--- title: MiniMax M3 description: MiniMax's M3 language model with frontier coding and agentic capabilities, a 1M token context window, and multilingual support. image: https://developers.cloudflare.com/dev-products-preview.png --- > Documentation Index > Fetch the complete documentation index at: https://developers.cloudflare.com/ai/llms.txt > Use this file to discover all available pages before exploring further. [Skip to content](#%5Ftop) ![MiniMax logo](https://developers.cloudflare.com/_astro/minimax.DPZX-zZI.svg) # MiniMax M3 Text Generation • MiniMax `minimax/m3` MiniMax's M3 language model with frontier coding and agentic capabilities, a 1M token context window, and multilingual support. | Model Info | | | -------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ | | Context Window[ ↗](https://developers.cloudflare.com/workers-ai/glossary/) | 1,000,000 tokens | | Terms and License | [link ↗](https://www.minimaxi.com/terms) | | More information | [link ↗](https://www.minimax.io/blog/minimax-m3) | | Zero data retention | Yes | | Request formats | Chat Completions, Anthropic Messages | | Pricing | [View pricing in the Cloudflare dashboard ↗](https://dash.cloudflare.com/?to=/:account/ai/models/minimax/m3) | ## Usage * [ TypeScript ](#tab-panel-908) * [ cURL ](#tab-panel-909) TypeScript ``` const response = await env.AI.run( 'minimax/m3', { max_tokens: 2048, messages: [{ content: 'What is the capital of France?', role: 'user' }] },)console.log(response) ``` Terminal window ``` curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \ --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \ --header "Content-Type: application/json" \ --data '{ "model": "minimax/m3", "max_tokens": 2048, "messages": [ { "content": "What is the capital of France?", "role": "user" } ]}' ``` * [ Output ](#tab-panel-918) * [ Raw response ](#tab-panel-919) The capital of France is **Paris**. ``` { "id": "066cf8a95614a7ebfcaa6ffd7f2cd663", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The capital of France is **Paris**.", "name": "MiniMax AI", "audio_content": "", "reasoning_content": "The user is asking a simple factual question: \"What is the capital of France?\" This is straightforward - the capital of France is Paris.", "reasoning_details": [ { "type": "reasoning.text", "id": "reasoning-text-1", "format": "MiniMax-response-v1", "index": 0, "text": "The user is asking a simple factual question: \"What is the capital of France?\" This is straightforward - the capital of France is Paris." } ] }, "finish_reason": "stop" } ], "created": 1780336041, "model": "MiniMax-M3", "object": "chat.completion", "usage": { "total_tokens": 221, "prompt_tokens": 183, "completion_tokens": 38, "total_characters": 0, "prompt_tokens_details": { "cached_tokens": 114 } }, "input_sensitive": false, "output_sensitive": false, "base_resp": { "status_code": 0, "status_msg": "" }, "input_sensitive_type": 0, "output_sensitive_type": 0, "output_sensitive_int": 0, "gatewayMetadata": { "keySource": "Unified" }} ``` ## Examples **With System Prompt** — Using a system prompt to guide behavior * [ TypeScript ](#tab-panel-910) * [ cURL ](#tab-panel-911) TypeScript ``` const response = await env.AI.run( 'minimax/m3', { max_tokens: 2048, messages: [ { content: 'You are a helpful cooking assistant. Give concise recipes with metric measurements.', role: 'system', }, { content: 'How do I make a simple pasta aglio e olio?', role: 'user' }, ], temperature: 0.7, },)console.log(response) ``` Terminal window ``` curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \ --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \ --header "Content-Type: application/json" \ --data '{ "model": "minimax/m3", "max_tokens": 2048, "messages": [ { "content": "You are a helpful cooking assistant. Give concise recipes with metric measurements.", "role": "system" }, { "content": "How do I make a simple pasta aglio e olio?", "role": "user" } ], "temperature": 0.7}' ``` * [ Output ](#tab-panel-920) * [ Raw response ](#tab-panel-921) # Pasta Aglio e Olio A classic Italian dish that comes together in minutes with just a few ingredients. **Serves:** 2 | **Prep:** 5 min | **Cook:** 15 min ## Ingredients - 200 g spaghetti or linguine - 80 ml extra virgin olive oil - 4 garlic cloves, thinly sliced - 1–2 small dried red chilies, crushed (or ¼ tsp chili flakes) - Salt, for pasta water - 15 g fresh flat-leaf parsley, chopped - Grated Parmesan or Pecorino (optional, traditionalists skip it) ## Method 1. **Boil pasta:** Bring a large pot of well-salted water to a rolling boil. Cook the pasta until al dente (about 1 minute less than package instructions). Reserve 1 cup of pasta water before draining. 2. **Infuse oil:** While the pasta cooks, gently heat the olive oil in a wide pan over low-medium heat. Add the garlic and chilies, and cook slowly for 2–3 minutes until the garlic turns pale golden. **Don't let it brown** — it will turn bitter. 3. **Combine:** Add the drained pasta to the pan with a splash of reserved pasta water. Toss vigorously over medium heat for about 1 minute so the pasta absorbs the oil. 4. **Finish:** Add more pasta water as needed to create a light, silky sauce that coats the noodles. Stir in the parsley and season with salt. 5. **Serve** immediately, topped with cheese if using. ## Tips - Cold olive oil + slow heat = better flavor extraction. - The starch in the pasta water is key to a glossy, emulsified sauce. Buon appetito! 🍝 ``` { "id": "066cf8abfaba58c357c660ebfad38073", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "# Pasta Aglio e Olio\n\nA classic Italian dish that comes together in minutes with just a few ingredients.\n\n**Serves:** 2 | **Prep:** 5 min | **Cook:** 15 min\n\n## Ingredients\n- 200 g spaghetti or linguine\n- 80 ml extra virgin olive oil\n- 4 garlic cloves, thinly sliced\n- 1–2 small dried red chilies, crushed (or ¼ tsp chili flakes)\n- Salt, for pasta water\n- 15 g fresh flat-leaf parsley, chopped\n- Grated Parmesan or Pecorino (optional, traditionalists skip it)\n\n## Method\n1. **Boil pasta:** Bring a large pot of well-salted water to a rolling boil. Cook the pasta until al dente (about 1 minute less than package instructions). Reserve 1 cup of pasta water before draining.\n2. **Infuse oil:** While the pasta cooks, gently heat the olive oil in a wide pan over low-medium heat. Add the garlic and chilies, and cook slowly for 2–3 minutes until the garlic turns pale golden. **Don't let it brown** — it will turn bitter.\n3. **Combine:** Add the drained pasta to the pan with a splash of reserved pasta water. Toss vigorously over medium heat for about 1 minute so the pasta absorbs the oil.\n4. **Finish:** Add more pasta water as needed to create a light, silky sauce that coats the noodles. Stir in the parsley and season with salt.\n5. **Serve** immediately, topped with cheese if using.\n\n## Tips\n- Cold olive oil + slow heat = better flavor extraction.\n- The starch in the pasta water is key to a glossy, emulsified sauce.\n\nBuon appetito! 🍝", "name": "MiniMax AI", "audio_content": "", "reasoning_content": "The user is asking for a simple pasta aglio e olio recipe. The system prompt says I should give concise recipes with metric measurements. Let me provide a classic, simple recipe.", "reasoning_details": [ { "type": "reasoning.text", "id": "reasoning-text-1", "format": "MiniMax-response-v1", "index": 0, "text": "The user is asking for a simple pasta aglio e olio recipe. The system prompt says I should give concise recipes with metric measurements. Let me provide a classic, simple recipe." } ] }, "finish_reason": "stop" } ], "created": 1780336043, "model": "MiniMax-M3", "object": "chat.completion", "usage": { "total_tokens": 595, "prompt_tokens": 197, "completion_tokens": 398, "total_characters": 0, "prompt_tokens_details": { "cached_tokens": 114 } }, "input_sensitive": false, "output_sensitive": false, "base_resp": { "status_code": 0, "status_msg": "" }, "input_sensitive_type": 0, "output_sensitive_type": 0, "output_sensitive_int": 0, "gatewayMetadata": { "keySource": "Unified" }} ``` **Multi-turn Conversation** — Continuing a conversation with context * [ TypeScript ](#tab-panel-914) * [ cURL ](#tab-panel-915) TypeScript ``` const response = await env.AI.run( 'minimax/m3', { max_tokens: 2048, messages: [ { content: 'What are the main differences between TCP and UDP?', role: 'user' }, { content: 'TCP is connection-oriented and guarantees delivery, while UDP is connectionless and faster but without delivery guarantees.', role: 'assistant', }, { content: 'When would I choose UDP over TCP?', role: 'user' }, ], temperature: 0.5, },)console.log(response) ``` Terminal window ``` curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \ --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \ --header "Content-Type: application/json" \ --data '{ "model": "minimax/m3", "max_tokens": 2048, "messages": [ { "content": "What are the main differences between TCP and UDP?", "role": "user" }, { "content": "TCP is connection-oriented and guarantees delivery, while UDP is connectionless and faster but without delivery guarantees.", "role": "assistant" }, { "content": "When would I choose UDP over TCP?", "role": "user" } ], "temperature": 0.5}' ``` * [ Output ](#tab-panel-916) * [ Raw response ](#tab-panel-917) Use UDP for time-sensitive applications like video streaming, online gaming, or VoIP where speed matters more than perfect reliability. ``` { "id": "066cf8bb1c666fc68c6810518100c7ba", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Use UDP for time-sensitive applications like video streaming, online gaming, or VoIP where speed matters more than perfect reliability.", "name": "MiniMax AI", "audio_content": "", "reasoning_content": "" }, "finish_reason": "stop" } ], "created": 1780336059, "model": "MiniMax-M3", "object": "chat.completion", "usage": { "total_tokens": 250, "prompt_tokens": 225, "completion_tokens": 25, "total_characters": 0, "prompt_tokens_details": { "cached_tokens": 114 } }, "input_sensitive": false, "output_sensitive": false, "base_resp": { "status_code": 0, "status_msg": "" }, "input_sensitive_type": 0, "output_sensitive_type": 0, "output_sensitive_int": 0, "gatewayMetadata": { "keySource": "Unified" }} ``` **Creative Writing** — Higher temperature for creative output * [ TypeScript ](#tab-panel-912) * [ cURL ](#tab-panel-913) TypeScript ``` const response = await env.AI.run( 'minimax/m3', { max_tokens: 2048, messages: [{ content: 'Write a haiku about programming.', role: 'user' }], temperature: 0.9, },)console.log(response) ``` Terminal window ``` curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \ --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \ --header "Content-Type: application/json" \ --data '{ "model": "minimax/m3", "max_tokens": 2048, "messages": [ { "content": "Write a haiku about programming.", "role": "user" } ], "temperature": 0.9}' ``` * [ Output ](#tab-panel-922) * [ Raw response ](#tab-panel-923) Fingers on the keys, Building worlds from empty void— Code becomes the light. ``` { "id": "066cf8be5675980f2ff647974879fb77", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Fingers on the keys,\nBuilding worlds from empty void—\nCode becomes the light.", "name": "MiniMax AI", "audio_content": "", "reasoning_content": "The user wants a haiku about programming. A haiku is a traditional Japanese poem with three lines following a 5-7-5 syllable pattern. I should create one that captures something meaningful about programming.\n\nLet me think of a few options:\n\n1. About debugging:\nLines (5-7-5):\n- \"Bugs hide in the code\" (4) - need 5\n- \"Silent errors whisper\" (6) - need 7\n- \"Find them, fix, deploy\" (5) ✓\n\nLet me recount:\n- \"Bugs hide in the code\" - Bugs(1) hide(2) in(3) the(4) code(5) = 5 ✓\n- \"Silent errors whisper\" - Si-lent(2) er-rors(4) whis-per(6) = 6, need 7\n- Try: \"Silent errors always whisper\" - 7 ✓\n- \"Find them, fix, deploy\" - Find(1) them(2) fix(3) de-ploy(5) = 5 ✓\n\n2. About code in general:\n- \"Logic flows like streams\" (5) - Lo-gic(2) flows(3) like(4) streams(5) = 5 ✓\n- \"Through brackets and curved braces\" (7) - Through(1) brack-ets(3) and(4) curved(5) bra-ces(7) = 7 ✓\n- \"Dreams made into life\" (5) - Dreams(1) made(2) in-to(4) life(5) = 5 ✓\n\n3. Another option:\n- \"Fingers on the keys\" (5) - Fin-gers(2) on(3) the(4) keys(5) = 5 ✓\n- \"Building worlds from nothing\" (7) - Build-ing(2) worlds(3) from(4) no-thing(6) = 6, need 7\n- Try: \"Building worlds from empty void\" - Build-ing(2) worlds(3) from(4) emp-ty(6) void(7) = 7 ✓\n- \"Code becomes the light\" (5) - Code(1) be-comes(3) the(4) light(5) = 5 ✓\n\nLet me go with option 2 or 3, both are nice. I'll provide one clean haiku and maybe offer an alternative.\n\nActually, let me just give one good one. Option 3 feels more poetic and evocative.\n\nLet me verify option 3 once more:\n- \"Fingers on the keys\" - Fin-gers(2) on(3) the(4) keys(5) = 5 ✓\n- \"Building worlds from empty void\" - Build-ing(2) worlds(3) from(4) emp-ty(6) void(7) = 7 ✓\n- \"Code becomes the light\" - Code(1) be-comes(3) the(4) light(5) = 5 ✓\n\nThat works well. I could also provide a simpler one focused on a different aspect of programming.\n\nI'll give a haiku with a clean delivery. Let me also think about a second option to make it more useful, or just stick with one well-crafted one.\n\nI'll provide one haiku and keep it concise.", "reasoning_details": [ { "type": "reasoning.text", "id": "reasoning-text-1", "format": "MiniMax-response-v1", "index": 0, "text": "The user wants a haiku about programming. A haiku is a traditional Japanese poem with three lines following a 5-7-5 syllable pattern. I should create one that captures something meaningful about programming.\n\nLet me think of a few options:\n\n1. About debugging:\nLines (5-7-5):\n- \"Bugs hide in the code\" (4) - need 5\n- \"Silent errors whisper\" (6) - need 7\n- \"Find them, fix, deploy\" (5) ✓\n\nLet me recount:\n- \"Bugs hide in the code\" - Bugs(1) hide(2) in(3) the(4) code(5) = 5 ✓\n- \"Silent errors whisper\" - Si-lent(2) er-rors(4) whis-per(6) = 6, need 7\n- Try: \"Silent errors always whisper\" - 7 ✓\n- \"Find them, fix, deploy\" - Find(1) them(2) fix(3) de-ploy(5) = 5 ✓\n\n2. About code in general:\n- \"Logic flows like streams\" (5) - Lo-gic(2) flows(3) like(4) streams(5) = 5 ✓\n- \"Through brackets and curved braces\" (7) - Through(1) brack-ets(3) and(4) curved(5) bra-ces(7) = 7 ✓\n- \"Dreams made into life\" (5) - Dreams(1) made(2) in-to(4) life(5) = 5 ✓\n\n3. Another option:\n- \"Fingers on the keys\" (5) - Fin-gers(2) on(3) the(4) keys(5) = 5 ✓\n- \"Building worlds from nothing\" (7) - Build-ing(2) worlds(3) from(4) no-thing(6) = 6, need 7\n- Try: \"Building worlds from empty void\" - Build-ing(2) worlds(3) from(4) emp-ty(6) void(7) = 7 ✓\n- \"Code becomes the light\" (5) - Code(1) be-comes(3) the(4) light(5) = 5 ✓\n\nLet me go with option 2 or 3, both are nice. I'll provide one clean haiku and maybe offer an alternative.\n\nActually, let me just give one good one. Option 3 feels more poetic and evocative.\n\nLet me verify option 3 once more:\n- \"Fingers on the keys\" - Fin-gers(2) on(3) the(4) keys(5) = 5 ✓\n- \"Building worlds from empty void\" - Build-ing(2) worlds(3) from(4) emp-ty(6) void(7) = 7 ✓\n- \"Code becomes the light\" - Code(1) be-comes(3) the(4) light(5) = 5 ✓\n\nThat works well. I could also provide a simpler one focused on a different aspect of programming.\n\nI'll give a haiku with a clean delivery. Let me also think about a second option to make it more useful, or just stick with one well-crafted one.\n\nI'll provide one haiku and keep it concise." } ] }, "finish_reason": "stop" } ], "created": 1780336062, "model": "MiniMax-M3", "object": "chat.completion", "usage": { "total_tokens": 912, "prompt_tokens": 183, "completion_tokens": 729, "total_characters": 0, "prompt_tokens_details": { "cached_tokens": 114 } }, "input_sensitive": false, "output_sensitive": false, "base_resp": { "status_code": 0, "status_msg": "" }, "input_sensitive_type": 0, "output_sensitive_type": 0, "output_sensitive_int": 0, "gatewayMetadata": { "keySource": "Unified" }} ``` ## Parameters Schema variant Chat CompletionsMessages * [ Input ](#tab-panel-924) * [ Output ](#tab-panel-925) ▶messages\[\] `array`required temperature `number`minimum: 0maximum: 1 max\_tokens `number`exclusiveMinimum: 0 max\_completion\_tokens `number`exclusiveMinimum: 0 top\_p `number`minimum: 0maximum: 1 stream `boolean` ▶stream\_options{} `object` ▶tools\[\] `array` tool\_choice `string`enum: none, auto ▶response\_format{} `object` mask\_sensitive\_info `boolean` ▶messages\[\] `array`required max\_tokens `number`requiredexclusiveMinimum: 0 system `string` temperature `number`minimum: 0maximum: 1 top\_p `number`minimum: 0maximum: 1 top\_k `number`exclusiveMinimum: 0 stream `boolean` ▶metadata{} `object` id `string` ▶choices\[\] `array` created `number` model `string` object `string`enum: chat.completion, chat.completion.chunk ▶usage{} `object` input\_sensitive `boolean` output\_sensitive `boolean` ▶base\_resp{} `object` id `string` type `string`const: message role `string`const: assistant ▶content\[\] `array` model `string` stop\_reason `string | null` ▶usage{} `object` ## API Schemas (Raw) Input [ ](https://developers.cloudflare.com/ai/models/minimax/m3/schema-input.json "Open") [ ](https://developers.cloudflare.com/ai/models/minimax/m3/schema-input.json "Download") Output [ ](https://developers.cloudflare.com/ai/models/minimax/m3/schema-output.json "Open") [ ](https://developers.cloudflare.com/ai/models/minimax/m3/schema-output.json "Download") ```json {"@context":"https://schema.org","@type":"TechArticle","@id":"https://developers.cloudflare.com/ai/models/minimax/m3/#page","headline":"MiniMax M3 (MiniMax) · Cloudflare AI docs · Cloudflare AI docs","description":"MiniMax's M3 language model with frontier coding and agentic capabilities, a 1M token context window, and multilingual support.","url":"https://developers.cloudflare.com/ai/models/minimax/m3/","inLanguage":"en","image":"https://developers.cloudflare.com/dev-products-preview.png","publisher":{"@type":"Organization","name":"Cloudflare","url":"https://www.cloudflare.com/"},"isPartOf":{"@type":"WebSite","@id":"https://developers.cloudflare.com/#website","name":"Cloudflare Docs","url":"https://developers.cloudflare.com/"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@id":"/directory/","name":"Directory"}},{"@type":"ListItem","position":2,"item":{"@id":"/ai/","name":"AI"}},{"@type":"ListItem","position":3,"item":{"@id":"/ai/models/","name":"Models"}}]} ```