Noometry

Model comparison

Claude 3 Sonnet vs GPT-4.1 nano

Claude 3 Sonnet is the stronger model overall, scoring 28.8 to 27.7 on the Noometry Index.

Last verified . 21 shared benchmarks.

Claude 3 Sonnet Anthropic

28.8

Rank #311 Confirmed

GPT-4.1 nano OpenAI

27.7

Rank #322 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude 3 Sonnet scores higher in 4 categories and GPT-4.1 nano in 5 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-4.1 nano leads 25.5 to 10.0.
  • The biggest single-benchmark swing is MATH Level 5: 18.2% for Claude 3 Sonnet and 70% for GPT-4.1 nano.

Side by side

Claude 3 SonnetGPT-4.1 nano
ProviderAnthropicOpenAI
Noometry Index28.827.7
Released2024-02-292025-04-14
WeightsProprietaryProprietary
Context window—1.05M
Max output—33K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked3038

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Category by category

Coding Claude 3 Sonnet leads

Claude 3 Sonnet: 29.2 (#296), GPT-4.1 nano: 23.8 (#325)

BenchmarkClaude 3 SonnetGPT-4.1 nano
WeirdML10.2%19%
LMArena Coding12231306
Aider Polyglot—8.9%
SciCode—25.9%
BigCodeBench Instruct42.7%—
BigCodeBench Complete53.8%—
HumanEval+64%—
MBPP+69.3%—

Agentic & Tool Use Not comparable

Claude 3 Sonnet: —, GPT-4.1 nano: 26.3 (#98)

BenchmarkClaude 3 SonnetGPT-4.1 nano
Berkeley Function Calling Leaderboard—33%

Reasoning Claude 3 Sonnet leads

Claude 3 Sonnet: 19.7 (#232), GPT-4.1 nano: 8.6 (#344)

BenchmarkClaude 3 SonnetGPT-4.1 nano
LMArena Hard Prompts11971286
DTBench53.6%52.5%
Epoch Capabilities Index120.69129.62
ARC-AGI-2—0%
Kagi LLM Benchmark—33.3%
ARC-AGI-1—0%
CritPt—0%
LMCA—5.5%
WinoGrande75.1%—

Math GPT-4.1 nano leads

Claude 3 Sonnet: 10.0 (#305), GPT-4.1 nano: 25.5 (#246)

BenchmarkClaude 3 SonnetGPT-4.1 nano
OTIS Mock AIME 2024-20252.5%28.9%
LMArena Math12131274
MATH Level 518.2%70%
Omni-MATH—36.7%
FrontierMath (Feb 2025 set)—1%

Knowledge Too close to call

Claude 3 Sonnet: 21.1 (#271), GPT-4.1 nano: 21.8 (#268)

BenchmarkClaude 3 SonnetGPT-4.1 nano
GPQA Diamond40.6%48.9%
LMArena Expert11731272
SimpleQA Verified—6%
MMLU-Pro—55%
GPQA (HELM)—50.7%
MMLU75.9%—

Multimodal GPT-4.1 nano leads

Claude 3 Sonnet: 24.7 (#120), GPT-4.1 nano: 28.6 (#108)

BenchmarkClaude 3 SonnetGPT-4.1 nano
LMArena Vision9841063

Multilingual GPT-4.1 nano leads

Claude 3 Sonnet: 38.0 (#229), GPT-4.1 nano: 41.8 (#200)

BenchmarkClaude 3 SonnetGPT-4.1 nano
LMArena Non-English12051260
LMArena Chinese11881270
LMArena German12041288
LMArena Japanese11311199
LMArena Russian12271261
LMArena French1228—
LMArena Korean1128—
LMArena Spanish1204—

Instruction Following GPT-4.1 nano leads

Claude 3 Sonnet: 63.1 (#230), GPT-4.1 nano: 68.0 (#188)

BenchmarkClaude 3 SonnetGPT-4.1 nano
LMArena Instruction Following12001267
IFEval—84.3%

Long Context Claude 3 Sonnet leads

Claude 3 Sonnet: 36.7 (#223), GPT-4.1 nano: 23.7 (#291)

BenchmarkClaude 3 SonnetGPT-4.1 nano
LMArena Longer Query12111283
Fiction.LiveBench—25%

Writing & Preference Claude 3 Sonnet leads

Claude 3 Sonnet: 42.3 (#233), GPT-4.1 nano: 40.7 (#238)

BenchmarkClaude 3 SonnetGPT-4.1 nano
LMArena Text12181285
LMArena Creative Writing11861260
LMArena Multi-Turn12271277
EQ-Bench Creative Writing—946
WildBench—81.2%

Frequently asked questions

Is Claude 3 Sonnet better than GPT-4.1 nano?

Claude 3 Sonnet is the stronger model overall, scoring 28.8 to 27.7 on the Noometry Index.

Is Claude 3 Sonnet or GPT-4.1 nano better for coding?

Claude 3 Sonnet scores higher on coding benchmarks: 29.2 versus 23.8 in the Noometry coding category.

How many benchmarks do Claude 3 Sonnet and GPT-4.1 nano share?

21 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and GPT-4.1 nano has 38.

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