Noometry

Model comparison

GPT-3.5-turbo vs Mistral Small 3.2

Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 23.2 on the Noometry Index.

Last verified . 5 shared benchmarks.

GPT-3.5-turbo OpenAI

23.2

Rank #350 Confirmed

Mistral Small 3.2 Mistral AI

31.2

Rank #280 Confirmed

Summary

  • They share 5 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Mistral Small 3.2 in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where Mistral Small 3.2 leads 26.3 to 6.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.2% for GPT-3.5-turbo and 30.3% for Mistral Small 3.2.
  • Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.50 / $1.50 for GPT-3.5-turbo.
  • Mistral Small 3.2 accepts more context: 256K tokens versus 16K.
  • Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

GPT-3.5-turboMistral Small 3.2
ProviderOpenAIMistral AI
Noometry Index23.231.2
Released2023-03-012025-06-20
WeightsProprietaryOpen
Context window16K256K
Max output4K16K
Input $ / M tokens$0.50$0.0938
Output $ / M tokens$1.50$0.25
Results tracked446

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Category by category

Coding Not comparable

GPT-3.5-turbo: 23.9 (#331), Mistral Small 3.2: —

BenchmarkGPT-3.5-turboMistral Small 3.2
WeirdML3.5%—
BigCodeBench Instruct39.1%—
LMArena Coding1136—
BigCodeBench Complete50.6%—
HumanEval+70.7%—
MBPP+69.7%—

Agentic & Tool Use Not comparable

GPT-3.5-turbo: —, Mistral Small 3.2: —

BenchmarkGPT-3.5-turboMistral Small 3.2
METR Time Horizons21.5%—

Reasoning Mistral Small 3.2 leads

GPT-3.5-turbo: 13.8 (#332), Mistral Small 3.2: 18.1 (#287)

BenchmarkGPT-3.5-turboMistral Small 3.2
Chess Puzzles0%1%
Epoch Capabilities Index118.55131.74
Kagi LLM Benchmark—40.4%
LMArena Hard Prompts1108—
Mystery Game Puzzles3%—
DTBench48.5%—
LMCA9.7%—
Adversarial NLI58.1%—
BIG-Bench Hard61.6%—
CommonsenseQA 2.057%—
ForecastBench50.4—
WinoGrande81.6%—

Math Mistral Small 3.2 leads

GPT-3.5-turbo: 6.3 (#327), Mistral Small 3.2: 26.3 (#260)

BenchmarkGPT-3.5-turboMistral Small 3.2
OTIS Mock AIME 2024-20252.2%30.3%
FrontierMath (Tiers 1-3)0%—
LMArena Math1142—
MATH Level 515.9%—
GSM8K57.8%—

Knowledge Mistral Small 3.2 leads

GPT-3.5-turbo: 10.0 (#303), Mistral Small 3.2: 26.7 (#256)

BenchmarkGPT-3.5-turboMistral Small 3.2
GPQA Diamond28%49.1%
LMArena Expert1070—
ARC (AI2) Challenge87.4%—
BoolQ87%—
MMLU71.4%—
OpenBookQA86%—
TriviaQA85.8%—

Multilingual Not comparable

GPT-3.5-turbo: 31.5 (#258), Mistral Small 3.2: —

BenchmarkGPT-3.5-turboMistral Small 3.2
LMArena Non-English1108—
LMArena Chinese1075—
LMArena French1118—
LMArena German1090—
LMArena Japanese1043—
LMArena Korean1019—
LMArena Russian1123—
LMArena Spanish1121—

Instruction Following Not comparable

GPT-3.5-turbo: 57.9 (#262), Mistral Small 3.2: —

BenchmarkGPT-3.5-turboMistral Small 3.2
LMArena Instruction Following1119—

Long Context Not comparable

GPT-3.5-turbo: 34.0 (#254), Mistral Small 3.2: —

BenchmarkGPT-3.5-turboMistral Small 3.2
LMArena Longer Query1121—

Writing & Preference Mistral Small 3.2 leads

GPT-3.5-turbo: 25.3 (#305), Mistral Small 3.2: 45.0 (#224)

BenchmarkGPT-3.5-turboMistral Small 3.2
EQ-Bench Creative Writing4511255
LMArena Text1125—
LMArena Creative Writing1092—
LMArena Multi-Turn1117—

Frequently asked questions

Is GPT-3.5-turbo better than Mistral Small 3.2?

Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 23.2 on the Noometry Index.

Which is cheaper, GPT-3.5-turbo or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GPT-3.5-turbo lists at $0.50 and $1.50.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 16K.

How many benchmarks do GPT-3.5-turbo and Mistral Small 3.2 share?

5 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Mistral Small 3.2 has 6.

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