Noometry

Model comparison

GPT-4.1 nano vs Mixtral 8x22B

GPT-4.1 nano and Mixtral 8x22B score almost the same on the Noometry Index (27.9 vs 27.1), so choose on price, context window or the category you care about most.

Last verified . 24 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 24 benchmarks with published results for both. GPT-4.1 nano scores higher in 6 categories and Mixtral 8x22B in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Mixtral 8x22B leads 19.9 to 8.5.
  • The biggest single-benchmark swing is MATH Level 5: 70% for GPT-4.1 nano and 24.2% for Mixtral 8x22B.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoMixtral 8x22B
ProviderOpenAIMistral AI
Noometry Index27.927.1
Released2025-04-142024-04-17
WeightsProprietaryOpen
Context window1.05M64K
Max output33K64K
Input $ / M tokens$0.10$2
Output $ / M tokens$0.40$6
Results tracked3834

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Category by category

Coding Too close to call

GPT-4.1 nano: 24.1 (#330), Mixtral 8x22B: 24.2 (#329)

BenchmarkGPT-4.1 nanoMixtral 8x22B
WeirdML19%3.2%
LMArena Coding13061166
Aider Polyglot8.9%—
SciCode25.9%—
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use GPT-4.1 nano leads

GPT-4.1 nano: 26.5 (#104), Mixtral 8x22B: 23.1 (#127)

BenchmarkGPT-4.1 nanoMixtral 8x22B
Berkeley Function Calling Leaderboard33%—
Cybench—7.5%

Reasoning Mixtral 8x22B leads

GPT-4.1 nano: 8.5 (#349), Mixtral 8x22B: 19.9 (#248)

BenchmarkGPT-4.1 nanoMixtral 8x22B
LMArena Hard Prompts12861150
DTBench52.5%55.1%
Epoch Capabilities Index129.62122.03
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
CritPt0%—
LMCA5.5%—
ForecastBench—56.3

Math GPT-4.1 nano leads

GPT-4.1 nano: 26.9 (#252), Mixtral 8x22B: 22.9 (#275)

BenchmarkGPT-4.1 nanoMixtral 8x22B
Omni-MATH36.7%16.3%
LMArena Math12741184
MATH Level 570%24.2%
OTIS Mock AIME 2024-202528.9%—
FrontierMath (Feb 2025 set)1%—

Knowledge GPT-4.1 nano leads

GPT-4.1 nano: 21.8 (#273), Mixtral 8x22B: 15.1 (#293)

BenchmarkGPT-4.1 nanoMixtral 8x22B
GPQA Diamond48.9%34.1%
MMLU-Pro55%46%
GPQA (HELM)50.7%33.4%
LMArena Expert12721113
SimpleQA Verified6%—
MMLU—77.8%

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Mixtral 8x22B: —

BenchmarkGPT-4.1 nanoMixtral 8x22B
LMArena Vision1063—

Multilingual GPT-4.1 nano leads

GPT-4.1 nano: 41.6 (#205), Mixtral 8x22B: 32.8 (#255)

BenchmarkGPT-4.1 nanoMixtral 8x22B
LMArena Non-English12601128
LMArena Chinese12701116
LMArena German12881141
LMArena Japanese11981037
LMArena Russian12611158
LMArena French—1166
LMArena Korean—1057
LMArena Spanish—1151

Instruction Following GPT-4.1 nano leads

GPT-4.1 nano: 67.8 (#193), Mixtral 8x22B: 57.7 (#266)

BenchmarkGPT-4.1 nanoMixtral 8x22B
IFEval84.3%72.4%
LMArena Instruction Following12671147

Long Context Mixtral 8x22B leads

GPT-4.1 nano: 23.7 (#296), Mixtral 8x22B: 34.7 (#247)

BenchmarkGPT-4.1 nanoMixtral 8x22B
LMArena Longer Query12831144
Fiction.LiveBench25%—

Writing & Preference GPT-4.1 nano leads

GPT-4.1 nano: 40.5 (#243), Mixtral 8x22B: 36.9 (#262)

BenchmarkGPT-4.1 nanoMixtral 8x22B
LMArena Text12851162
LMArena Creative Writing12601141
WildBench81.2%71.1%
LMArena Multi-Turn12771130
EQ-Bench Creative Writing946—

Frequently asked questions

Is GPT-4.1 nano better than Mixtral 8x22B?

GPT-4.1 nano and Mixtral 8x22B score almost the same on the Noometry Index (27.9 vs 27.1), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-4.1 nano or Mixtral 8x22B?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is GPT-4.1 nano or Mixtral 8x22B better for coding?

They score almost the same on coding (24.1 vs 24.2); test both on your own repository before choosing.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 64K.

How many benchmarks do GPT-4.1 nano and Mixtral 8x22B share?

24 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Mixtral 8x22B has 34.

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