Model comparison
GPT-5.5 vs GPT-5.6 Sol
Head-to-head evidence from 39 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.5 #9 (Estimated); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 and GPT-5.6 Sol share 39 comparable benchmark results. 5 of 8 categories are comparable. 18 results are unique to GPT-5.5; 7 to GPT-5.6 Sol.
Updated July 23, 2026- Shared results
- 39
- GPT-5.5 only
- 18
- GPT-5.6 Sol only
- 7
- Comparable categories
- 5 / 8
Pick GPT-5.6 Sol if you want the stronger benchmark profile. GPT-5.5 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 39 shared benchmark results across 7 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.6 Sol is clearly ahead on the BenchAlign aggregate, 81.96 to 73.51. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.6 Sol's sharpest advantage is in mathematics, where it averages 87.5 against 47.6. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 35.400% to 83.000%.
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 | GPT-5.5 | Δ | GPT-5.6 Sol |
|---|---|---|---|
| Math | GPT-5.547.6 | Margin→ 39.9 | GPT-5.6 Sol87.5 |
| Knowledge | GPT-5.557.8 | Margin→ 36.8 | GPT-5.6 Sol94.6 |
| Multimodal | GPT-5.570.4 | Margin→ 12.6 | GPT-5.6 Sol83.0 |
| Agentic | GPT-5.581.6 | Margin→ 10.4 | GPT-5.6 Sol92.0 |
| Coding | GPT-5.558.6 | Margin→ 6.0 | GPT-5.6 Sol64.6 |
| Reasoning | GPT-5.585.0 | MarginNo overlap | GPT-5.6 SolNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tier 4)
MathA 35.400%B 83.000%Winner: GPT-5.6 SolΔ 47.6FrontierMath v2 (Tier 4): GPT-5.5 scored 35.400%; GPT-5.6 Sol scored 83.000%. GPT-5.6 Sol wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 51.700%B 89.000%Winner: GPT-5.6 SolΔ 37.3FrontierMath v2 (Tiers 1-3): GPT-5.5 scored 51.700%; GPT-5.6 Sol scored 89.000%. GPT-5.6 Sol wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 82%B 91.9%Winner: GPT-5.6 SolΔ 9.9Terminal-Bench 2.0: GPT-5.5 scored 82%; GPT-5.6 Sol scored 91.9%. GPT-5.6 Sol wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.4%B 92.2%Winner: GPT-5.6 SolΔ 7.8BrowseComp: GPT-5.5 scored 84.4%; GPT-5.6 Sol scored 92.2%. GPT-5.6 Sol wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 58.6%B 64.6%Winner: GPT-5.6 SolΔ 6SWE-bench Pro: GPT-5.5 scored 58.6%; GPT-5.6 Sol scored 64.6%. 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 | GPT-5.5 | GPT-5.6 Sol | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5$5 input / $30 output | GPT-5.6 Sol$5 input / $30 output | Listed prices are equal. |
| Generation speedtokens per second | GPT-5.5Not available | GPT-5.6 SolNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5Not available | GPT-5.6 SolNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.51M | GPT-5.6 Sol1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins24 benchmarks
| Benchmark | GPT-5.5 | GPT-5.6 Sol | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 82% | 91.9% | GPT-5.6 Sol leads |
| CyberGymSource | 81.8% | 84.5% | GPT-5.6 Sol leads |
| BrowseCompSource | 84.4% | 92.2% | GPT-5.6 Sol leads |
| OSWorld-VerifiedSource | 78.7% | — | Not comparable |
| MCP AtlasSource | 75.3% | — | Not comparable |
| ToolathlonSource | 55.6% | 58% | GPT-5.6 Sol leads |
| τ²-bench resultsSource | 93.9% | 85.1% | GPT-5.5 leads |
| AA Agentic IndexSource | 44.9% | 54.0% | GPT-5.6 Sol leads |
| APEX-Agents-AASource | 37.7% | — | Not comparable |
| GDPval-AASource | 49.5% | 61.8% | GPT-5.6 Sol leads |
| GDPval-AASource | 1490 | 1736 | GPT-5.6 Sol leads |
| Gert LabsSource | 72.93% | — | Not comparable |
| ResearchClawBenchSource | 17.0% | — | Not comparable |
| OSWorld 2.0Source | 13.0% | 62.6% | GPT-5.6 Sol leads |
| JobBenchSource | 42.7% | — | Not comparable |
| ExploitGymSource | 13.4% | 33.7% | GPT-5.6 Sol leads |
| AA BriefcaseSource | 1154 | 1501 | GPT-5.6 Sol leads |
| AA AutomationBenchSource | 42.1% | 51.2% | GPT-5.6 Sol leads |
| AA EnterpriseOps-GymSource | 46.6% | — | Not comparable |
| AA Harvey LABSource | 86.3% | 87.2% | GPT-5.6 Sol leads |
| AA ITBenchSource | 45.8% | 56.2% | GPT-5.6 Sol leads |
| AA Tau3 BankingSource | 31.3% | 33.0% | GPT-5.6 Sol leads |
| terminalBenchHardSource | 60.6% | 65.9% | GPT-5.6 Sol leads |
| aaTerminalBench21Source | 84.3% | 88% | GPT-5.6 Sol leads |
CodingGPT-5.6 Sol wins12 benchmarks
| Benchmark | GPT-5.5 | GPT-5.6 Sol | Result |
|---|---|---|---|
| SWE-bench ProSource | 58.6% | 64.6% | GPT-5.6 Sol leads |
| Terminal-Bench 2.0Source | 82.0% | 91.9% | GPT-5.6 Sol leads |
| Vibe Code BenchSource | 69.85% | — | Not comparable |
| React Native EvalsSource | 84.7% | — | Not comparable |
| cursorBench31Source | 59.2% | — | Not comparable |
| cursorBench32Source | 58.4% | 67.2% | GPT-5.6 Sol leads |
| AA Coding IndexSource | 74.9% | 77.4% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 56.1% | 56.1% | Tie |
| FrontierCode 1.1 MainSource | 43.0% | — | Not comparable |
| deepSweSource | — | 72.7% | Not comparable |
| FrontierCode 1.1 ExtendedSource | — | 60.6% | Not comparable |
| VulcanBench v3Source | — | 87.0% | Not comparable |
Reasoning7 benchmarks
| Benchmark | GPT-5.5 | GPT-5.6 Sol | Result |
|---|---|---|---|
| MRCR v2 64K-128KSource | 83.1% | — | Not comparable |
| MRCR v2 128K-256KSource | 87.5% | — | Not comparable |
| ARC-AGI-2Source | 85% | — | Not comparable |
| AA-LCRSource | 74.3% | 73.7% | GPT-5.5 leads |
| CritPtSource | 27.1% | 32.3% | GPT-5.6 Sol leads |
| ARC-AGI-3Source | — | 7.8% | Not comparable |
| GeneBench-ProSource | — | 28.7% | Not comparable |
KnowledgeGPT-5.6 Sol wins12 benchmarks
| Benchmark | GPT-5.5 | GPT-5.6 Sol | Result |
|---|---|---|---|
| GPQASource | 93.6% | 94.6% | GPT-5.6 Sol leads |
| GPQA-DSource | 93.6% | 94.6% | GPT-5.6 Sol leads |
| HLESource | 52.2% | — | Not comparable |
| HLE w/o toolsSource | 41.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 54.8% | 58.9% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 93.5% | 94.1% | GPT-5.6 Sol leads |
| AA-HLESource | 44.3% | 47.2% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 20.1% | 21.7% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 56.9% | 58.5% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 85.5% | 88.8% | GPT-5.5 leads |
| HealthBench ProfessionalSource | — | 60.5% | Not comparable |
| HealthBench HardSource | — | 33.1% | Not comparable |
MathGPT-5.6 Sol wins3 benchmarks
MultimodalGPT-5.6 Sol wins5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.5 | GPT-5.6 Sol | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | 72.7% | GPT-5.5 leads |
Frequently Asked Questions (6)
Which is better, GPT-5.5 or GPT-5.6 Sol?
GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 73.51. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 35.400% and 83.000%.
Which is better for knowledge tasks, GPT-5.5 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 57.8. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.5 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 58.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.5 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 47.6. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.5 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 81.6. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.5 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 70.4. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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