Mistral Large 4 Pricing & Token Economics
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
Normalized Token Pricing Matrix
Real-time input, completion, and cache rates normalized to $/1M tokens.
Cost for prompts, instructions, document retrieval, and system context sent into the model.
Cost for generated text, code, tool calls, and structured JSON responses returned by the model.
Massive 90% savings on repeated context, documents, and system instructions.
Standard industry benchmark assuming 75% prompt reads and 25% completion generation.
Mistral Large 4 Monthly Bill Estimator
Estimated monthly costs across four standardized enterprise and developer workloads.
| Workload Scenario | Monthly Token Volume | Standard Bill | With Prompt Caching |
|---|---|---|---|
| Customer Support Chatbot 10M prompt tokens + 2.5M output tokens per month | 12.5M tokens (10M in / 2.5M out) | $12.03/mo | $7.75/mo -36% |
| Document Analysis & RAG 30M prompt tokens (PDFs/context) + 3M output summaries | 33.0M tokens (30M in / 3M out) | $26.67/mo | $13.86/mo -48% |
| Coding Agent / IDE Swarm 60M prompt tokens (repo context) + 15M code completions | 75.0M tokens (60M in / 15M out) | $72.15/mo | $46.53/mo -36% |
| Enterprise Agentic Workflow 120M prompt tokens (reasoning loops) + 30M output actions | 150.0M tokens (120M in / 30M out) | $144.30/mo | $93.06/mo -36% |
Need custom token inputs or prompt volumes?
Use our interactive multi-model token calculator to test exact prompt and completion sliders.
Architecture & Capabilities
Technical parameters, supported modalities, and optimal developer use cases.
🎯 Recommended Use Cases
Multilingual enterprise European deployments, GDPR compliance, synthetic data
Supported Modalities
📐 Context & Output Limits
- Maximum Context Window: 524,288 tokens (524K)
- Maximum Output Length: 262,144 tokens
- Speed / Latency Tier: Fast
- Official Provider: Mistral AI
Frequently Asked Questions
Everything you need to know about Mistral Large 4 API pricing and token calculations.
How much does Mistral Large 4 cost per 1M tokens?
Mistral Large 4 charges $0.68 per 1M input tokens and $2.09 per 1M output tokens. For standard balanced workloads (3:1 input:output ratio), the effective blended rate is $1.032/1M tokens.
Does Mistral Large 4 support prompt caching?
Yes. Cached prompt reads are billed at $0.0700 per 1M tokens, saving you up to 90% on repeated context, RAG documents, and system instructions.
What is Mistral Large 4's maximum context window?
Mistral Large 4 supports up to 524,288 tokens (524K) in its context window, allowing you to ingest large files and multi-turn chat history with up to 262,144 tokens generated per response.
How does Mistral Large 4 compare to other models?
With a CostRatio rating of A+, Mistral Large 4 provides competitive token economics for frontier flagship tasks. Review the peer comparison table above to compare input and completion rates directly against alternative models.
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