Model comparison
Claude Opus 4.5 vs Claude Opus 4.7
Head-to-head evidence from 17 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Claude Opus 4.5 #19; Claude Opus 4.7 unranked
BenchAlign evidence: Claude Opus 4.5 supported; Claude Opus 4.7 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.5 and Claude Opus 4.7 share 17 comparable benchmark results. 1 of 8 categories are comparable. 43 results are unique to Claude Opus 4.5; 5 to Claude Opus 4.7.
Updated July 15, 2026- Shared results
- 17
- Claude Opus 4.5 only
- 43
- Claude Opus 4.7 only
- 5
- Comparable categories
- 1 / 8
Pick Claude Opus 4.5 if you want the stronger benchmark profile. Claude Opus 4.7 only becomes the better choice if you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 7 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Opus 4.5 has the cleaner provisional overall profile here, landing at 71 versus 69. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Opus 4.5's sharpest advantage is in mathematics, where it averages 57.5 against 38.6. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 20.690% to 43.793%.
Claude Opus 4.7 gives you the larger context window at 1M, compared with 200K for Claude Opus 4.5.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Opus 4.5 | Δ | Claude Opus 4.7 |
|---|---|---|---|
| Math | Claude Opus 4.557.5 | Margin← 18.9 | Claude Opus 4.738.6 |
| Agentic | Claude Opus 4.562.6 | MarginNo overlap | Claude Opus 4.7Not measured |
| Coding | Claude Opus 4.571.7 | MarginNo overlap | Claude Opus 4.7Not measured |
| Reasoning | Claude Opus 4.564.4 | MarginNo overlap | Claude Opus 4.7Not measured |
| Knowledge | Claude Opus 4.558.5 | MarginNo overlap | Claude Opus 4.7Not measured |
| Multilingual | Claude Opus 4.585.7 | MarginNo overlap | Claude Opus 4.7Not measured |
| Multimodal | Claude Opus 4.569.9 | MarginNo overlap | Claude Opus 4.7Not measured |
| Inst. Following | Claude Opus 4.569.5 | MarginNo overlap | Claude Opus 4.7Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 20.690%B 43.793%Winner: Claude Opus 4.7Δ 23.1FrontierMath v2 (Tiers 1-3): Claude Opus 4.5 scored 20.690%; Claude Opus 4.7 scored 43.793%. Claude Opus 4.7 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 4.167%B 22.917%Winner: Claude Opus 4.7Δ 18.8FrontierMath v2 (Tier 4): Claude Opus 4.5 scored 4.167%; Claude Opus 4.7 scored 22.917%. Claude Opus 4.7 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.5 | Claude Opus 4.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.5$5 input / $25 output | Claude Opus 4.7$5 input / $25 output | Listed prices are equal. |
| Generation speedtokens per second | Claude Opus 4.546 tok/s | Claude Opus 4.7Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.51.01 s | Claude Opus 4.7Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.5200K | Claude Opus 4.71M | Claude Opus 4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | Claude Opus 4.5 | Claude Opus 4.7 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.3% | — | Not comparable |
| OSWorld-VerifiedSource | 66.3% | — | Not comparable |
| OSWorldSource | 66.3% | — | Not comparable |
| Claw-EvalSource | 59.6% | — | Not comparable |
| QwenClawBenchSource | 52.3% | — | Not comparable |
| τ³-bench resultsSource | 70.2% | — | Not comparable |
| VITA-BenchSource | 23.3% | — | Not comparable |
| DeepPlanningSource | 26.4% | — | Not comparable |
| ToolathlonSource | 43.5% | — | Not comparable |
| MCP AtlasSource | 42.3% | — | Not comparable |
| MCP-TasksSource | 71.8% | — | Not comparable |
| WideResearchSource | 76.4% | — | Not comparable |
| CyberGymSource | 50.6% | — | Not comparable |
| τ²-bench resultsSource | 86.3% | 74% | Claude Opus 4.5 leads |
| Gert LabsSource | 64.23% | 65.59% | Claude Opus 4.7 leads |
| JobBenchSource | 32.3% | — | Not comparable |
| ResearchClawBenchSource | — | 20.7% | Not comparable |
| OSWorld 2.0Source | — | 13.9% | Not comparable |
Coding10 benchmarks
| Benchmark | Claude Opus 4.5 | Claude Opus 4.7 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.9% | — | Not comparable |
| LiveCodeBench v6Source | 84.8% | — | Not comparable |
| SWE-bench ProSource | 57.1% | — | Not comparable |
| SWE MultilingualSource | 77.5% | — | Not comparable |
| NL2RepoSource | 43.2% | — | Not comparable |
| Terminal-Bench HardSource | 40.9% | 54.5% | Claude Opus 4.7 leads |
| AA-SciCodeSource | 47.0% | 50.1% | Claude Opus 4.7 leads |
| Vibe Code BenchSource | — | 71.00% | Not comparable |
| React Native EvalsSource | — | 82.8% | Not comparable |
| FrontierCodeSource | — | 38.5% | Not comparable |
Reasoning4 benchmarks
Knowledge13 benchmarks
| Benchmark | Claude Opus 4.5 | Claude Opus 4.7 | Result |
|---|---|---|---|
| GPQASource | 87% | — | Not comparable |
| SuperGPQASource | 70.6% | — | Not comparable |
| MMLU-ProSource | 89.5% | — | Not comparable |
| MMLU-ReduxSource | 96.6% | — | Not comparable |
| C-EvalSource | 92.2% | — | Not comparable |
| HLESource | 30.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 34.7% | 42.7% | Claude Opus 4.7 leads |
| AA-GPQA DiamondSource | 81.0% | 88.5% | Claude Opus 4.7 leads |
| AA-HLESource | 12.9% | 31.2% | Claude Opus 4.7 leads |
| AA-Omniscience IndexSource | -3.9% | 14.2% | Claude Opus 4.7 leads |
| AA-Omniscience AccuracySource | 40.7% | 43.5% | Claude Opus 4.7 leads |
| AA-Omniscience Hallucination RateSource | 75.4% | 51.9% | Claude Opus 4.7 leads |
| AA MMLU-ProSource | 88.9% | — | Not comparable |
MathClaude Opus 4.5 wins7 benchmarks
| Benchmark | Claude Opus 4.5 | Claude Opus 4.7 | Result |
|---|---|---|---|
| AIME26Source | 95.1% | — | Not comparable |
| HMMT Feb 2025Source | 92.9% | — | Not comparable |
| HMMT Nov 2025Source | 93.3% | — | Not comparable |
| HMMT Feb 2026Source | 85.3% | — | Not comparable |
| MMAnswerBenchSource | 84.0% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 20.690% | 43.793% | Claude Opus 4.7 leads |
| FrontierMath v2 (Tier 4)Source | 4.167% | 22.917% | Claude Opus 4.7 leads |
Multilingual2 benchmarks
Multimodal8 benchmarks
| Benchmark | Claude Opus 4.5 | Claude Opus 4.7 | Result |
|---|---|---|---|
| MMMU-ProSource | 70.6% | — | Not comparable |
| MathVisionSource | 74.3% | — | Not comparable |
| CharXivSource | 68.5% | — | Not comparable |
| VideoMMMUSource | 84.4% | — | Not comparable |
| ScreenSpot ProSource | 45.7% | — | Not comparable |
| V*Source | 67.0% | — | Not comparable |
| AA-MMMU-ProSource | 71.2% | 76.4% | Claude Opus 4.7 leads |
| Design Arena WebsiteSource | 1281 | 1328 | Claude Opus 4.7 leads |
Frequently Asked Questions (2)
Which is better, Claude Opus 4.5 or Claude Opus 4.7?
Claude Opus 4.5 is ahead on BenchLM's provisional leaderboard, 71 to 69. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 20.690% and 43.793%.
Which is better for math, Claude Opus 4.5 or Claude Opus 4.7?
Claude Opus 4.5 has the edge for math in this comparison, averaging 57.5 versus 38.6. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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