MDL
Mistral Small 3.2
Mistral
Verified against Artificial Analysis · Jul 13, 2026
Capability
47
percentile index
Price /M
$0.1 / $0.3
in / out
Context
—
Avg score
34.5
11 benchmarks
AA Intelligence
10.6
index
Speed
158 tok/s
TTFT 0.4s
Released
Jun 20, 2025
About
Mistral Small 3.2 is a open-weights model in the Mistral family from Mistral. Benchmarked on 11 evals, averaging 34.5.
Benchmark scores · 11
avg 34.5 — higher is betterThe research behind this model
all papers mentioning it →Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning▲ 9 on HF · Jun 2, 2026SDR: Set-Distance Rewards for Radiology Report Generation▲ 3 on HF · May 30, 2026MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-LoopMay 16, 2026Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific HeterogeneityMay 7, 2026EQUITRIAGE: A Fairness Audit of Gender Bias in LLM-Based Emergency Department TriageMay 5, 2026
Mentions matched by name in title/abstract — from the arXiv + HF daily corpus.
Performance & price
Output speed158 tok/s
Latency (TTFT)0.4s
Price in / out$0.1 / $0.3 per 1M
Blended price$0.15 / 1M
Coding index12.5
Math index27.0
Median across API providers, via Artificial Analysis. Blended = 3:1 input:output. For reasoning models, latency includes thinking time. Methodology →
History
full ledger →Capability over time
Append-only ledger — every observed change to this model's numbers.
API providers
Artificial Analysis$0.3/M