Model comparison
Claude Fable 5 vs GPT-5.6 Sol
Head-to-head evidence from 26 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Fable 5 #2 (Supported); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Fable 5 and GPT-5.6 Sol share 26 comparable benchmark results. 3 of 8 categories are comparable. 8 results are unique to Claude Fable 5; 20 to GPT-5.6 Sol.
Updated July 23, 2026- Shared results
- 26
- Claude Fable 5 only
- 8
- GPT-5.6 Sol only
- 20
- Comparable categories
- 3 / 8
Pick Claude Fable 5 if you want the stronger benchmark profile. GPT-5.6 Sol only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 26 shared benchmark results across 5 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Fable 5 has the cleaner BenchAlign overall profile here, landing at 83.68 versus 81.96. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Fable 5's sharpest advantage is in coding, where it averages 89.2 against 64.6. The single biggest benchmark swing on the page is SWE-bench Pro, 80% to 64.6%. GPT-5.6 Sol does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $5.00 input / $30.00 output per 1M tokens for GPT-5.6 Sol. Claude Fable 5 gives you the larger context window at 1M+, compared with 1M for GPT-5.6 Sol.
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 Fable 5 | Δ | GPT-5.6 Sol |
|---|---|---|---|
| Multimodal | Claude Fable 557.9 | Margin→ 25.1 | GPT-5.6 Sol83.0 |
| Coding | Claude Fable 589.2 | Margin← 24.6 | GPT-5.6 Sol64.6 |
| Agentic | Claude Fable 584.6 | Margin→ 7.4 | GPT-5.6 Sol92.0 |
| Knowledge | Claude Fable 5Not measured | MarginNo overlap | GPT-5.6 Sol94.6 |
| Math | Claude Fable 5Not measured | MarginNo overlap | GPT-5.6 Sol87.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Pro
CodingA 80%B 64.6%Winner: Claude Fable 5Δ 15.4SWE-bench Pro: Claude Fable 5 scored 80%; GPT-5.6 Sol scored 64.6%. Claude Fable 5 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 84.3%B 91.9%Winner: GPT-5.6 SolΔ 7.6Terminal-Bench 2.0: Claude Fable 5 scored 84.3%; GPT-5.6 Sol scored 91.9%. GPT-5.6 Sol wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Fable 5 | GPT-5.6 Sol | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Fable 5$10 input / $50 output | GPT-5.6 Sol$5 input / $30 output | GPT-5.6 Sol has the lower combined listed price. |
| Generation speedtokens per second | Claude Fable 5Not available | GPT-5.6 SolNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Fable 5Not available | GPT-5.6 SolNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Fable 51M+ | GPT-5.6 Sol1M | Claude Fable 5 lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins19 benchmarks
| Benchmark | Claude Fable 5 | GPT-5.6 Sol | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 84.3% | 91.9% | GPT-5.6 Sol leads |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| GDPval-AASource | 1748 | 1736 | Claude Fable 5 leads |
| AA Agentic IndexSource | 52.8% | 54.0% | GPT-5.6 Sol leads |
| τ²-bench resultsSource | 98.5% | 85.1% | Claude Fable 5 leads |
| GDPval-AASource | 62.4% | 61.8% | Claude Fable 5 leads |
| AA BriefcaseSource | 1574 | 1501 | Claude Fable 5 leads |
| AA AutomationBenchSource | 48.6% | 51.2% | GPT-5.6 Sol leads |
| AA EnterpriseOps-GymSource | 51.1% | — | Not comparable |
| AA Harvey LABSource | 93.6% | 87.2% | Claude Fable 5 leads |
| AA Tau3 BankingSource | 26.8% | 33.0% | GPT-5.6 Sol leads |
| terminalBenchHardSource | 62.9% | 65.9% | GPT-5.6 Sol leads |
| aaTerminalBench21Source | 84.6% | 88% | GPT-5.6 Sol leads |
| 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 ITBenchSource | — | 56.2% | Not comparable |
CodingClaude Fable 5 wins11 benchmarks
| Benchmark | Claude Fable 5 | GPT-5.6 Sol | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95% | — | Not comparable |
| SWE-bench ProSource | 80% | 64.6% | Claude Fable 5 leads |
| FrontierCode 1.1 MainSource | 53.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 84.3% | 91.9% | GPT-5.6 Sol leads |
| cursorBench31Source | 70.6% | — | Not comparable |
| cursorBench32Source | 70.5% | 67.2% | Claude Fable 5 leads |
| VulcanBench v3Source | 87.0% | 87.0% | Tie |
| AA Coding IndexSource | 76.5% | 77.4% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 60.2% | 56.1% | Claude Fable 5 leads |
| deepSweSource | — | 72.7% | Not comparable |
| FrontierCode 1.1 ExtendedSource | — | 60.6% | Not comparable |
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Fable 5 | GPT-5.6 Sol | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 59.9% | 58.9% | Claude Fable 5 leads |
| AA-GPQA DiamondSource | 92.6% | 94.1% | GPT-5.6 Sol leads |
| AA-HLESource | 53.3% | 47.2% | Claude Fable 5 leads |
| AA-Omniscience IndexSource | 40.2% | 21.7% | Claude Fable 5 leads |
| AA-Omniscience AccuracySource | 61.4% | 58.5% | Claude Fable 5 leads |
| AA-Omniscience Hallucination RateSource | 54.9% | 88.8% | Claude Fable 5 leads |
| GPQASource | — | 94.6% | Not comparable |
| GPQA-DSource | — | 94.6% | Not comparable |
| HealthBench ProfessionalSource | — | 60.5% | Not comparable |
| HealthBench HardSource | — | 33.1% | Not comparable |
Math3 benchmarks
MultimodalGPT-5.6 Sol wins6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Fable 5 | GPT-5.6 Sol | Result |
|---|---|---|---|
| AA-IFBenchSource | 63.5% | 72.7% | GPT-5.6 Sol leads |
Frequently Asked Questions (4)
Which is better, Claude Fable 5 or GPT-5.6 Sol?
Claude Fable 5 is ahead on BenchLM's BenchAlign leaderboard, 83.68 to 81.96. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 80% and 64.6%.
Which is better for coding, Claude Fable 5 or GPT-5.6 Sol?
Claude Fable 5 has the edge for coding in this comparison, averaging 89.2 versus 64.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Fable 5 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 84.6. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Fable 5 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 57.9. Claude Fable 5 stays close enough that the answer can still flip depending on your workload.
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