Paid production API

Type / status: llm / General Availability · Version: 26.03

Model release date: 2026-03-16

License: Apache 2.0

Studio Conversations Advanced Prompt caching Prompt caching Prompt caching lets you reuse previously computed prompt tokens when requests share the same prefix, meaning the same beginning of the prompt. Cached prompt tokens are billed at 10% of the standard input token price, and cache hits can reduce response latency by reusing part of the previous prompt computation. i Information prompt_cache_key increases the chance of a cache hit, but it doesn't guarantee one . A cache hit happens when the API finds a compatible cached prefix for the request. When to use prompt caching Copy section link When to use prompt caching Use prompt_cache_key for multi-turn conversations, repeated system prompts, or workloads that send similar context across requests, such as: Multi-turn chat sessions that resend the conversation history. Applications that reuse the same system prompt or developer instructions. Fill-in-the-middle requests that reuse a long prompt prefix. Agent completion requests that reuse the same context across turns. Tip Prompt caching is less useful for short prompts, unrelated requests, or requests that change the first part of the prompt on every call. Enable prompt caching in your requests Copy section link Enable prompt caching in your requests Set the same prompt_cache_key on requests that are likely to share a prefix. Use a stable application-level identifier, such as a conversation ID, session ID, or workflow ID. Don't include secrets, API keys, or sensitive user data in prompt_cache_key . curl https://api.mistral.ai/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $MISTRAL_API_KEY " \ -d '{ "model": "mistral-large-latest", "prompt_cache_key": "support-session-42", "messages": [ { "role": "system", "content": "You are a support assistant. Answer with concise troubleshooting steps." }, { "role": "user", "content": "My API request returns a 401 error. What should I check?" } ] }' curl https://api.mistral.ai/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $MISTRAL_API_KEY " \ -d '{ "model": "mistral-large-latest", "prompt_cache_key": "support-session-42", "messages": [ { "role": "system", "content": "You are a support assistant. Answer with concise troubleshooting steps." }, { "role": "user", "content": "My API request returns a 401 error. What should I check?" } ] }' For the next turn in the same conversation, keep the same prompt_cache_key and preserve the shared prompt prefix in the request body: { "model" : "mistral-large-latest" , "prompt_cache_key" : "support-session-42" , "messages" : [ { "role" : "system" , "content" : "You are a support assistant. Answer with concise troubleshooting steps." } , { "role" : "user" , "content" : "My API request returns a 401 error. What should I check?" } , { "role" : "assistant" , "content" : "Check that your API key is present, valid, and sent in the Authorization header." } , { "role" : "user" , "content" : "How do I verify that the header is correct?" } ] } { "model" : "mistral-large-latest" , "prompt_cache_key" : "support-session-42" , "messages" : [ { "role" : "system" , "content" : "You are a support assistant. Answer with concise troubleshooting steps." } , { "role" : "user" , "content" : "My API request returns a 401 error. What should I check?" } , { "role" : "assistant" , "content" : "Check that your API key is present, valid, and sent in the Authorization header." } , { "role" : "user" , "content" : "How do I verify that the header is correct?" } ] } Check cached tokens Copy section link Check cached tokens Completion responses report cached prompt tokens in usage.prompt_tokens_details.cached_tokens . { "id" : "a4db7c530548494f8ff9986bcd2a7737" , "created" : 1773840064 , "model" : "mistral-large-latest" , "usage" : { "prompt_tokens" : 1013 , "total_tokens" : 1043 , "completion_tokens" : 30 , "prompt_tokens_details" : { "cached_tokens" : 1008 } } , "object" : "chat.completion" , "choices" : [ ] } { "id" : "a4db7c530548494f8ff9986bcd2a7737" , "created" : 1773840064 , "model" : "mistral-large-latest" , "usage" : { "prompt_tokens" : 1013 , "total_tokens" : 1043 , "completion_tokens" : 30 , "prompt_tokens_details" : { "cached_tokens" : 1008 } } , "object" : "chat.completion" , "choices" : [ ] } In this response, prompt_tokens contains all prompt tokens. The billable uncached input tokens are prompt_tokens - cached_tokens . For this example, billing includes: 5 uncached input tokens billed at the standard input token price. 1008 cached input tokens billed at 10% of the standard input token price. 30 completion tokens billed at the output token price. If the API doesn't serve tokens from cache, cached_tokens is 0 or omitted. i Information Cache blocks contain 64 tokens. Because of this block size: cached_tokens is a multiple of 64. Prompts with fewer than 64 prompt tokens do not have cache hits. Longer shared prefixes can reuse more cached tokens. Track billing Copy section link Track billing Cached tokens are billed at 10% of the standard input token price. To review cached token usage, open Admin Panel › Usage ↗ in Admin and check per model usage.

Asynchronous Batch API only, on supported endpoints; no regional Batch support.

Priority: 1.75× standard list price; verify model, region and account eligibility. Promotional stacking is not assumed. Official documentation

Regional: 1.1× standard list price; verify model, region and account eligibility. Promotional stacking is not assumed. Official documentation

Official documentation