Model comparison
Claude Opus 4.7 vs Claude Opus 5
Claude Opus 5 is the stronger model overall, scoring 67.8 to 58.3 on the Noometry Index.
Last verified . 52 shared benchmarks.
Summary
- They share 52 benchmarks with published results for both. Claude Opus 4.7 scores higher in 0 categories and Claude Opus 5 in 10 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 5 leads 77.2 to 53.8.
- The biggest single-benchmark swing is NYT Connections (extended): 39% for Claude Opus 4.7 and 94.3% for Claude Opus 5.
- Both cost about the same: $5 input and $25 output per million tokens.
Side by side
| Claude Opus 4.7 | Claude Opus 5 | |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Noometry Index | 58.3 | 67.8 |
| Released | 2026-04-14 | 2026-07-24 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1M |
| Max output | 128K | 128K |
| Input $ / M tokens | $5 | $5 |
| Output $ / M tokens | $25 | $25 |
| Results tracked | 66 | 57 |
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Category by category
Coding Claude Opus 5 leads
Claude Opus 4.7: 59.6 (#13), Claude Opus 5: 67.5 (#5)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| FrontierCode | 38.5% | 53.4% |
| LMArena WebDev | 1558 | 1691 |
| SciCode | 54.5% | 56.4% |
| WeirdML | 76.4% | 91.8% |
| LMArena Coding | 1518 | 1534 |
| ALE-Bench | 1,323 | 2,165 |
| SWE-bench Verified | 83.5% | — |
| DeepSWE | — | 73.6% |
| CursorBench | — | 46.6% |
| FrontierSWE | — | 52% |
| GSO | 44.1% | — |
| MirrorCode | 31.1% | — |
Agentic & Tool Use Claude Opus 5 leads
Claude Opus 4.7: 47.9 (#10), Claude Opus 5: 55.6 (#1)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| APEX-Agents | 49.2% | 65.8% |
| OSWorld 2.0 | 18.2% | 31.4% |
| τ²-bench Banking | 40.2% | 48.7% |
| PostTrainBench | 28.6% | 35% |
| GBAEval | 43.8% | 79.6% |
| GDP.pdf | 21% | 24% |
| Vending-Bench 2 | 10,937 | 11,182 |
| Terminal-Bench | 80.2% | — |
| BALROG | — | 63.4% |
| ExploitBench | 26.5% | — |
| LMArena Search | 1233 | — |
Reasoning Claude Opus 5 leads
Claude Opus 4.7: 53.8 (#29), Claude Opus 5: 77.2 (#4)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| ARC-AGI-2 | 75.8% | 90.4% |
| SimpleBench | 61.7% | 80.6% |
| NYT Connections (extended) | 39% | 94.3% |
| ARC-AGI-1 | 93.5% | 97.5% |
| CritPt | 12% | 29.1% |
| Chess Puzzles | 30% | 42% |
| EBR-Bench | 19% | 45.7% |
| LMArena Hard Prompts | 1506 | 1526 |
| Mystery Game Puzzles | 28% | 59% |
| DTBench | 94.7% | 97.9% |
| LMCA | 52.2% | 64.5% |
| Epoch Capabilities Index | 156.25 | 162.78 |
| Kagi LLM Benchmark | 80.7% | — |
| Thematic Generalization | 72.8% | — |
| Bench to the Future 3 | — | 0.12 |
| ForecastBench | 60.3 | — |
Math Claude Opus 5 leads
Claude Opus 4.7: 66.7 (#26), Claude Opus 5: 86.2 (#8)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 70.2% | 85.6% |
| FrontierMath Tier 4 | 31.7% | 73.2% |
| OTIS Mock AIME 2024-2025 | 97.8% | 98.9% |
| ProofBench | 54% | 99% |
| LMArena Math | 1499 | 1531 |
| MathArena Final-Answer Competitions | 73.6% | — |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Claude Opus 5 leads
Claude Opus 4.7: 62.6 (#23), Claude Opus 5: 66.8 (#9)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| GPQA Diamond | 90.2% | 93.9% |
| SimpleQA Verified | 51.7% | 59.9% |
| LMArena Expert | 1521 | 1557 |
| Humanity's Last Exam | 36.2% | — |
| Vectara Hallucination Rate | 12% | — |
Multimodal Claude Opus 5 leads
Claude Opus 4.7: 41.2 (#38), Claude Opus 5: 50.8 (#8)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| LMArena Vision | 1316 | 1319 |
| Blueprint-Bench 2 | 24.5% | 30.4% |
| Furniture Assembly | 33.3% | 60.8% |
| LMArena Document | 1495 | 1516 |
Multilingual Claude Opus 5 leads
Claude Opus 4.7: 57.3 (#10), Claude Opus 5: 58.8 (#4)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| LMArena Non-English | 1480 | 1501 |
| LMArena Chinese | 1531 | 1574 |
| LMArena French | 1503 | 1519 |
| LMArena German | 1495 | 1524 |
| LMArena Japanese | 1472 | 1516 |
| LMArena Korean | 1464 | 1521 |
| LMArena Russian | 1494 | 1507 |
| LMArena Spanish | 1495 | 1519 |
Instruction Following Too close to call
Claude Opus 4.7: 78.4 (#10), Claude Opus 5: 79.2 (#7)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| LMArena Instruction Following | 1498 | 1517 |
Long Context Too close to call
Claude Opus 4.7: 46.2 (#25), Claude Opus 5: 46.5 (#21)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| LMArena Longer Query | 1505 | 1515 |
Writing & Preference Claude Opus 5 leads
Claude Opus 4.7: 75.1 (#8), Claude Opus 5: 79.2 (#1)
| Benchmark | Claude Opus 4.7 | Claude Opus 5 |
|---|---|---|
| LMArena Text | 1490 | 1507 |
| LMArena Creative Writing | 1486 | 1491 |
| EQ-Bench Creative Writing | 1914 | 2133 |
| EQ-Bench 4 | 1311 | 1385 |
| LMArena Multi-Turn | 1505 | 1499 |
Frequently asked questions
Is Claude Opus 4.7 better than Claude Opus 5?
Claude Opus 5 is the stronger model overall, scoring 67.8 to 58.3 on the Noometry Index.
Which is cheaper, Claude Opus 4.7 or Claude Opus 5?
Claude Opus 5 is cheaper. It lists at $5 per million input tokens and $25 per million output tokens; Claude Opus 4.7 lists at $5 and $25.
Is Claude Opus 4.7 or Claude Opus 5 better for coding?
Claude Opus 5 scores higher on coding benchmarks: 67.5 versus 59.6 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do Claude Opus 4.7 and Claude Opus 5 share?
52 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Claude Opus 5 has 57.