Model comparison

Claude Opus 4.8 vs GPT-5

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 50.9 on the Noometry Index. GPT-5 costs 2.9× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Last verified . 48 shared benchmarks.

Claude Opus 4.8 Anthropic

60.7

Rank #13 Confirmed

GPT-5 OpenAI

50.9

Rank #45 Confirmed

Summary

  • They share 48 benchmarks with published results for both. Claude Opus 4.8 scores higher in 8 categories and GPT-5 in 2 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Opus 4.8 leads 64.7 to 38.3.
  • The biggest single-benchmark swing is ARC-AGI-2: 72.1% for Claude Opus 4.8 and 9.9% for GPT-5.
  • GPT-5 is cheaper at $1.25 / $10 per million input/output tokens, against $5 / $25 for Claude Opus 4.8.
  • Claude Opus 4.8 accepts more context: 1M tokens versus 400K.

Side by side

Claude Opus 4.8 and GPT-5 specifications
Claude Opus 4.8GPT-5
ProviderAnthropicOpenAI
Noometry Index60.750.9
Released2026-05-282025-08-07
WeightsProprietaryProprietary
Context window1M400K
Max output128K128K
Input $ / M tokens$5$1.25
Output $ / M tokens$25$10
Results tracked6569

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Category by category

Coding Claude Opus 4.8 leads

Claude Opus 4.8: 59.9 (#12), GPT-5: 50.3 (#47)

Coding benchmarks
BenchmarkClaude Opus 4.8GPT-5
LMArena WebDev15561418
SciCode53.5%42.9%
GSO47.1%6.9%
WeirdML82.9%60.7%
LMArena Coding14901436
ALE-Bench1,5641,162
SWE-bench Verified—73.6%
DeepSWE59%—
FrontierCode46.5%—
SWE-bench Verified (bash only)—65%
Aider Polyglot—88%
AlgoTune—1.67

Agentic & Tool Use Claude Opus 4.8 leads

Claude Opus 4.8: 47.6 (#11), GPT-5: 33.1 (#56)

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.8GPT-5
Remote Labor Index8.3%1.7%
DeepResearch Bench50.2%49.6%
LMArena Search12041133
Terminal-Bench—49.6%
APEX-Agents48.9%—
OSWorld 2.020.6%—
GDPval—34.8%
τ²-bench Banking39.7%—
PostTrainBench33.8%—
BALROG—32.8%
GBAEval70.9%—
GDP.pdf24%—
METR Time Horizons—69.6%
Vending-Bench 25,787—

Reasoning Claude Opus 4.8 leads

Claude Opus 4.8: 64.7 (#16), GPT-5: 38.3 (#64)

Reasoning benchmarks
BenchmarkClaude Opus 4.8GPT-5
ARC-AGI-272.1%9.9%
SimpleBench64.8%56.7%
Kagi LLM Benchmark88.8%72.7%
ARC-AGI-192.5%65.7%
CritPt20.9%12.6%
Chess Puzzles34%37%
EnigmaEval23.5%10.5%
EBR-Bench28.6%12.7%
LMArena Hard Prompts14821416
Mystery Game Puzzles36%23%
DTBench94.9%90.7%
LMCA57.5%40%
Epoch Capabilities Index158.21150
ForecastBench59.961.4
NYT Connections (extended)91.1%—
Surface Evolver Bench87.5%—
Bench to the Future 30.14—

Math Claude Opus 4.8 leads

Claude Opus 4.8: 78.4 (#13), GPT-5: 55.0 (#44)

Knowledge Claude Opus 4.8 leads

Claude Opus 4.8: 61.3 (#29), GPT-5: 56.6 (#43)

Knowledge benchmarks
BenchmarkClaude Opus 4.8GPT-5
GPQA Diamond91%86.2%
SimpleQA Verified53%50.1%
LMArena Expert15021419
Humanity's Last Exam—25.3%
MMLU-Pro—86.3%
Confabulations—10.3%
Vectara Hallucination Rate—14.7%
GPQA (HELM)—79.2%

Multimodal GPT-5 leads

Claude Opus 4.8: 42.9 (#26), GPT-5: 46.8 (#13)

Multimodal benchmarks
BenchmarkClaude Opus 4.8GPT-5
LMArena Vision12941232
GeoBench—81%
VPCT—66%
Blueprint-Bench 214.5%—
Furniture Assembly42.5%—
LMArena Document1475—

Multilingual Claude Opus 4.8 leads

Claude Opus 4.8: 55.2 (#33), GPT-5: 51.4 (#110)

Multilingual benchmarks
BenchmarkClaude Opus 4.8GPT-5
LMArena Non-English14501397
LMArena Chinese15071422
LMArena French14811410
LMArena German14721416
LMArena Japanese14401409
LMArena Korean14321360
LMArena Russian14741406
LMArena Spanish14661399

Instruction Following Claude Opus 4.8 leads

Claude Opus 4.8: 77.4 (#24), GPT-5: 73.8 (#113)

Instruction Following benchmarks
BenchmarkClaude Opus 4.8GPT-5
LMArena Instruction Following14761388
IFEval—87.5%

Long Context GPT-5 leads

Claude Opus 4.8: 45.4 (#35), GPT-5: 69.5 (#2)

Long Context benchmarks
BenchmarkClaude Opus 4.8GPT-5
LMArena Longer Query14831399
Fiction.LiveBench—97.2%

Writing & Preference Claude Opus 4.8 leads

Claude Opus 4.8: 72.0 (#16), GPT-5: 63.4 (#65)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.8GPT-5
LMArena Text14611406
LMArena Creative Writing14541365
EQ-Bench Creative Writing18401627
LMArena Multi-Turn14761426
Short-Story Creative Writing—86%
WildBench—85.7%
EQ-Bench 41281—

Frequently asked questions

Is Claude Opus 4.8 better than GPT-5?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 50.9 on the Noometry Index. GPT-5 costs 2.9× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.8 or GPT-5?

GPT-5 is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; Claude Opus 4.8 lists at $5 and $25.

Is Claude Opus 4.8 or GPT-5 better for coding?

Claude Opus 4.8 scores higher on coding benchmarks: 59.9 versus 50.3 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.8 does, with 1M tokens against 400K.

How many benchmarks do Claude Opus 4.8 and GPT-5 share?

48 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and GPT-5 has 69.

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