Model comparison
Claude Opus 4.5 vs GPT-5 Nano
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 33.4 on the Noometry Index. GPT-5 Nano costs 73× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Last verified . 40 shared benchmarks.
Summary
- They share 40 benchmarks with published results for both. Claude Opus 4.5 scores higher in 10 categories and GPT-5 Nano in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Opus 4.5 leads 68.2 to 39.4.
- The biggest single-benchmark swing is ARC-AGI-1: 80% for Claude Opus 4.5 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 4.5.
- GPT-5 Nano accepts more context: 400K tokens versus 200K.
Side by side
| Claude Opus 4.5 | GPT-5 Nano | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.5 | 33.4 |
| Released | 2025-11-01 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 400K |
| Max output | 64K | 128K |
| Input $ / M tokens | $5 | $0.05 |
| Output $ / M tokens | $25 | $0.40 |
| Results tracked | 69 | 48 |
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Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 55.4 (#21), GPT-5 Nano: 33.3 (#248)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| SWE-bench Verified (bash only) | 76.8% | 34.8% |
| WeirdML | 63.7% | 38.1% |
| LMArena Coding | 1504 | 1351 |
| ALE-Bench | 1,025 | 718.67 |
| SWE-bench Verified | 76.7% | — |
| LMArena WebDev | 1493 | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| AlgoTune | 1.77 | — |
Agentic & Tool Use Claude Opus 4.5 leads
Claude Opus 4.5: 47.2 (#11), GPT-5 Nano: 25.6 (#99)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | 63.1% | 21.8% |
| Berkeley Function Calling Leaderboard | 77.5% | 51.5% |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| BALROG | 43.5% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
| Vending-Bench 2 | 4,967 | — |
Reasoning Claude Opus 4.5 leads
Claude Opus 4.5: 42.5 (#43), GPT-5 Nano: 16.4 (#291)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| ARC-AGI-2 | 37.6% | 2.6% |
| Kagi LLM Benchmark | 80.2% | 62.2% |
| ARC-AGI-1 | 80% | 20.7% |
| Chess Puzzles | 12% | 27% |
| LMArena Hard Prompts | 1476 | 1329 |
| Mystery Game Puzzles | 22% | 9% |
| DTBench | 89.9% | 62.7% |
| LMCA | 44.5% | 7.9% |
| Epoch Capabilities Index | 150.1 | 139.39 |
| ForecastBench | 60.7 | 59.1 |
| SimpleBench | 62% | — |
| NYT Connections (extended) | 52.5% | — |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
Math Claude Opus 4.5 leads
Claude Opus 4.5: 38.5 (#85), GPT-5 Nano: 29.1 (#221)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| FrontierMath (Tiers 1-3) | 34.4% | 20% |
| FrontierMath Tier 4 | 4.9% | 2.4% |
| OTIS Mock AIME 2024-2025 | 86.1% | 81.1% |
| ProofBench | 36% | 12% |
| LMArena Math | 1463 | 1318 |
| FrontierMath (Feb 2025 set) | 20.7% | 8.3% |
| FrontierMath Tier 4 (v1) | 4.2% | 2.1% |
| Omni-MATH | — | 54.6% |
| MATH Level 5 | — | 95.2% |
Knowledge Claude Opus 4.5 leads
Claude Opus 4.5: 56.4 (#38), GPT-5 Nano: 35.8 (#166)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | 86% | 69.4% |
| SimpleQA Verified | 45.7% | 11.7% |
| Vectara Hallucination Rate | 10.9% | 10.5% |
| LMArena Expert | 1488 | 1321 |
| Humanity's Last Exam | 25.2% | — |
| MMLU-Pro | — | 77.8% |
| GPQA (HELM) | — | 67.9% |
Multimodal Too close to call
Claude Opus 4.5: 31.1 (#99), GPT-5 Nano: 30.7 (#102)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| VPCT | 40% | 37.2% |
| LMArena Vision | — | 1159 |
| GeoBench | 75% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
Multilingual Claude Opus 4.5 leads
Claude Opus 4.5: 54.5 (#45), GPT-5 Nano: 45.5 (#167)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1438 | 1313 |
| LMArena Chinese | 1470 | 1355 |
| LMArena German | 1449 | 1329 |
| LMArena Korean | 1424 | 1269 |
| LMArena Russian | 1448 | 1296 |
| LMArena Spanish | 1455 | 1360 |
| LMArena French | 1471 | — |
| LMArena Japanese | 1415 | — |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.7 (#20), GPT-5 Nano: 75.2 (#72)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| LMArena Instruction Following | 1478 | 1306 |
| IFEval | — | 93.2% |
Long Context Claude Opus 4.5 leads
Claude Opus 4.5: 46.4 (#21), GPT-5 Nano: 31.3 (#275)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| LMArena Longer Query | 1480 | 1313 |
| Fiction.LiveBench | — | 44.4% |
| CL-bench | 21.1% | — |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.2 (#28), GPT-5 Nano: 39.4 (#244)
| Benchmark | Claude Opus 4.5 | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1451 | 1320 |
| LMArena Creative Writing | 1445 | 1250 |
| EQ-Bench Creative Writing | 1687 | 705 |
| LMArena Multi-Turn | 1466 | 1311 |
| WildBench | — | 80.6% |
Frequently asked questions
Is Claude Opus 4.5 better than GPT-5 Nano?
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 33.4 on the Noometry Index. GPT-5 Nano costs 73× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.5 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 4.5 lists at $5 and $25.
Is Claude Opus 4.5 or GPT-5 Nano better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 55.4 versus 33.3 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Nano does, with 400K tokens against 200K.
How many benchmarks do Claude Opus 4.5 and GPT-5 Nano share?
40 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and GPT-5 Nano has 48.