Mistral Medium 3.5
Last verified August 24, 2026 · Mistral pricing ↗$1.50/1M input · $7.50/1M output · 256K context · Mistral
Mistral Medium 3.5 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens from Mistral, with a 256K-token context window. A typical chat reply (1,500 tokens in, 400 out) costs $0.0053, or $52.50 per 10,000 requests. On that workload it is cheaper than 64 of the 168 other buyable models tracked here.
Count Tokens
—
Tokens
—
Input Cost
—
Output Cost
Estimate Monthly Cost
Monthly Cost Estimator
Quick:
<$0.0001/mo
Pick a preset above or enter custom usage
What Mistral Medium 3.5 Costs Per Request
At $1.50 per 1M input and $7.50 per 1M output tokens, before caching or batch discounts.
| Workload | Input / output tokens | Per request | Per 10,000 requests |
|---|---|---|---|
| Chat reply | 1,500 / 400 | $0.0053 | $52.50 |
| RAG answer over retrieved docs | 8,000 / 600 | $0.017 | $165.00 |
| Coding-agent step | 30,000 / 2,000 | $0.060 | $600.00 |
Mistral Medium 3.5 vs Similarly Priced Models
Nearest buyable models by price, with the RAG answer above (8,000 in / 600 out) priced on each.
| Model | Input /1M | Output /1M | Context | RAG answer |
|---|---|---|---|---|
| Mistral Medium 3.5 Mistral | $1.50 | $7.50 | 256K | $0.017 |
| Mistral Large 4 Mistral | $0.700 | $2.10 | 1.0M | $0.0069 |
| Qwen3.6-Max-Preview Alibaba | $1.30 | $7.80 | 262K | $0.015 |
| GPT-4.1 OpenAI | $2.00 | $8.00 | 1.0M | $0.021 |
Alternatives to Mistral Medium 3.5
Pricing Details
Mistral128B dense parameters, multimodal. Consolidates Medium 3.1 + Magistral + Devstral 2. SWE-Bench Verified 77.6%. Modified MIT (open weights). API ID: mistral-medium-3.5. Released April 29, 2026.
Input / 1M tokens
$1.5
Output / 1M tokens
$7.5
Context Window
256K
Max Output
33K
Price History
No price change recorded since 2026-07-27, when this site started tracking this model; it launched on 2026-04-29.
Frequently Asked Questions
Common questions about Mistral Medium 3.5 pricing and usage
How much does Mistral Medium 3.5 cost?
Mistral Medium 3.5 costs $1.5 per 1 million input tokens and $7.5 per 1 million output tokens. This pricing is set by Mistral.
What tokenizer does Mistral Medium 3.5 use?
Mistral Medium 3.5 uses the cl100k_base tokenizer. This tokenizer has a vocabulary of ~100,000 tokens and is widely used across many models.
What is Mistral Medium 3.5's context window?
Mistral Medium 3.5 supports a context window of 256K tokens (256,000 tokens). The maximum output length is 33K tokens.
How does Mistral Medium 3.5 compare to other models?
On an 8,000-token-in, 600-token-out RAG answer, Mistral Medium 3.5 costs $0.017 per request. The nearest-priced alternatives cost: Mistral Large 4 (Mistral) $0.0069, Qwen3.6-Max-Preview (Alibaba) $0.015, GPT-4.1 (OpenAI) $0.021. The table above lists their full rates and context windows.
How do I count tokens for Mistral Medium 3.5?
Use the token counter at the top of this page or visit the homepage calculator. Paste your text and it will show the exact token count and cost for Mistral Medium 3.5 using the cl100k_base tokenizer.