Model comparison

Claude Sonnet 4.6 vs GPT-4o mini

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 25.5 on the Noometry Index. GPT-4o mini costs 23× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

Claude Sonnet 4.6 Anthropic

50.3

Rank #50 Confirmed

GPT-4o mini OpenAI

25.5

Rank #343 Confirmed

Summary

  • They share 29 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 10 categories and GPT-4o mini in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Sonnet 4.6 leads 52.9 to 10.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 85.8% for Claude Sonnet 4.6 and 6.9% for GPT-4o mini.
  • GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
  • Claude Sonnet 4.6 accepts more context: 1M tokens versus 128K.

Side by side

Claude Sonnet 4.6 and GPT-4o mini specifications
Claude Sonnet 4.6GPT-4o mini
ProviderAnthropicOpenAI
Noometry Index50.325.5
Released2026-02-172024-07-18
WeightsProprietaryProprietary
Context window1M128K
Max output128K16K
Input $ / M tokens$3$0.15
Output $ / M tokens$15$0.60
Results tracked5760

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Category by category

Coding Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.3 (#67), GPT-4o mini: 22.0 (#335)

Coding benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
WeirdML66.1%11.8%
LMArena Coding15041290
SWE-bench Verified75.2%—
DeepSWE29.9%—
FrontierCode24.3%—
Aider Polyglot—3.6%
LMArena WebDev1522—
SciCode46.8%—
BigCodeBench Instruct—46.1%
LiveBench Coding—43.1%
BigCodeBench Complete—57.4%
ALE-Bench1,327—
HumanEval+—83.5%
MBPP+—72.2%

Agentic & Tool Use Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 39.1 (#28), GPT-4o mini: 27.5 (#101)

Agentic & Tool Use benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
Terminal-Bench53.4%—
APEX-Agents43%—
OSWorld 2.09.3%—
DeepResearch Bench54.9%—
OSWorld72.1%—
BALROG—17.4%
ExploitBench23.6%—
GBAEval48.8%—
GDP.pdf18%—
LMArena Search1221—
Vending-Bench 27,204—

Reasoning Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.1 (#45), GPT-4o mini: 8.7 (#347)

Reasoning benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
ARC-AGI-260.4%0%
Chess Puzzles13%0%
LMArena Hard Prompts14841267
Mystery Game Puzzles16%12%
DTBench89.9%54.4%
LMCA46.5%10.4%
Epoch Capabilities Index152.24126.56
SimpleBench—10.7%
Kagi LLM Benchmark—28.8%
NYT Connections (extended)80.9%—
ARC-AGI-186.5%—
CritPt3.1%—
Thematic Generalization76.3%—
LiveBench Reasoning—32.8%
LiveBench Data Analysis—50%
ForecastBench62—
LiveBench—41.3%
PIQA—88.7%

Math Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 52.9 (#49), GPT-4o mini: 10.4 (#314)

Math benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
OTIS Mock AIME 2024-202585.8%6.9%
LMArena Math14621267
FrontierMath (Tiers 1-3)—0.7%
ProofBench45%—
Omni-MATH—28%
LiveBench Math—36.3%
MATH Level 5—52.6%
FrontierMath (Feb 2025 set)32.4%—
FrontierMath Tier 4 (v1)8.3%—
GSM8K—91.3%

Knowledge Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 51.7 (#65), GPT-4o mini: 17.7 (#284)

Knowledge benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
GPQA Diamond87.4%37.7%
SimpleQA Verified35.5%8.3%
LMArena Expert15001235
MMLU-Pro—60.3%
Confabulations—37.2%
Vectara Hallucination Rate10.6%—
GPQA (HELM)—36.8%
BoolQ—88.7%
MMLU—81.8%

Multimodal Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 38.0 (#68), GPT-4o mini: 25.9 (#122)

Multimodal benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
LMArena Vision12831066
Video-MME—64.8%
GeoBench—64%
VPCT—34%
Blueprint-Bench 26.7%—
LMArena Document1482—

Multilingual Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 54.4 (#41), GPT-4o mini: 42.0 (#199)

Multilingual benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
LMArena Non-English14401266
LMArena Chinese14911265
LMArena French14651297
LMArena German14281272
LMArena Japanese14201216
LMArena Korean14111195
LMArena Russian14401275
LMArena Spanish14641276

Instruction Following Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 77.4 (#25), GPT-4o mini: 61.9 (#239)

Instruction Following benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
LMArena Instruction Following14751258
LiveBench Instruction Following—56.8%
IFEval—78.2%

Long Context Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 45.3 (#44), GPT-4o mini: 39.1 (#186)

Long Context benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
LMArena Longer Query14791289

Writing & Preference Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 70.2 (#22), GPT-4o mini: 39.5 (#248)

Writing & Preference benchmarks
BenchmarkClaude Sonnet 4.6GPT-4o mini
LMArena Text14581286
LMArena Creative Writing14351268
EQ-Bench Creative Writing1810873
LMArena Multi-Turn14641285
Short-Story Creative Writing—67.2%
WildBench—79.1%
EQ-Bench 41207—
LiveBench Language—28.6%

Frequently asked questions

Is Claude Sonnet 4.6 better than GPT-4o mini?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 25.5 on the Noometry Index. GPT-4o mini costs 23× 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-4o mini?

GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.

Is Claude Sonnet 4.6 or GPT-4o mini better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 22.0 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 128K.

How many benchmarks do Claude Sonnet 4.6 and GPT-4o mini share?

29 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and GPT-4o mini has 60.

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