Today's price · per 1M tokens
Input
$1.50
per 1M tokens
Output
$7.50
per 1M tokens
Blended
$3.00
blended $/1M — 3:1 weighted input:output
Price receipt
We read Mistral's own pricing page on and found Mistral Medium 3.5 ↗ listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is e04eb8c2f5.
Overview
Mistral's agentic mid-tier — ~77.6% SWE-bench Verified with strong tool use, now Mistral's recommended coding model. $1.50/$7.50 per 1M tokens.
Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterWe hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.
- AA Intelligence Index: 14.2 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA-Omniscience Index: -38.7 (−100–100)
- GDPval-AA v2: 768.9 ELO (Real-world work tasks, human baseline = 1000)
- LMSYS Chatbot Arena: 1426.4 ELO (Human preference)
- Ranks #132 of 194 comparably-measured models by percentile score, across 4 independent measurements
- Ranks #173 of 194 comparably-tested models by normalized performance per dollar
Source: Artificial Analysis, LMSYS Chatbot Arena (UC Berkeley) · updated · See full rankings →
Specifications
- Provider
- Mistral
- Context window
- 128K tokens
- Modality
- text
- Parameters
- Proprietary
- Open source
- No — proprietary
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Mistral's own page