Model comparison

GPT-3.5-turbo vs Mistral Small 3

Mistral Small 3 is the stronger model overall, scoring 31.2 to 23.2 on the Noometry Index.

Last verified . 23 shared benchmarks.

GPT-3.5-turbo OpenAI

23.2

Rank #350 Confirmed

Mistral Small 3 Mistral AI

31.2

Rank #278 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Mistral Small 3 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Mistral Small 3 leads 25.1 to 10.0.
  • The biggest single-benchmark swing is GPQA Diamond: 28% for GPT-3.5-turbo and 47.3% for Mistral Small 3.
  • Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.50 / $1.50 for GPT-3.5-turbo.
  • Mistral Small 3 accepts more context: 33K tokens versus 16K.
  • Mistral Small 3 has downloadable open weights; the other is API-only.

Side by side

GPT-3.5-turbo and Mistral Small 3 specifications
GPT-3.5-turboMistral Small 3
ProviderOpenAIMistral AI
Noometry Index23.231.2
Released2023-03-012025-01-30
WeightsProprietaryOpen
Context window16K33K
Max output4K16K
Input $ / M tokens$0.50$0.05
Output $ / M tokens$1.50$0.08
Results tracked4424

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Category by category

Coding Mistral Small 3 leads

GPT-3.5-turbo: 23.9 (#331), Mistral Small 3: 36.5 (#207)

Coding benchmarks
BenchmarkGPT-3.5-turboMistral Small 3
BigCodeBench Instruct39.1%45.3%
LMArena Coding11361246
BigCodeBench Complete50.6%50.4%
WeirdML3.5%—
HumanEval+70.7%—
MBPP+69.7%—

Agentic & Tool Use Not comparable

GPT-3.5-turbo: —, Mistral Small 3: —

Agentic & Tool Use benchmarks
BenchmarkGPT-3.5-turboMistral Small 3
METR Time Horizons21.5%—

Reasoning Mistral Small 3 leads

GPT-3.5-turbo: 13.8 (#332), Mistral Small 3: 18.9 (#273)

Reasoning benchmarks
BenchmarkGPT-3.5-turboMistral Small 3
Chess Puzzles0%0%
LMArena Hard Prompts11081233
Epoch Capabilities Index118.55127.07
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 leads

GPT-3.5-turbo: 6.3 (#327), Mistral Small 3: 16.3 (#295)

Math benchmarks
BenchmarkGPT-3.5-turboMistral Small 3
OTIS Mock AIME 2024-20252.2%6.7%
LMArena Math11421240
FrontierMath (Tiers 1-3)0%—
MATH Level 515.9%—
GSM8K57.8%—

Knowledge Mistral Small 3 leads

GPT-3.5-turbo: 10.0 (#303), Mistral Small 3: 25.1 (#263)

Knowledge benchmarks
BenchmarkGPT-3.5-turboMistral Small 3
GPQA Diamond28%47.3%
LMArena Expert10701202
Confabulations—25.2%
ARC (AI2) Challenge87.4%—
BoolQ87%—
MMLU71.4%—
OpenBookQA86%—
TriviaQA85.8%—

Multilingual Mistral Small 3 leads

GPT-3.5-turbo: 31.5 (#258), Mistral Small 3: 37.3 (#236)

Multilingual benchmarks
BenchmarkGPT-3.5-turboMistral Small 3
LMArena Non-English11081198
LMArena Chinese10751204
LMArena French11181203
LMArena German10901211
LMArena Japanese10431111
LMArena Korean10191188
LMArena Russian11231216
LMArena Spanish1121—

Instruction Following Mistral Small 3 leads

GPT-3.5-turbo: 57.9 (#262), Mistral Small 3: 63.7 (#229)

Instruction Following benchmarks
BenchmarkGPT-3.5-turboMistral Small 3
LMArena Instruction Following11191214

Long Context Mistral Small 3 leads

GPT-3.5-turbo: 34.0 (#254), Mistral Small 3: 37.8 (#211)

Long Context benchmarks
BenchmarkGPT-3.5-turboMistral Small 3
LMArena Longer Query11211246

Writing & Preference Mistral Small 3 leads

GPT-3.5-turbo: 25.3 (#305), Mistral Small 3: 32.2 (#280)

Writing & Preference benchmarks
BenchmarkGPT-3.5-turboMistral Small 3
LMArena Text11251234
LMArena Creative Writing10921195
EQ-Bench Creative Writing451707
LMArena Multi-Turn11171217

Frequently asked questions

Is GPT-3.5-turbo better than Mistral Small 3?

Mistral Small 3 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?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GPT-3.5-turbo lists at $0.50 and $1.50.

Is GPT-3.5-turbo or Mistral Small 3 better for coding?

Mistral Small 3 scores higher on coding benchmarks: 36.5 versus 23.9 in the Noometry coding category.

Which has the bigger context window?

Mistral Small 3 does, with 33K tokens against 16K.

How many benchmarks do GPT-3.5-turbo and Mistral Small 3 share?

23 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Mistral Small 3 has 24.

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