Today's price · per 1M tokens
Input
$0.150
per 1M tokens
Output
$0.600
per 1M tokens
Blended
$0.262
blended $/1M — 3:1 weighted input:output
Cached input
$0.015
10% of input — prompt caching
Price receipt
We read Mistral's own pricing page on and found Mistral Small 4 ↗ 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 b146735b1c.
Overview
Compact, affordable model. $0.15/$0.60 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: 4.3 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA-Omniscience Index: -31 (−100–100)
- GDPval-AA v2: 369.7 ELO (Real-world work tasks, human baseline = 1000)
- Ranks #167 of 194 comparably-measured models by percentile score, across 3 independent measurements
- Ranks #53 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