Noometry

Model comparison

GPT-5.3 Chat vs Mistral Large 3

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 38.6 on the Noometry Index. Mistral Large 3 costs 13× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Mistral Large 3 Mistral AI

38.6

Rank #172 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-5.3 Chat scores higher in 4 categories and Mistral Large 3 in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5.3 Chat leads 27.3 to 14.6.
  • Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Mistral Large 3 accepts more context: 262K tokens versus 128K.
  • Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatMistral Large 3
ProviderOpenAIMistral AI
Noometry Index42.138.6
Released2026-03-032025-12-02
WeightsProprietaryOpen
Context window128K262K
Max output16K8K
Input $ / M tokens$1.75$0.25
Output $ / M tokens$14$0.75
Results tracked1824

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 40.8 (#124), Mistral Large 3: 34.1 (#230)

BenchmarkGPT-5.3 ChatMistral Large 3
LMArena Coding14081447
LMArena WebDev—1230

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 27.3 (#105), Mistral Large 3: 14.6 (#314)

BenchmarkGPT-5.3 ChatMistral Large 3
LMArena Hard Prompts13991429
Kagi LLM Benchmark—50.9%
NYT Connections (extended)—7.5%
Thematic Generalization—23%

Math Too close to call

GPT-5.3 Chat: 35.4 (#146), Mistral Large 3: 36.0 (#131)

BenchmarkGPT-5.3 ChatMistral Large 3
LMArena Math13891415

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#137), Mistral Large 3: 35.5 (#173)

BenchmarkGPT-5.3 ChatMistral Large 3
LMArena Expert13971421
Vectara Hallucination Rate—14.5%

Multimodal Not comparable

GPT-5.3 Chat: —, Mistral Large 3: 37.6 (#65)

BenchmarkGPT-5.3 ChatMistral Large 3
LMArena Vision—1222

Multilingual Mistral Large 3 leads

GPT-5.3 Chat: 50.5 (#119), Mistral Large 3: 52.6 (#79)

BenchmarkGPT-5.3 ChatMistral Large 3
LMArena Non-English13831412
LMArena Chinese14331448
LMArena French13981456
LMArena German13841438
LMArena Japanese13511399
LMArena Korean13471384
LMArena Russian14001412
LMArena Spanish13711437

Instruction Following Mistral Large 3 leads

GPT-5.3 Chat: 73.0 (#124), Mistral Large 3: 74.1 (#104)

BenchmarkGPT-5.3 ChatMistral Large 3
LMArena Instruction Following13781402

Long Context Too close to call

GPT-5.3 Chat: 42.6 (#115), Mistral Large 3: 43.1 (#102)

BenchmarkGPT-5.3 ChatMistral Large 3
LMArena Longer Query13961413

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.3 (#65), Mistral Large 3: 60.2 (#100)

BenchmarkGPT-5.3 ChatMistral Large 3
LMArena Text13891427
LMArena Creative Writing13561385
EQ-Bench Creative Writing16901412
LMArena Multi-Turn14131429

Frequently asked questions

Is GPT-5.3 Chat better than Mistral Large 3?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 38.6 on the Noometry Index. Mistral Large 3 costs 13× 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 Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

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

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 128K.

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

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

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