x-ai
// mistralai
Mistral Medium 3.5
mistralai/mistral-medium-3-5
Mistral Medium 3.5 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens with a 262K-token context window.
A reasoning, tool-calling model from mistralai, released Apr 30, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $1.50
- Output / 1M
- $7.50
- Context
- 262K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $1.50 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $7.50 |
| Blended price 3:1 input:output — #73 most expensive of 343 listed models | $3.00 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 262,144 tokens |
| Max output | 209,715 tokens |
| Input modalities | text, image, file |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Apr 30, 2026 |
Also listed as mistralai/mistral-medium-3-5:batch ($1.50 blended)— the same model at a different price or rate limit.
What Mistral Medium 3.5 costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $960.00/mo |
| RAG assistant 8K in / 600 out × 100K requests | $1,650/mo |
| Coding agent 40K in / 4K out × 20K requests | $1,800/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $2,063/mo |
| Bulk classification 500 in / 20 out × 5M requests | $4,500/mo |
Compare Mistral Medium 3.5 with
Benchmarked models at a similar price.
x-ai
Mistral Medium 3.5 vs SpaceXAI: Grok 4.5
Mistral Medium 3.5 vs Gemini 3.5 Flash
x-ai
Mistral Medium 3.5 vs SpaceXAI: Grok 4.7
openai
Mistral Medium 3.5 vs GPT-6 Sol
openai
Mistral Medium 3.5 vs GPT-5.6 Sol
Mistral Medium 3.5 FAQ
How much does Mistral Medium 3.5 cost?
Mistral Medium 3.5 lists at $1.50 per 1M input tokens and $7.50 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $1,650 at list price.
What is the context window of Mistral Medium 3.5?
Mistral Medium 3.5 accepts up to 262,144 tokens of context and can return up to 209,715 output tokens per response.
Does Mistral Medium 3.5 support tool calling?
Yes — Mistral Medium 3.5 supports tool (function) calling and exposes extended reasoning. It accepts text, image, file input.
How does Mistral Medium 3.5 score on benchmarks?
LiveBench has not published a run for Mistral Medium 3.5 yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Mistral Medium 3.5?
On OpenRouter the model ID is "mistralai/mistral-medium-3-5". It was listed on Apr 30, 2026.
More from mistralai
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.