/minimax-m3 | 1M | 48k | auto, low, medium, high | |
MiniMax M2.7 amanai/minimax-m2.7 | 200k | 48k | auto, low, medium, high | |
Hunyuan 3 amanai/hy3 | 1M | 64k | auto, low, medium, high | |
Hunyuan 4 amanai/hy4 | 1M | 64k | auto, low, medium, high | |
Grok 4.5 amanai/grok-4.5 | 500k | 64k | auto, minimal, low, medium, high, xhigh | |
Grok 4.6 amanai/grok-4.6 | 500k | 64k | auto, low, medium, high, xhigh | |
GPT 5.5 amanai/gpt-5.5 | 1.05M | 128k | auto, none, low, medium, high, xhigh | |
GPT 6 Astra amanai/gpt-6-astra | 1.05M | 128k | auto, low, medium, high, xhigh, max | |
GPT 5.6 Sol amanai/gpt-5.6-sol | 1.05M | 128k | auto, none, low, medium, high, xhigh, max | |
GPT 5.6 Terra amanai/gpt-5.6-terra | 1.05M | 128k | auto, none, low, medium, high, xhigh, max | |
GPT 5.6 Luna amanai/gpt-5.6-luna | 1.05M | 128k | auto, none, low, medium, high, xhigh, max | |
Claude Fable 5.1 amanai/claude-fable-5.1 | 1M | 128k | auto, low, medium, high, xhigh, max | |
Claude Fable 5 amanai/claude-fable-5 | 1M | 128k | auto, low, medium, high, xhigh, max | |
Claude Opus 5 amanai/claude-opus-5 | 1M | 128k | auto, low, medium, high, xhigh, max | |
Claude Opus 4.8 amanai/claude-opus-4.8 | 1M | 128k | auto, low, medium, high, xhigh, max | |
Claude Opus 4.7 amanai/claude-opus-4.7 | 1M | 128k | auto, low, medium, high, xhigh, max | |
Claude Opus 4.6 amanai/claude-opus-4.6 | 1M | 128k | auto, none, low, medium, high, xhigh, max | |
Claude Sonnet 5 amanai/claude-sonnet-5 | 1M | 128k | auto, low, medium, high, xhigh, max | |
Claude Sonnet 4.6 amanai/claude-sonnet-4.6 | 1M | 128k | auto, none, low, medium, high, xhigh, max | |
Claude Haiku 4.5 amanai/claude-haiku-4.5 | 200k | 64k | auto, low, medium, high, xhigh, max |
Reasoning controls
Use a level advertised in the selected model's thinking array. auto lets the model choose, while none disables reasoning only where explicitly supported. A rejected or unsupported level should be corrected client-side instead of silently guessed.
Example
curl https://api.amanai.dev/v1/chat/completions \
-H "Authorization: Bearer $AMANAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "amanai/glm-5.3",
"messages": [{"role": "user", "content": "Explain semantic caching briefly."}],
"thinking": "medium",
"stream": true
}'See API reference for common authentication, headers, errors, and discovery. See Billing & pricing for every model's current billing unit and rate.