Model comparison
Claude 4.1 Opus Thinking vs GPT-5.6 Sol
Head-to-head evidence from 9 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 4.1 Opus Thinking #184 (Supported); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 4.1 Opus Thinking and GPT-5.6 Sol share 9 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Claude 4.1 Opus Thinking; 37 to GPT-5.6 Sol.
Updated July 23, 2026- Shared results
- 9
- Claude 4.1 Opus Thinking only
- 0
- GPT-5.6 Sol only
- 37
- Comparable categories
- 0 / 8
Benchmark data for Claude 4.1 Opus Thinking and GPT-5.6 Sol is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 9 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.
GPT-5.6 Sol has the larger context window at 1M, compared with 200K for Claude 4.1 Opus 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 4.1 Opus Thinking | Δ | GPT-5.6 Sol |
|---|---|---|---|
| Agentic | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | GPT-5.6 Sol92.0 |
| Coding | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | GPT-5.6 Sol64.6 |
| Knowledge | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | GPT-5.6 Sol94.6 |
| Math | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | GPT-5.6 Sol87.5 |
| Multimodal | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | GPT-5.6 Sol83.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 4.1 Opus Thinking | GPT-5.6 Sol | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 4.1 Opus ThinkingNot available | GPT-5.6 Sol$5 input / $30 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude 4.1 Opus Thinking29 tok/s | GPT-5.6 SolNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude 4.1 Opus Thinking15.00 s | GPT-5.6 SolNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude 4.1 Opus Thinking200K | GPT-5.6 Sol1M | GPT-5.6 Sol lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | GPT-5.6 Sol | Result |
|---|---|---|---|
| τ²-bench resultsSource | 71.4% | 85.1% | GPT-5.6 Sol leads |
| Terminal-Bench 2.0Source | — | 91.9% | Not comparable |
| BrowseCompSource | — | 92.2% | Not comparable |
| OSWorld 2.0Source | — | 62.6% | Not comparable |
| CyberGymSource | — | 84.5% | Not comparable |
| ExploitGymSource | — | 33.7% | Not comparable |
| ToolathlonSource | — | 58% | Not comparable |
| AA Agentic IndexSource | — | 54.0% | Not comparable |
| GDPval-AASource | — | 61.8% | Not comparable |
| GDPval-AASource | — | 1736 | Not comparable |
| AA BriefcaseSource | — | 1501 | Not comparable |
| AA ITBenchSource | — | 56.2% | Not comparable |
| AA Tau3 BankingSource | — | 33.0% | Not comparable |
| AA AutomationBenchSource | — | 51.2% | Not comparable |
| AA Harvey LABSource | — | 87.2% | Not comparable |
| terminalBenchHardSource | — | 65.9% | Not comparable |
| aaTerminalBench21Source | — | 88% | Not comparable |
Coding8 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | GPT-5.6 Sol | Result |
|---|---|---|---|
| AA-SciCodeSource | 40.9% | 56.1% | GPT-5.6 Sol leads |
| SWE-bench ProSource | — | 64.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 91.9% | Not comparable |
| deepSweSource | — | 72.7% | Not comparable |
| FrontierCode 1.1 ExtendedSource | — | 60.6% | Not comparable |
| cursorBench32Source | — | 67.2% | Not comparable |
| VulcanBench v3Source | — | 87.0% | Not comparable |
| AA Coding IndexSource | — | 77.4% | Not comparable |
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | GPT-5.6 Sol | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 33.7% | 58.9% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 80.9% | 94.1% | GPT-5.6 Sol leads |
| AA-HLESource | 11.9% | 47.2% | GPT-5.6 Sol leads |
| GPQASource | — | 94.6% | Not comparable |
| GPQA-DSource | — | 94.6% | Not comparable |
| HealthBench ProfessionalSource | — | 60.5% | Not comparable |
| HealthBench HardSource | — | 33.1% | Not comparable |
| AA-Omniscience IndexSource | — | 21.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 58.5% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 88.8% | Not comparable |
Math3 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | GPT-5.6 Sol | Result |
|---|---|---|---|
| AA-IFBenchSource | 55.4% | 72.7% | GPT-5.6 Sol leads |
Frequently Asked Questions (3)
Can I compare Claude 4.1 Opus Thinking and GPT-5.6 Sol 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 4.1 Opus Thinking and GPT-5.6 Sol today?
Claude 4.1 Opus Thinking: Pricing unavailable GPT-5.6 Sol: $5.00 input / $30.00 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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