Model comparison

Claude Opus 4.6 vs GPT-5 Mini

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 41.8 on the Noometry Index. GPT-5 Mini costs 15× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Last verified . 47 shared benchmarks.

Claude Opus 4.6 Anthropic

58.2

Rank #20 Confirmed

GPT-5 Mini OpenAI

41.8

Rank #128 Confirmed

Summary

  • They share 47 benchmarks with published results for both. Claude Opus 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 Opus 4.6 leads 57.8 to 23.9.
  • The biggest single-benchmark swing is ARC-AGI-2: 69.2% for Claude Opus 4.6 and 4.4% for GPT-5 Mini.
  • GPT-5 Mini is cheaper at $0.25 / $2 per million input/output tokens, against $5 / $25 for Claude Opus 4.6.
  • Claude Opus 4.6 accepts more context: 1M tokens versus 400K.

Side by side

Claude Opus 4.6 and GPT-5 Mini specifications
Claude Opus 4.6GPT-5 Mini
ProviderAnthropicOpenAI
Noometry Index58.241.8
Released2026-02-042025-08-07
WeightsProprietaryProprietary
Context window1M400K
Max output128K128K
Input $ / M tokens$5$0.25
Output $ / M tokens$25$2
Results tracked6860

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Category by category

Coding Claude Opus 4.6 leads

Claude Opus 4.6: 57.2 (#20), GPT-5 Mini: 40.1 (#146)

Coding benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
SWE-bench Verified78.7%64.7%
SWE-bench Verified (bash only)75.6%59.8%
SWE-bench Multilingual72%39.7%
WeirdML78%52.7%
LMArena Coding15361406
ALE-Bench996.5799.77
AlgoTune1.471.38
FrontierCode26.6%—
LMArena WebDev1547—
SciCode—39.2%
GSO41.2%—

Agentic & Tool Use Claude Opus 4.6 leads

Claude Opus 4.6: 51.1 (#4), GPT-5 Mini: 31.1 (#70)

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
Terminal-Bench79.8%34.8%
Vending-Bench 28,018-31.18
APEX-Agents46.3%—
Berkeley Function Calling Leaderboard—55.5%
Remote Labor Index4.2%—
τ²-bench Banking27.3%—
Cybench93%—
DeepResearch Bench55.3%—
GBAEval44.1%—
LMArena Search1253—
METR Time Horizons78.9%—

Reasoning Claude Opus 4.6 leads

Claude Opus 4.6: 57.8 (#23), GPT-5 Mini: 23.9 (#168)

Reasoning benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
ARC-AGI-269.2%4.4%
Kagi LLM Benchmark83.6%70.3%
ARC-AGI-194%54.3%
Chess Puzzles17%30%
EnigmaEval7.6%8.2%
LMArena Hard Prompts15271380
Mystery Game Puzzles25%10%
DTBench91.2%80.5%
LMCA55.8%34.2%
Epoch Capabilities Index155.24145.52
ForecastBench6061
SimpleBench67.6%—
NYT Connections (extended)92.1%—
CritPt—0%
Thematic Generalization80.6%—
EBR-Bench12.7%—

Math Claude Opus 4.6 leads

Claude Opus 4.6: 63.0 (#31), GPT-5 Mini: 46.7 (#69)

Math benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
FrontierMath (Tiers 1-3)66%46.7%
FrontierMath Tier 426.8%12.2%
OTIS Mock AIME 2024-202594.4%86.7%
ProofBench50%9%
LMArena Math15191378
FrontierMath (Feb 2025 set)40.7%27.2%
FrontierMath Tier 4 (v1)22.9%6.3%
MathArena Final-Answer Competitions78.5%—
Omni-MATH—72.2%
MATH Level 5—97.8%

Knowledge Claude Opus 4.6 leads

Claude Opus 4.6: 61.9 (#26), GPT-5 Mini: 45.6 (#86)

Knowledge benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
GPQA Diamond90.5%75%
Humanity's Last Exam34.4%19.4%
SimpleQA Verified47%21.6%
Vectara Hallucination Rate12.2%12.9%
LMArena Expert15461379
MMLU-Pro—83.5%
Confabulations—13.3%
GPQA (HELM)—75.6%

Multimodal Claude Opus 4.6 leads

Claude Opus 4.6: 37.3 (#74), GPT-5 Mini: 35.6 (#85)

Multimodal benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
LMArena Vision13161202
VPCT—40.2%
Furniture Assembly28.3%—
LMArena Document1507—

Multilingual Claude Opus 4.6 leads

Claude Opus 4.6: 57.9 (#6), GPT-5 Mini: 48.9 (#137)

Multilingual benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
LMArena Non-English14891363
LMArena Chinese15511385
LMArena French15131386
LMArena German15021366
LMArena Japanese14841341
LMArena Korean14641308
LMArena Russian14971362
LMArena Spanish15101355

Instruction Following Claude Opus 4.6 leads

Claude Opus 4.6: 79.5 (#4), GPT-5 Mini: 76.2 (#46)

Instruction Following benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
LMArena Instruction Following15231357
IFEval—92.7%

Long Context Claude Opus 4.6 leads

Claude Opus 4.6: 48.1 (#13), GPT-5 Mini: 41.9 (#132)

Long Context benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
LMArena Longer Query15201355
Fiction.LiveBench—69.4%
CL-bench20.7%—
CL-bench Life17%—

Writing & Preference Claude Opus 4.6 leads

Claude Opus 4.6: 73.5 (#10), GPT-5 Mini: 55.2 (#148)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.6GPT-5 Mini
LMArena Text15031373
LMArena Creative Writing15051325
EQ-Bench Creative Writing18091313
LMArena Multi-Turn15131363
Short-Story Creative Writing—83.1%
WildBench—85.5%
EQ-Bench 41223—

Frequently asked questions

Is Claude Opus 4.6 better than GPT-5 Mini?

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 41.8 on the Noometry Index. GPT-5 Mini costs 15× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 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 Opus 4.6 lists at $5 and $25.

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

Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

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

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

47 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and GPT-5 Mini has 60.

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