Model comparison

Mistral Small 3.1 vs Sonar

Sonar is the stronger model overall, scoring 38.5 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 2.5× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Sonar Perplexity

38.5

Rank #187 Confirmed

Summary

  • The widest gap is in math, where Sonar leads 33.7 to 14.7.
  • Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $1 / $1 for Sonar.
  • Mistral Small 3.1 has downloadable open weights; the other is API-only.

Side by side

Mistral Small 3.1 and Sonar specifications
Mistral Small 3.1Sonar
ProviderMistral AIPerplexity
Noometry Index31.738.5
Released2025-03-172024-01-01
WeightsOpenProprietary
Context window128K128K
Max output102K4K
Input $ / M tokens$0.35$1
Output $ / M tokens$0.56$1
Results tracked287

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Category by category

Coding Mistral Small 3.1 leads

Mistral Small 3.1: 38.3 (#179), Sonar: 35.7 (#221)

Coding benchmarks
BenchmarkMistral Small 3.1Sonar
LiveBench Coding—35.1%
LMArena Coding1309—

Reasoning Sonar leads

Mistral Small 3.1: 19.7 (#254), Sonar: 21.1 (#227)

Reasoning benchmarks
BenchmarkMistral Small 3.1Sonar
Chess Puzzles1%—
LiveBench Reasoning—46.3%
LMArena Hard Prompts1278—
LiveBench Data Analysis—37.9%
Epoch Capabilities Index127.48—
LiveBench—46.9%

Math Sonar leads

Mistral Small 3.1: 14.7 (#301), Sonar: 33.7 (#200)

Math benchmarks
BenchmarkMistral Small 3.1Sonar
OTIS Mock AIME 2024-20253.9%—
Omni-MATH24.8%—
LiveBench Math—41.6%
LMArena Math1262—

Knowledge Not comparable

Mistral Small 3.1: 22.6 (#271), Sonar: —

Knowledge benchmarks
BenchmarkMistral Small 3.1Sonar
GPQA Diamond41.9%—
MMLU-Pro61%—
GPQA (HELM)39.2%—
LMArena Expert1257—

Multimodal Not comparable

Mistral Small 3.1: 33.2 (#99), Sonar: —

Multimodal benchmarks
BenchmarkMistral Small 3.1Sonar
LMArena Vision1136—

Multilingual Not comparable

Mistral Small 3.1: 41.2 (#209), Sonar: —

Multilingual benchmarks
BenchmarkMistral Small 3.1Sonar
LMArena Non-English1255—
LMArena Chinese1253—
LMArena French1273—
LMArena German1266—
LMArena Japanese1208—
LMArena Korean1206—
LMArena Russian1263—
LMArena Spanish1283—

Instruction Following Sonar leads

Mistral Small 3.1: 63.6 (#230), Sonar: 71.4 (#150)

Instruction Following benchmarks
BenchmarkMistral Small 3.1Sonar
LiveBench Instruction Following—76.2%
IFEval75%—
LMArena Instruction Following1264—

Long Context Not comparable

Mistral Small 3.1: 39.5 (#178), Sonar: —

Long Context benchmarks
BenchmarkMistral Small 3.1Sonar
LMArena Longer Query1299—

Writing & Preference Sonar leads

Mistral Small 3.1: 37.0 (#259), Sonar: 52.6 (#167)

Writing & Preference benchmarks
BenchmarkMistral Small 3.1Sonar
LMArena Text1277—
LMArena Creative Writing1253—
EQ-Bench Creative Writing761—
WildBench78.8%—
LMArena Multi-Turn1270—
LiveBench Language—44.1%

Frequently asked questions

Is Mistral Small 3.1 better than Sonar?

Sonar is the stronger model overall, scoring 38.5 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 2.5× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.

Which is cheaper, Mistral Small 3.1 or Sonar?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Sonar lists at $1 and $1.

Is Mistral Small 3.1 or Sonar better for coding?

Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 35.7 in the Noometry coding category.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do Mistral Small 3.1 and Sonar share?

0 benchmarks have published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and Sonar has 7.

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