Noometry

Model comparison

Claude Opus 4.8 vs GPT-5 Nano

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 33.4 on the Noometry Index. GPT-5 Nano costs 73× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Last verified . 36 shared benchmarks.

Claude Opus 4.8 Anthropic

60.7

Rank #9 Confirmed

GPT-5 Nano OpenAI

33.4

Rank #234 Confirmed

Summary

  • They share 36 benchmarks with published results for both. Claude Opus 4.8 scores higher in 10 categories and GPT-5 Nano in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Opus 4.8 leads 78.2 to 29.1.
  • The biggest single-benchmark swing is ARC-AGI-1: 92.5% for Claude Opus 4.8 and 20.7% for GPT-5 Nano.
  • GPT-5 Nano is cheaper at $0.05 / $0.40 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 4.8GPT-5 Nano
ProviderAnthropicOpenAI
Noometry Index60.733.4
Released2026-05-282025-08-07
WeightsProprietaryProprietary
Context window1M400K
Max output128K128K
Input $ / M tokens$5$0.05
Output $ / M tokens$25$0.40
Results tracked6548

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Category by category

Coding Claude Opus 4.8 leads

Claude Opus 4.8: 60.2 (#9), GPT-5 Nano: 33.3 (#248)

BenchmarkClaude Opus 4.8GPT-5 Nano
WeirdML82.9%38.1%
LMArena Coding14911351
ALE-Bench1,564718.67
DeepSWE59%—
FrontierCode46.5%—
SWE-bench Verified (bash only)—34.8%
LMArena WebDev1556—
SciCode53.5%—
GSO47.1%—

Agentic & Tool Use Claude Opus 4.8 leads

Claude Opus 4.8: 47.6 (#10), GPT-5 Nano: 25.6 (#99)

BenchmarkClaude Opus 4.8GPT-5 Nano
Terminal-Bench—21.8%
APEX-Agents48.9%—
Berkeley Function Calling Leaderboard—51.5%
OSWorld 2.020.6%—
Remote Labor Index8.3%—
τ²-bench Banking39.7%—
DeepResearch Bench50.2%—
PostTrainBench33.8%—
GBAEval70.9%—
GDP.pdf24%—
LMArena Search1204—
Vending-Bench 25,787—

Reasoning Claude Opus 4.8 leads

Claude Opus 4.8: 64.6 (#14), GPT-5 Nano: 16.4 (#291)

BenchmarkClaude Opus 4.8GPT-5 Nano
ARC-AGI-272.1%2.6%
Kagi LLM Benchmark88.8%62.2%
ARC-AGI-192.5%20.7%
Chess Puzzles34%27%
LMArena Hard Prompts14811329
Mystery Game Puzzles36%9%
DTBench94.9%62.7%
LMCA57.5%7.9%
Epoch Capabilities Index158.3139.39
ForecastBench59.959.1
SimpleBench64.8%—
NYT Connections (extended)91.1%—
CritPt20.9%—
EnigmaEval23.5%—
EBR-Bench28.6%—
Surface Evolver Bench87.5%—
Bench to the Future 30.14—

Math Claude Opus 4.8 leads

Claude Opus 4.8: 78.2 (#11), GPT-5 Nano: 29.1 (#221)

BenchmarkClaude Opus 4.8GPT-5 Nano
FrontierMath (Tiers 1-3)80%20%
FrontierMath Tier 456.1%2.4%
OTIS Mock AIME 2024-202598.3%81.1%
ProofBench69%12%
LMArena Math14871318
FrontierMath (Feb 2025 set)47.2%8.3%
FrontierMath Tier 4 (v1)31.3%2.1%
MathArena Final-Answer Competitions91.8%—
Omni-MATH—54.6%
MATH Level 5—95.2%

Knowledge Claude Opus 4.8 leads

Claude Opus 4.8: 61.3 (#26), GPT-5 Nano: 35.8 (#166)

BenchmarkClaude Opus 4.8GPT-5 Nano
GPQA Diamond91%69.4%
SimpleQA Verified53%11.7%
LMArena Expert15011321
MMLU-Pro—77.8%
Vectara Hallucination Rate—10.5%
GPQA (HELM)—67.9%

Multimodal Claude Opus 4.8 leads

Claude Opus 4.8: 43.2 (#20), GPT-5 Nano: 30.7 (#102)

BenchmarkClaude Opus 4.8GPT-5 Nano
LMArena Vision12951159
VPCT—37.2%
Blueprint-Bench 214.5%—
Furniture Assembly42.5%—
LMArena Document1475—

Multilingual Claude Opus 4.8 leads

Claude Opus 4.8: 55.4 (#31), GPT-5 Nano: 45.5 (#167)

BenchmarkClaude Opus 4.8GPT-5 Nano
LMArena Non-English14501313
LMArena Chinese15091355
LMArena German14701329
LMArena Korean14321269
LMArena Russian14761296
LMArena Spanish14701360
LMArena French1482—
LMArena Japanese1440—

Instruction Following Claude Opus 4.8 leads

Claude Opus 4.8: 77.6 (#22), GPT-5 Nano: 75.2 (#72)

BenchmarkClaude Opus 4.8GPT-5 Nano
LMArena Instruction Following14761306
IFEval—93.2%

Long Context Claude Opus 4.8 leads

Claude Opus 4.8: 45.4 (#37), GPT-5 Nano: 31.3 (#275)

BenchmarkClaude Opus 4.8GPT-5 Nano
LMArena Longer Query14821313
Fiction.LiveBench—44.4%

Writing & Preference Claude Opus 4.8 leads

Claude Opus 4.8: 72.1 (#17), GPT-5 Nano: 39.4 (#244)

BenchmarkClaude Opus 4.8GPT-5 Nano
LMArena Text14601320
LMArena Creative Writing14531250
EQ-Bench Creative Writing1840705
LMArena Multi-Turn14761311
WildBench—80.6%
EQ-Bench 41281—

Frequently asked questions

Is Claude Opus 4.8 better than GPT-5 Nano?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 33.4 on the Noometry Index. GPT-5 Nano costs 73× 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 Nano?

GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; Claude Opus 4.8 lists at $5 and $25.

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

Claude Opus 4.8 scores higher on coding benchmarks: 60.2 versus 33.3 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 Nano share?

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

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