Noometry

Model comparison

GPT-5.3 Chat vs Ministral 8B

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 27.8 on the Noometry Index. Ministral 8B costs 48× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Ministral 8B Mistral AI

27.8

Rank #321 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Ministral 8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5.3 Chat leads 38.2 to 12.5.
  • Ministral 8B is cheaper at $0.10 / $0.10 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Ministral 8B has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatMinistral 8B
ProviderOpenAIMistral AI
Noometry Index42.127.8
Released2026-03-032024-10-01
WeightsProprietaryOpen
Context window128K128K
Max output16K128K
Input $ / M tokens$1.75$0.10
Output $ / M tokens$14$0.10
Results tracked1817

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 40.8 (#124), Ministral 8B: 34.4 (#226)

BenchmarkGPT-5.3 ChatMinistral 8B
LMArena Coding14081202

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Ministral 8B: 16.2 (#140)

BenchmarkGPT-5.3 ChatMinistral 8B
Berkeley Function Calling Leaderboard—11.1%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 27.3 (#105), Ministral 8B: 17.7 (#279)

BenchmarkGPT-5.3 ChatMinistral 8B
LMArena Hard Prompts13991191
DTBench—45.7%

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 35.4 (#146), Ministral 8B: 23.7 (#262)

BenchmarkGPT-5.3 ChatMinistral 8B
LMArena Math13891188
MATH Level 5—14.9%

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#137), Ministral 8B: 12.5 (#292)

BenchmarkGPT-5.3 ChatMinistral 8B
LMArena Expert13971170
GPQA Diamond—27.1%
Vectara Hallucination Rate—7.4%

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.5 (#119), Ministral 8B: 35.3 (#242)

BenchmarkGPT-5.3 ChatMinistral 8B
LMArena Non-English13831165
LMArena Chinese14331193
LMArena Russian14001195
LMArena French1398—
LMArena German1384—
LMArena Japanese1351—
LMArena Korean1347—
LMArena Spanish1371—

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 73.0 (#124), Ministral 8B: 60.7 (#245)

BenchmarkGPT-5.3 ChatMinistral 8B
LMArena Instruction Following13781161

Long Context GPT-5.3 Chat leads

GPT-5.3 Chat: 42.6 (#115), Ministral 8B: 36.7 (#222)

BenchmarkGPT-5.3 ChatMinistral 8B
LMArena Longer Query13961212

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.3 (#65), Ministral 8B: 39.8 (#241)

BenchmarkGPT-5.3 ChatMinistral 8B
LMArena Text13891191
LMArena Creative Writing13561175
LMArena Multi-Turn14131166
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than Ministral 8B?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 27.8 on the Noometry Index. Ministral 8B costs 48× 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 Ministral 8B?

Ministral 8B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Ministral 8B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do GPT-5.3 Chat and Ministral 8B share?

12 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Ministral 8B has 17.

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