Mistral Medium 3.5 Pricing & Token Economics
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.
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.
Standard rates apply. No separate prompt cache discount published via public API routes.
Standard industry benchmark assuming 75% prompt reads and 25% completion generation.
Mistral Medium 3.5 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) | $33.75/mo | — |
| Document Analysis & RAG 30M prompt tokens (PDFs/context) + 3M output summaries | 33.0M tokens (30M in / 3M out) | $67.50/mo | — |
| Coding Agent / IDE Swarm 60M prompt tokens (repo context) + 15M code completions | 75.0M tokens (60M in / 15M out) | $202.50/mo | — |
| Enterprise Agentic Workflow 120M prompt tokens (reasoning loops) + 30M output actions | 150.0M tokens (120M in / 30M out) | $405.00/mo | — |
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: 262,144 tokens (262K)
- Maximum Output Length: 209,715 tokens
- Speed / Latency Tier: Fast
- Official Provider: Mistral AI
Frequently Asked Questions
Everything you need to know about Mistral Medium 3.5 API pricing and token calculations.
How much does Mistral Medium 3.5 cost per 1M tokens?
Mistral Medium 3.5 charges $1.50 per 1M input tokens and $7.50 per 1M output tokens. For standard balanced workloads (3:1 input:output ratio), the effective blended rate is $3.000/1M tokens.
Does Mistral Medium 3.5 support prompt caching?
Standard prompt rates apply. Mistral Medium 3.5 does not offer a separate discounted prompt caching tier via standard public endpoints.
What is Mistral Medium 3.5's maximum context window?
Mistral Medium 3.5 supports up to 262,144 tokens (262K) in its context window, allowing you to ingest large files and multi-turn chat history with up to 209,715 tokens generated per response.
How does Mistral Medium 3.5 compare to other models?
With a CostRatio rating of A+, Mistral Medium 3.5 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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