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Claude Opus 5.5 vs GPT-6 Astra

30 SHARED BENCHMARKS

Across 30 shared benchmarks, Claude Opus 5.5 scores higher on 20 and GPT-6 Astra on 8, with 2 level. The widest gap is GDPVal, where Claude Opus 5.5 scores 67.3 against 52.1. Claude Opus 5.5 is the cheaper of the two on tracked API pricing ($4.00 against $10.00 per million input tokens).

ANTHROPICVSOPENAI30 SHARED20–8 HEAD-TO-HEADNEWEST SCORE ADDED

At a glance

MakerAnthropicOpenAI
Released
Price per 1M tokens input / output$4.00 / $20.00$10.00 / $50.00
Cost of 1M in + 1M out$24.00 2.5× less$60.00
Head-to-head of 30 shared benchmarks20 wins8 wins
Scores tracked independently verified98 25 ◆160 43 ◆

Release dates: the vendor's own announcement for Claude Opus 5.5; Artificial Analysis for GPT-6 Astra. Prices: Artificial Analysis for Claude Opus 5.5; Artificial Analysis for GPT-6 Astra. ◆ = independently verified score.

Where each leadsby capability area · benchmark wins

AreaClaude Opus 5.5WINSGPT-6 Astra
Reasoning22Even, 2–2 of 5
Coding40Claude Opus 5.5 leads 4 of 4 · widest: LiveBench · Agentic Coding 71.7 vs 57.3
Agentic21Claude Opus 5.5 leads 2 of 3 · widest: GDPVal 67.3 vs 52.1
Factuality11Even, 1–1 of 2
Instruction Following01GPT-6 Astra leads 1 of 1 · widest: LiveBench · Instruction Following 65.7 vs 75.6
Long Context10Claude Opus 5.5 leads 1 of 1 · widest: AA-LCR 84.7 vs 80.7
Math10Claude Opus 5.5 leads 1 of 1
Multimodal10Claude Opus 5.5 leads 1 of 1

Biggest gaps

Claude Opus 5.5 pulls furthest ahead on

  1. GDPVal67.3 vs 52.1
  2. LiveBench · Agentic Coding71.7 vs 57.3
  3. SciCode66.9 vs 56.5

GPT-6 Astra pulls furthest ahead on

  1. AA IT-Bench SRE48.6 vs 38.2
  2. AA-Omniscience · Non-hallucination48.7 vs 41.4
  3. LiveBench · Instruction Following75.6 vs 65.7

Every shared benchmark30 · grouped by area

Reasoning 5

ARC-AGI-291.7 ◆95
CritPt31.731.7
LiveBench · Reasoning92.2 ◆◆ 92.7
SimpleBench88.4 ◆◆ 83.6

Coding 4

LMArena · WebDev1827 ◆◆ 1792
LiveBench · Coding89.3 ◆◆ 80.4
SciCode66.956.5

Agentic 3

GDPVal67.352.1
Terminal-Bench 4.059.659.1

Instruction Following 1

Long Context 1

AA-LCR84.780.7

Math 1

Multimodal 1

MMMU-Pro87.786.9

Other shared benchmarks 12

ARC-AGI-197.5 ◆◆ 97.5
DeepSWE 1.174.274.1
GDPval-AA 2.118461542
livebench_language86.3 ◆◆ 89.4
OSWorld 2.081.872.6
Terminal-Bench 4.066.457.7
Terminal-Bench-Science 0.158.764.6

Each score is the one the model's own page shows — the most authoritative tracked result for that benchmark, on the benchmark's standard methodology (source-attributed). ↓ marks lower-is-better metrics; ◆ an independently verified score. Open either model for its full surface, provenance and pricing. Quoted rates are the price-setter row we currently track for each model — its direct or vendor-official listing where one exists (direct, direct), otherwise the lowest tracked offer.

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