Mistral Small 3.2: Benchmarks, Pricing & Comparison

No published category-wide ranking is available for this model.

Entries 1-12 of 27. Page 1 of 3.

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

WildBench (Show measurement, test conditions, and source)

Source value: 65.33
Score: 65.33
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:0
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card comparison table; exact judge/config not stated

Source Mistral Small 3.2 model card

Arena Hard (Show measurement, test conditions, and source)

Source value: 43.1
Score: 43.1
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:1
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card comparison table; exact judge/config not stated

Source Mistral Small 3.2 model card

IF (Show measurement, test conditions, and source)

Source value: 84.78
Score: 84.78
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:2
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card comparison table; exact metric setup not stated

Source Mistral Small 3.2 model card

Infinite Generations (Show measurement, test conditions, and source)

Source value: 1.29
Score: 1.29
Metric: percent
Unit: %
Direction: Lower is better
Comparison cohort: research:mistral-small-3.2:3
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card table; lower is better

Source Mistral Small 3.2 model card

MMLU (Show measurement, test conditions, and source)

Source value: 80.5
Score: 80.5
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:4
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card benchmark table

Source Mistral Small 3.2 model card

MMLU Pro (Show measurement, test conditions, and source)

Source value: 69.06
Score: 69.06
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:5
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card benchmark table

Source Mistral Small 3.2 model card

MATH (Show measurement, test conditions, and source)

Source value: 69.42
Score: 69.42
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:6
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card benchmark table

Source Mistral Small 3.2 model card

GPQA Main (Show measurement, test conditions, and source)

Source value: 44.22
Score: 44.22
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:7
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card benchmark table

Source Mistral Small 3.2 model card

GPQA Diamond (Show measurement, test conditions, and source)

Source value: 46.13
Score: 46.13
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:8
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card benchmark table

Source Mistral Small 3.2 model card

MBPP Plus (Show measurement, test conditions, and source)

Source value: 78.33
Score: 78.33
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:9
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card benchmark table

Source Mistral Small 3.2 model card

HumanEval Plus (Show measurement, test conditions, and source)

Source value: 92.9
Score: 92.9
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:10
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card benchmark table

Source Mistral Small 3.2 model card

SimpleQA (Show measurement, test conditions, and source)

Source value: 12.1
Score: 12.1
Metric: percent
Unit: %
Direction: Higher is better
Comparison cohort: research:mistral-small-3.2:11
Source type: vendor-reported
Evaluator: Mistral Small 3.2 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Instruct table; Model-card benchmark table

Source Mistral Small 3.2 model card

Our model tests

Community tests you can inspect

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

Mistral Small 3.2

Not tested yet

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

Profile

Specifications and access

Published information about this model. Existing estimates are explicitly labeled.

Weights: Open weightsSource
Access: APISource
Parameters: 24BSource
Context window: 131,072 tokensSource

Additional source observations

Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.

License: Apache-2.0Source
Release: 2025-06-20Source
Parameters: 24 BSource
Context window: 131,072 tokensSource
Input: Text, ImageSource
Output: TextSource
API model ID: mistral-small-2506Source
Tool calling: YesSource
Source status: deprecatedSource

Pricing

Published prices

Prices apply to the stated unit. Resolution, output length, and provider can change the cost.

API input: $0.075 per 1M tokensSource
API output: $0.2 per 1M tokensSource

Cost example

100 API requests

$0.0175

100 requests with 1,000 input and 500 output tokens each calculate to $0.0175. Input accounts for $0.0075; output accounts for $0.01.

Input price: $0.075 / 1M tokensBase tier for each request
Output price: $0.2 / 1M tokensBase tier for each request

The calculation uses documented token prices and no cache discount. It excludes extra tools, tax, reasoning tokens, and further hidden output tokens.

Open source

Head-to-head comparisons

Compare this model

Each matchup compares this model with exactly one other model from the same category.

There are no published direct comparisons for this model yet.

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Evidence

Sources and data date

Every statement links to its underlying documentation or leaderboard.

Speed: Mistral. Output speed after the first streaming chunk, not total response time. Classified as deprecated by Artificial Analysis. Artificial Analysis maintains only the default 10K-input workload there. Retrieved September 8, 2026.
Artificial Analysis Methodology
Price: Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.
Pricing
Input: Documented modalities. Retrieved September 8, 2026.
Model documentation
Output: Documented modalities. Retrieved September 8, 2026.
Model documentation

Research date September 8, 2026. 3 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.

Open evidence questions and research notes (original wording)

Not found in the inspected sources

knowledge-cutoff. No exact cutoff in checked docs/card.

Not found in the inspected sources

training-tokens. No token count in checked sources.

Not found in the inspected sources

max-output-tokens. No model-specific maximum output found.

Model metadata (retrieved September 8, 2026)Source
Context window dataSource
API pricingSource
Artificial Analysis (retrieved September 8, 2026)Source
Model metadata (retrieved September 8, 2026)Source
Speed measurement methodologySource