Model comparison

Claude Sonnet 4.6 vs GPT-5 Mini

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 41.8 on the Noometry Index. GPT-5 Mini costs 8.7× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Last verified . 41 shared benchmarks.

Claude Sonnet 4.6 Anthropic

50.3

Rank #50 Confirmed

GPT-5 Mini OpenAI

41.8

Rank #128 Confirmed

Summary

  • They share 41 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 10 categories and GPT-5 Mini in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Sonnet 4.6 leads 46.1 to 23.9.
  • The biggest single-benchmark swing is ARC-AGI-2: 60.4% for Claude Sonnet 4.6 and 4.4% for GPT-5 Mini.
  • GPT-5 Mini is cheaper at $0.25 / $2 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
  • Claude Sonnet 4.6 accepts more context: 1M tokens versus 400K.

Side by side

Claude Sonnet 4.6 and GPT-5 Mini specifications
Claude Sonnet 4.6GPT-5 Mini
ProviderAnthropicOpenAI
Noometry Index50.341.8
Released2026-02-172025-08-07
WeightsProprietaryProprietary
Context window1M400K
Max output128K128K
Input $ / M tokens$3$0.25
Output $ / M tokens$15$2
Results tracked5760

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

Category by category

Coding Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.3 (#67), GPT-5 Mini: 40.1 (#146)

Coding benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
SWE-bench Verified75.2%64.7%
SciCode46.8%39.2%
WeirdML66.1%52.7%
LMArena Coding15041406
ALE-Bench1,327799.77
DeepSWE29.9%—
FrontierCode24.3%—
SWE-bench Verified (bash only)—59.8%
LMArena WebDev1522—
SWE-bench Multilingual—39.7%
AlgoTune—1.38

Agentic & Tool Use Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 39.1 (#28), GPT-5 Mini: 31.1 (#70)

Agentic & Tool Use benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
Terminal-Bench53.4%34.8%
Vending-Bench 27,204-31.18
APEX-Agents43%—
Berkeley Function Calling Leaderboard—55.5%
OSWorld 2.09.3%—
DeepResearch Bench54.9%—
OSWorld72.1%—
ExploitBench23.6%—
GBAEval48.8%—
GDP.pdf18%—
LMArena Search1221—

Reasoning Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.1 (#45), GPT-5 Mini: 23.9 (#168)

Reasoning benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
ARC-AGI-260.4%4.4%
ARC-AGI-186.5%54.3%
CritPt3.1%0%
Chess Puzzles13%30%
LMArena Hard Prompts14841380
Mystery Game Puzzles16%10%
DTBench89.9%80.5%
LMCA46.5%34.2%
Epoch Capabilities Index152.24145.52
ForecastBench6261
Kagi LLM Benchmark—70.3%
NYT Connections (extended)80.9%—
EnigmaEval—8.2%
Thematic Generalization76.3%—

Math Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 52.9 (#49), GPT-5 Mini: 46.7 (#69)

Math benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
OTIS Mock AIME 2024-202585.8%86.7%
ProofBench45%9%
LMArena Math14621378
FrontierMath (Feb 2025 set)32.4%27.2%
FrontierMath Tier 4 (v1)8.3%6.3%
FrontierMath (Tiers 1-3)—46.7%
FrontierMath Tier 4—12.2%
Omni-MATH—72.2%
MATH Level 5—97.8%

Knowledge Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 51.7 (#65), GPT-5 Mini: 45.6 (#86)

Knowledge benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
GPQA Diamond87.4%75%
SimpleQA Verified35.5%21.6%
Vectara Hallucination Rate10.6%12.9%
LMArena Expert15001379
Humanity's Last Exam—19.4%
MMLU-Pro—83.5%
Confabulations—13.3%
GPQA (HELM)—75.6%

Multimodal Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 38.0 (#68), GPT-5 Mini: 35.6 (#85)

Multimodal benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
LMArena Vision12831202
VPCT—40.2%
Blueprint-Bench 26.7%—
LMArena Document1482—

Multilingual Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 54.4 (#41), GPT-5 Mini: 48.9 (#137)

Multilingual benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
LMArena Non-English14401363
LMArena Chinese14911385
LMArena French14651386
LMArena German14281366
LMArena Japanese14201341
LMArena Korean14111308
LMArena Russian14401362
LMArena Spanish14641355

Instruction Following Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 77.4 (#25), GPT-5 Mini: 76.2 (#46)

Instruction Following benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
LMArena Instruction Following14751357
IFEval—92.7%

Long Context Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 45.3 (#44), GPT-5 Mini: 41.9 (#132)

Long Context benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
LMArena Longer Query14791355
Fiction.LiveBench—69.4%

Writing & Preference Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 70.2 (#22), GPT-5 Mini: 55.2 (#148)

Writing & Preference benchmarks
BenchmarkClaude Sonnet 4.6GPT-5 Mini
LMArena Text14581373
LMArena Creative Writing14351325
EQ-Bench Creative Writing18101313
LMArena Multi-Turn14641363
Short-Story Creative Writing—83.1%
WildBench—85.5%
EQ-Bench 41207—

Frequently asked questions

Is Claude Sonnet 4.6 better than GPT-5 Mini?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 41.8 on the Noometry Index. GPT-5 Mini costs 8.7× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.6 or GPT-5 Mini?

GPT-5 Mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.

Is Claude Sonnet 4.6 or GPT-5 Mini better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 400K.

How many benchmarks do Claude Sonnet 4.6 and GPT-5 Mini share?

41 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and GPT-5 Mini has 60.

Related comparisons

Go deeper