Model comparison

GPT-5.4 mini vs Mixtral 8x7B

GPT-5.4 mini is the stronger model overall, scoring 45.0 to 27.1 on the Noometry Index. Mixtral 8x7B costs 2.4× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

GPT-5.4 mini OpenAI

45.0

Rank #76 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-5.4 mini scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5.4 mini leads 51.5 to 11.0.
  • The biggest single-benchmark swing is GPQA Diamond: 86.9% for GPT-5.4 mini and 30.6% for Mixtral 8x7B.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
  • GPT-5.4 mini accepts more context: 400K tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 mini and Mixtral 8x7B specifications
GPT-5.4 miniMixtral 8x7B
ProviderOpenAIMistral AI
Noometry Index45.027.1
Released2026-03-172023-12-11
WeightsProprietaryOpen
Context window400K32K
Max output128K32K
Input $ / M tokens$0.75$0.70
Output $ / M tokens$4.50$0.70
Results tracked4638

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

Category by category

Coding GPT-5.4 mini leads

GPT-5.4 mini: 45.2 (#72), Mixtral 8x7B: 32.8 (#269)

Coding benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
LMArena Coding14381126
FrontierCode27%—
LMArena WebDev1397—
SciCode49.9%—
WeirdML60.3%—
ALE-Bench1,189—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

GPT-5.4 mini: 29.9 (#81), Mixtral 8x7B: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
DeepResearch Bench36.3%—

Reasoning GPT-5.4 mini leads

GPT-5.4 mini: 30.4 (#85), Mixtral 8x7B: 18.2 (#285)

Reasoning benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
LMArena Hard Prompts14241115
DTBench80%49.6%
Epoch Capabilities Index148.84118.47
ForecastBench5756.3
ARC-AGI-218.9%—
Kagi LLM Benchmark37.9%—
NYT Connections (extended)61.8%—
ARC-AGI-163.7%—
CritPt10%—
Chess Puzzles24%—
Thematic Generalization61.7%—
Mystery Game Puzzles11%—
LMCA40.8%—
Adversarial NLI—55.2%
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math GPT-5.4 mini leads

GPT-5.4 mini: 45.5 (#75), Mixtral 8x7B: 18.8 (#289)

Math benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
LMArena Math14191147
FrontierMath (Tiers 1-3)51.2%—
FrontierMath Tier 49.8%—
OTIS Mock AIME 2024-202588.9%—
ProofBench21%—
Omni-MATH—10.5%
MATH Level 5—10%
FrontierMath (Feb 2025 set)28.3%—
FrontierMath Tier 4 (v1)2.1%—
GSM8K—74.4%

Knowledge GPT-5.4 mini leads

GPT-5.4 mini: 51.5 (#67), Mixtral 8x7B: 11.0 (#301)

Knowledge benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
GPQA Diamond86.9%30.6%
LMArena Expert14351088
SimpleQA Verified29.4%—
MMLU-Pro—33.5%
Vectara Hallucination Rate5.5%—
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

GPT-5.4 mini: 39.7 (#56), Mixtral 8x7B: —

Multimodal benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
LMArena Vision1245—

Multilingual GPT-5.4 mini leads

GPT-5.4 mini: 51.9 (#96), Mixtral 8x7B: 29.6 (#266)

Multilingual benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
LMArena Non-English14051077
LMArena Chinese14461055
LMArena French14401166
LMArena German14091114
LMArena Japanese1374931
LMArena Korean1368968
LMArena Russian14171090
LMArena Spanish14051111

Instruction Following GPT-5.4 mini leads

GPT-5.4 mini: 74.1 (#102), Mixtral 8x7B: 51.0 (#297)

Instruction Following benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
LMArena Instruction Following14051109
IFEval—57.5%

Long Context GPT-5.4 mini leads

GPT-5.4 mini: 43.0 (#112), Mixtral 8x7B: 33.4 (#260)

Long Context benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
LMArena Longer Query14071103

Writing & Preference GPT-5.4 mini leads

GPT-5.4 mini: 64.0 (#58), Mixtral 8x7B: 34.2 (#270)

Writing & Preference benchmarks
BenchmarkGPT-5.4 miniMixtral 8x7B
LMArena Text14121132
LMArena Creative Writing13701109
LMArena Multi-Turn14291115
EQ-Bench Creative Writing1665—
WildBench—67.3%

Frequently asked questions

Is GPT-5.4 mini better than Mixtral 8x7B?

GPT-5.4 mini is the stronger model overall, scoring 45.0 to 27.1 on the Noometry Index. Mixtral 8x7B costs 2.4× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.

Which is cheaper, GPT-5.4 mini or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.

Is GPT-5.4 mini or Mixtral 8x7B better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

GPT-5.4 mini does, with 400K tokens against 32K.

How many benchmarks do GPT-5.4 mini and Mixtral 8x7B share?

21 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Mixtral 8x7B has 38.

Related comparisons

Go deeper