Compare / head-to-head
Claude Opus 4.5vs
GPT-5
Claude Opus 4.5 leads 11 of 17 shared benchmarks. GPT-5 is 2.7x cheaper per token. GPT-5 has the larger context window (400K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
11 – 6
Claude Opus 4.5 leads
Cheaper per token
GPT-5
2.7x cheaper, input + output
Larger context
GPT-5
400K tokens
Providers
2 providers
Anthropic · OpenAI
Claude Opus 4.5
Anthropic · released 2025-11-24
textvision
Quality
Benchmark matrix
17 shared · 21 only Claude Opus 4.5 · 3 only GPT-5| Benchmark | Claude Opus 4.5 | GPT-5 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 17 | ||||
| SWE-bench Verified | 80.9% ↗ | 74.9% ↗ | +6 pt | Claude Opus 4.5 |
| GPQA Diamond | 87% ↗ | 86.2% ↗epoch run | +0.8 pt | Claude Opus 4.5 |
| LMArena Elo | 1473.6 ↗ | 1434.5 ↗ | +39.1 | Claude Opus 4.5 |
| BALROG (BALROG) | 43.5% ↗ | 32.8% ↗ | +10.7 pt | Claude Opus 4.5 |
| Chess Puzzles (Epoch AI run) | 12% ↗epoch run | 37% ↗epoch run | -25 pt | GPT-5 |
| EBR-bench (Epoch AI run) | 14.3% ↗epoch run | 12.7% ↗epoch run | +1.6 pt | Claude Opus 4.5 |
| FrontierMath Tier 4 v2 (Epoch AI run) | 4.9% ↗epoch run | 22% ↗epoch run | -17.1 pt | GPT-5 |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 34.4% ↗epoch run | 55.4% ↗epoch run | -21 pt | GPT-5 |
| GSO Opt@1 (GSO) | 24.5% ↗ | 5.9% ↗ | +18.6 pt | Claude Opus 4.5 |
| LMArena WebDev (LMArena) | 1493.3 ↗ | 1417.1 ↗ | +76.2 | Claude Opus 4.5 |
| Mystery Game Puzzles (Epoch AI run) | 22% ↗epoch run | 23% ↗epoch run | -1 pt | GPT-5 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 86.1% ↗epoch run | 91.4% ↗epoch run | -5.3 pt | GPT-5 |
| SAGE (Vals AI) | 52.1% ↗ | 43.7% ↗ | +8.4 pt | Claude Opus 4.5 |
| SimpleBench (SimpleBench) | 62% ↗ | 56.7% ↗ | +5.3 pt | Claude Opus 4.5 |
| SimpleQA Verified | 45.7% ↗epoch run | 50.1% ↗epoch run | -4.4 pt | GPT-5 |
| SWE-bench Verified (Epoch AI run) | 76.7% ↗epoch run | 73.6% ↗epoch run | +3.1 pt | Claude Opus 4.5 |
| WeirdML (Håvard Tveit Ihle) | 63.7% ↗ | 60.7% ↗ | +3 pt | Claude Opus 4.5 |
| Only Claude Opus 4.5 reports · 21 | ||||
| ARC-AGI-2 (Verified) | 37.6% ↗ | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 28.3% ↗epoch run | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 39.7% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 79.7% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 74.4% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 62.5% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 81.3% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 90.4% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 80.1% ↗ | not reported | — | — |
| MCP Atlas | 62.3% ↗ | not reported | — | — |
| MMMLU | 90.8% ↗ | not reported | — | — |
| MMMU (validation) | 80.7% ↗ | not reported | — | — |
| OSWorld | 66.3% ↗ | not reported | — | — |
| tau2-bench Airline (Sierra) | 84% ↗ | not reported | — | — |
| tau2-bench Banking Knowledge (Sierra) | 24.7% ↗ | not reported | — | — |
| tau2-bench Retail (Sierra) | 79.6% ↗ | not reported | — | — |
| tau2-bench Telecom (Sierra) | 92.3% ↗ | not reported | — | — |
| Terminal-Bench 2.0 | 59.3% ↗ | not reported | — | — |
| Vending-Bench 2 (Andon Labs) | 4967.06 ↗ | not reported | — | — |
| τ2-bench (Retail) | 88.9% ↗ | not reported | — | — |
| τ2-bench (Telecom) | 98.2% ↗ | not reported | — | — |
| Only GPT-5 reports · 3 | ||||
| AIME 2025 | not reported | 94.6% ↗ | — | — |
| LMArena Vision (LMArena) | not reported | 1210.2 ↗ | — | — |
| MATH Level 5 (Epoch AI run) | not reported | 98.1% ↗epoch run | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Claude Opus 4.5 minus GPT-5 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Claude Opus 4.5 | GPT-5 | Edge |
|---|---|---|---|
| Context window | 200K tokens | 400K tokens | GPT-5 |
| Max output | 64K tokens | 128K tokens | GPT-5 |
| Input price / 1M | $5 ↗ | $1.25 ↗ | GPT-5 |
| Output price / 1M | $25 ↗ | $10 ↗ | GPT-5 |
| Cached input / 1M | $0.5 ↗ | $0.125 ↗ | GPT-5 |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $30 | $11.25 | GPT-5 |
| Modalities | text · vision | text · vision | Tie |
| Released | 2025-11-24 | 2025-08-07 | — |
| Cited benchmark scores | 39 | 27 | — |
Reliability
Provider status
Live from /statusMore matchups
Claude Opus 4.5 vs …
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GPT-5 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
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