Noometry

Model comparison

GPT-5.4 nano vs Mixtral 8x22B

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 27.1 on the Noometry Index.

Last verified . 22 shared benchmarks.

GPT-5.4 nano OpenAI

41.9

Rank #125 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GPT-5.4 nano scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5.4 nano leads 41.9 to 15.1.
  • The biggest single-benchmark swing is WeirdML: 49.2% for GPT-5.4 nano and 3.2% for Mixtral 8x22B.
  • GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • GPT-5.4 nano accepts more context: 400K tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 nanoMixtral 8x22B
ProviderOpenAIMistral AI
Noometry Index41.927.1
Released2026-03-172024-04-17
WeightsProprietaryOpen
Context window400K64K
Max output128K64K
Input $ / M tokens$0.20$2
Output $ / M tokens$1.25$6
Results tracked4034

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Category by category

Coding GPT-5.4 nano leads

GPT-5.4 nano: 43.6 (#84), Mixtral 8x22B: 24.2 (#329)

BenchmarkGPT-5.4 nanoMixtral 8x22B
WeirdML49.2%3.2%
LMArena Coding14051166
SciCode46.9%—
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench1,005—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

GPT-5.4 nano: —, Mixtral 8x22B: 23.1 (#127)

BenchmarkGPT-5.4 nanoMixtral 8x22B
Cybench—7.5%

Reasoning GPT-5.4 nano leads

GPT-5.4 nano: 23.7 (#173), Mixtral 8x22B: 19.9 (#248)

BenchmarkGPT-5.4 nanoMixtral 8x22B
LMArena Hard Prompts13811150
DTBench80.3%55.1%
Epoch Capabilities Index145.81122.03
ForecastBench57.356.3
ARC-AGI-25.7%—
Kagi LLM Benchmark39.7%—
ARC-AGI-151.5%—
CritPt9.3%—
Chess Puzzles30%—
Mystery Game Puzzles9%—
LMCA36.9%—

Math GPT-5.4 nano leads

GPT-5.4 nano: 40.9 (#88), Mixtral 8x22B: 22.9 (#275)

BenchmarkGPT-5.4 nanoMixtral 8x22B
LMArena Math14061184
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 412.2%—
OTIS Mock AIME 2024-202587.8%—
ProofBench5%—
Omni-MATH—16.3%
MATH Level 5—24.2%
FrontierMath (Feb 2025 set)25.9%—
FrontierMath Tier 4 (v1)6.3%—

Knowledge GPT-5.4 nano leads

GPT-5.4 nano: 41.9 (#103), Mixtral 8x22B: 15.1 (#293)

BenchmarkGPT-5.4 nanoMixtral 8x22B
GPQA Diamond78.5%34.1%
LMArena Expert13961113
SimpleQA Verified11.7%—
MMLU-Pro—46%
Vectara Hallucination Rate3.1%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

GPT-5.4 nano: 36.7 (#78), Mixtral 8x22B: —

BenchmarkGPT-5.4 nanoMixtral 8x22B
LMArena Vision1196—

Multilingual GPT-5.4 nano leads

GPT-5.4 nano: 48.6 (#140), Mixtral 8x22B: 32.8 (#255)

BenchmarkGPT-5.4 nanoMixtral 8x22B
LMArena Non-English13591128
LMArena Chinese13921116
LMArena French13961166
LMArena German13671141
LMArena Japanese13431037
LMArena Korean13201057
LMArena Russian13631158
LMArena Spanish13711151

Instruction Following GPT-5.4 nano leads

GPT-5.4 nano: 71.9 (#144), Mixtral 8x22B: 57.7 (#266)

BenchmarkGPT-5.4 nanoMixtral 8x22B
LMArena Instruction Following13621147
IFEval—72.4%

Long Context GPT-5.4 nano leads

GPT-5.4 nano: 41.6 (#137), Mixtral 8x22B: 34.7 (#247)

BenchmarkGPT-5.4 nanoMixtral 8x22B
LMArena Longer Query13661144

Writing & Preference GPT-5.4 nano leads

GPT-5.4 nano: 55.7 (#142), Mixtral 8x22B: 36.9 (#262)

BenchmarkGPT-5.4 nanoMixtral 8x22B
LMArena Text13721162
LMArena Creative Writing13141141
LMArena Multi-Turn13821130
WildBench—71.1%

Frequently asked questions

Is GPT-5.4 nano better than Mixtral 8x22B?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 27.1 on the Noometry Index.

Which is cheaper, GPT-5.4 nano or Mixtral 8x22B?

GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is GPT-5.4 nano or Mixtral 8x22B better for coding?

GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

GPT-5.4 nano does, with 400K tokens against 64K.

How many benchmarks do GPT-5.4 nano and Mixtral 8x22B share?

22 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Mixtral 8x22B has 34.

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