Noometry

Model comparison

GPT-5.3 Chat vs Mistral Small 3

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 31.2 on the Noometry Index. Mistral Small 3 costs 84× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Mistral Small 3 Mistral AI

31.2

Rank #278 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Mistral Small 3 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 32.2.
  • Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • GPT-5.3 Chat accepts more context: 128K tokens versus 33K.
  • Mistral Small 3 has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatMistral Small 3
ProviderOpenAIMistral AI
Noometry Index42.831.2
Released2026-03-032025-01-30
WeightsProprietaryOpen
Context window128K33K
Max output16K16K
Input $ / M tokens$1.75$0.05
Output $ / M tokens$14$0.08
Results tracked1824

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 41.4 (#124), Mistral Small 3: 36.5 (#207)

BenchmarkGPT-5.3 ChatMistral Small 3
LMArena Coding14081246
BigCodeBench Instruct—45.3%
BigCodeBench Complete—50.4%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), Mistral Small 3: 18.9 (#273)

BenchmarkGPT-5.3 ChatMistral Small 3
LMArena Hard Prompts13991233
Chess Puzzles—0%
Epoch Capabilities Index—127.07

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#142), Mistral Small 3: 16.3 (#295)

BenchmarkGPT-5.3 ChatMistral Small 3
LMArena Math13891240
OTIS Mock AIME 2024-2025—6.7%

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.8 (#140), Mistral Small 3: 25.1 (#263)

BenchmarkGPT-5.3 ChatMistral Small 3
LMArena Expert13971202
GPQA Diamond—47.3%
Confabulations—25.2%

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.3 (#124), Mistral Small 3: 37.3 (#236)

BenchmarkGPT-5.3 ChatMistral Small 3
LMArena Non-English13821198
LMArena Chinese14321204
LMArena French13971203
LMArena German13841211
LMArena Japanese13521111
LMArena Korean13461188
LMArena Russian14001216
LMArena Spanish1371—

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 72.8 (#129), Mistral Small 3: 63.7 (#229)

BenchmarkGPT-5.3 ChatMistral Small 3
LMArena Instruction Following13781214

Long Context GPT-5.3 Chat leads

GPT-5.3 Chat: 42.6 (#120), Mistral Small 3: 37.8 (#211)

BenchmarkGPT-5.3 ChatMistral Small 3
LMArena Longer Query13961246

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), Mistral Small 3: 32.2 (#280)

BenchmarkGPT-5.3 ChatMistral Small 3
LMArena Text13891234
LMArena Creative Writing13551195
EQ-Bench Creative Writing1690707
LMArena Multi-Turn14121217

Frequently asked questions

Is GPT-5.3 Chat better than Mistral Small 3?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 31.2 on the Noometry Index. Mistral Small 3 costs 84× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Which is cheaper, GPT-5.3 Chat 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-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Mistral Small 3 better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 36.5 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Chat does, with 128K tokens against 33K.

How many benchmarks do GPT-5.3 Chat and Mistral Small 3 share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Mistral Small 3 has 24.

Related comparisons

Go deeper