Model comparison
Claude Opus 4.5 Thinking vs Claude Opus 4.7 (Adaptive)
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.5 Thinking #69 (Estimated); Claude Opus 4.7 (Adaptive) #27 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.5 Thinking and Claude Opus 4.7 (Adaptive) share 13 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Claude Opus 4.5 Thinking; 25 to Claude Opus 4.7 (Adaptive).
Updated July 23, 2026- Shared results
- 13
- Claude Opus 4.5 Thinking only
- 3
- Claude Opus 4.7 (Adaptive) only
- 25
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.5 Thinking and Claude Opus 4.7 (Adaptive) is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude Opus 4.7 (Adaptive) has the larger context window at 1M, compared with 200K for Claude Opus 4.5 Thinking.
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 Thinking | Δ | Claude Opus 4.7 (Adaptive) |
|---|---|---|---|
| Agentic | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Claude Opus 4.7 (Adaptive)75.1 |
| Coding | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Claude Opus 4.7 (Adaptive)78.6 |
| Reasoning | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Claude Opus 4.7 (Adaptive)75.8 |
| Knowledge | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Claude Opus 4.7 (Adaptive)60.0 |
| Multimodal | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Claude Opus 4.7 (Adaptive)65.1 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.5 Thinking | Claude Opus 4.7 (Adaptive) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.5 ThinkingNot available | Claude Opus 4.7 (Adaptive)$5 input / $25 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.5 ThinkingNot available | Claude Opus 4.7 (Adaptive)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.5 ThinkingNot available | Claude Opus 4.7 (Adaptive)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.5 Thinking200K | Claude Opus 4.7 (Adaptive)1M | Claude Opus 4.7 (Adaptive) lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Claude Opus 4.7 (Adaptive) | Result |
|---|---|---|---|
| τ²-bench resultsSource | 89.5% | 88.6% | Claude Opus 4.5 Thinking leads |
| Terminal-Bench 2.0Source | — | 69.4% | Not comparable |
| BrowseCompSource | — | 79.3% | Not comparable |
| MCP AtlasSource | — | 77.3% | Not comparable |
| OSWorld-VerifiedSource | — | 78% | Not comparable |
| CyberGymSource | — | 73.1% | Not comparable |
| AA Agentic IndexSource | — | 44.4% | Not comparable |
| GDPval-AASource | — | 49.8% | Not comparable |
| GDPval-AASource | — | 1495 | Not comparable |
| OSWorld 2.0Source | — | 18.2% | Not comparable |
| JobBenchSource | — | 45.9% | Not comparable |
| AA ITBenchSource | — | 46.7% | Not comparable |
Coding6 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Claude Opus 4.7 (Adaptive) | Result |
|---|---|---|---|
| Vibe Code BenchSource | 20.63% | — | Not comparable |
| AA-SciCodeSource | 49.5% | 54.5% | Claude Opus 4.7 (Adaptive) leads |
| SWE-bench VerifiedSource | — | 87.6% | Not comparable |
| SWE-bench ProSource | — | 64.3% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.4% | Not comparable |
| AA Coding IndexSource | — | 73.6% | Not comparable |
Reasoning4 benchmarks
Knowledge11 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Claude Opus 4.7 (Adaptive) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.8% | 53.5% | Claude Opus 4.7 (Adaptive) leads |
| AA-GPQA DiamondSource | 86.6% | 91.4% | Claude Opus 4.7 (Adaptive) leads |
| AA-HLESource | 28.4% | 39.6% | Claude Opus 4.7 (Adaptive) leads |
| AA-Omniscience IndexSource | 13.3% | 26.2% | Claude Opus 4.7 (Adaptive) leads |
| AA-Omniscience AccuracySource | 45.7% | 45.8% | Claude Opus 4.7 (Adaptive) leads |
| AA-Omniscience Hallucination RateSource | 59.8% | 36.2% | Claude Opus 4.7 (Adaptive) leads |
| AA MMLU-ProSource | 89.5% | — | Not comparable |
| GPQASource | — | 94.2% | Not comparable |
| GPQA-DSource | — | 94.2% | Not comparable |
| HLESource | — | 54.7% | Not comparable |
| HLE w/o toolsSource | — | 46.9% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Claude Opus 4.7 (Adaptive) | Result |
|---|---|---|---|
| FrontierMath (legacy)Source | — | 43.8% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Claude Opus 4.7 (Adaptive) | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 91.3% | — | Not comparable |
Multimodal5 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Claude Opus 4.7 (Adaptive) | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 74.0% | 78.8% | Claude Opus 4.7 (Adaptive) leads |
| Design Arena WebsiteSource | 1277 | 1325 | Claude Opus 4.7 (Adaptive) leads |
| OfficeQA ProSource | — | 43.6% | Not comparable |
| CharXivSource | — | 91% | Not comparable |
| CharXiv w/o toolsSource | — | 82.1% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Claude Opus 4.7 (Adaptive) | Result |
|---|---|---|---|
| AA-IFBenchSource | 58.0% | 58.6% | Claude Opus 4.7 (Adaptive) leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.5 Thinking and Claude Opus 4.7 (Adaptive) on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Opus 4.5 Thinking and Claude Opus 4.7 (Adaptive) today?
Claude Opus 4.7 (Adaptive): $5.00 input / $25.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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