Model comparison

Claude Sonnet 4 vs GPT-6 Astra

GPT-6 Astra is the stronger model overall, scoring 70.8 to 40.8 on the Noometry Index. Claude Sonnet 4 costs 3.3× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

Last verified . 33 shared benchmarks.

Claude Sonnet 4 Anthropic

40.8

Rank #145 Confirmed

GPT-6 Astra OpenAI

70.8

Rank #1 Confirmed

Summary

  • They share 33 benchmarks with published results for both. Claude Sonnet 4 scores higher in 0 categories and GPT-6 Astra in 10 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 22.9.
  • The biggest single-benchmark swing is ARC-AGI-2: 5.9% for Claude Sonnet 4 and 95% for GPT-6 Astra.
  • Claude Sonnet 4 is cheaper at $3 / $15 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
  • GPT-6 Astra accepts more context: 1.05M tokens versus 200K.

Side by side

Claude Sonnet 4 and GPT-6 Astra specifications
Claude Sonnet 4GPT-6 Astra
ProviderAnthropicOpenAI
Noometry Index40.870.8
Released2025-05-222026-09-03
WeightsProprietaryProprietary
Context window200K1.05M
Max output64K128K
Input $ / M tokens$3$10
Output $ / M tokens$15$50
Results tracked5856

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Category by category

Coding GPT-6 Astra leads

Claude Sonnet 4: 43.5 (#88), GPT-6 Astra: 73.7 (#2)

Coding benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
SciCode40%56.5%
GSO4.9%79.4%
WeirdML46.1%93.6%
LMArena Coding14141487
ALE-Bench655.352,951
DeepSWE—74.1%
FrontierCode—53.3%
SWE-bench Verified (bash only)64.9%—
Aider Polyglot61.3%—
LMArena WebDev—1786
FrontierSWE—65.5%
MirrorCode—46.7%

Agentic & Tool Use GPT-6 Astra leads

Claude Sonnet 4: 38.5 (#31), GPT-6 Astra: 52.9 (#3)

Agentic & Tool Use benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
APEX-Agents—64.7%
Remote Labor Index—20.8%
TheAgentCompany33.1%—
Cybench35%—
DeepResearch Bench46.6%—
OSWorld43.9%—
BALROG—68.3%
GDP.pdf—34.2%
METR Time Horizons62%—
Vending-Bench 2—15,515

Reasoning GPT-6 Astra leads

Claude Sonnet 4: 22.9 (#187), GPT-6 Astra: 85.1 (#1)

Reasoning benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
ARC-AGI-25.9%95%
ARC-AGI-140%98.5%
CritPt0.3%31.7%
LMArena Hard Prompts13721462
DTBench77.1%97.3%
LMCA29%64.4%
Epoch Capabilities Index141.69166.45
SimpleBench45.5%—
Kagi LLM Benchmark73%—
NYT Connections (extended)—98.1%
Chess Puzzles—72%
EnigmaEval3.1%—
EBR-Bench—76.2%
Mystery Game Puzzles—84%
Bench to the Future 3—0.14
ForecastBench60.2—

Math GPT-6 Astra leads

Claude Sonnet 4: 43.3 (#80), GPT-6 Astra: 93.5 (#2)

Math benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
OTIS Mock AIME 2024-202571.1%100%
LMArena Math13751465
FrontierMath (Tiers 1-3)—93.7%
FrontierMath Tier 4—97.6%
ProofBench—99%
Omni-MATH60.2%—
MATH Level 584.4%—
FrontierMath (Feb 2025 set)4.1%—
FrontierMath Erdős—2.9%
FrontierMath Tier 4 (v1)0%—

Knowledge GPT-6 Astra leads

Claude Sonnet 4: 41.8 (#108), GPT-6 Astra: 75.3 (#1)

Knowledge benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
GPQA Diamond79.2%95.8%
Humanity's Last Exam7.8%54.8%
Vectara Hallucination Rate10.3%8.7%
LMArena Expert13721483
SimpleQA Verified—75.6%
MMLU-Pro84.3%—
Confabulations13.2%—
GPQA (HELM)70.6%—

Multimodal GPT-6 Astra leads

Claude Sonnet 4: 26.2 (#121), GPT-6 Astra: 55.0 (#3)

Multimodal benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
LMArena Vision11911281
GeoBench37%—
VPCT34%—
Blueprint-Bench 2—49.7%
Furniture Assembly—80%
LMArena Document—1468
MindCube44.8%—

Multilingual GPT-6 Astra leads

Claude Sonnet 4: 46.7 (#156), GPT-6 Astra: 53.7 (#61)

Multilingual benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
LMArena Non-English13331430
LMArena Chinese13501484
LMArena French13631456
LMArena German13311440
LMArena Japanese13021379
LMArena Korean12911426
LMArena Russian13551436
LMArena Spanish13571407

Instruction Following GPT-6 Astra leads

Claude Sonnet 4: 71.7 (#145), GPT-6 Astra: 76.3 (#44)

Instruction Following benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
LMArena Instruction Following13761450
IFEval84%—

Long Context GPT-6 Astra leads

Claude Sonnet 4: 33.7 (#259), GPT-6 Astra: 44.5 (#62)

Long Context benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
LMArena Longer Query13981456
Fiction.LiveBench46.9%—

Writing & Preference GPT-6 Astra leads

Claude Sonnet 4: 57.1 (#132), GPT-6 Astra: 75.3 (#7)

Writing & Preference benchmarks
BenchmarkClaude Sonnet 4GPT-6 Astra
LMArena Text13511441
LMArena Creative Writing13451418
EQ-Bench Creative Writing14832173
LMArena Multi-Turn13761448
Short-Story Creative Writing81.4%—
WildBench83.8%—

Frequently asked questions

Is Claude Sonnet 4 better than GPT-6 Astra?

GPT-6 Astra is the stronger model overall, scoring 70.8 to 40.8 on the Noometry Index. Claude Sonnet 4 costs 3.3× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4 or GPT-6 Astra?

Claude Sonnet 4 is cheaper. It lists at $3 per million input tokens and $15 per million output tokens; GPT-6 Astra lists at $10 and $50.

Is Claude Sonnet 4 or GPT-6 Astra better for coding?

GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 43.5 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Astra does, with 1.05M tokens against 200K.

How many benchmarks do Claude Sonnet 4 and GPT-6 Astra share?

33 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and GPT-6 Astra has 56.

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