Model comparison
GPT-5.4 vs GPT-5.6 Sol
Head-to-head evidence from 30 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 #8 (Supported); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 and GPT-5.6 Sol share 30 comparable benchmark results. 5 of 8 categories are comparable. 22 results are unique to GPT-5.4; 16 to GPT-5.6 Sol.
Updated July 23, 2026- Shared results
- 30
- GPT-5.4 only
- 22
- GPT-5.6 Sol only
- 16
- Comparable categories
- 5 / 8
Pick GPT-5.6 Sol if you want the stronger benchmark profile. GPT-5.4 only becomes the better choice if you want the cheaper token bill or you need the larger 1.05M context window.
Confidence note. This is a partial-evidence comparison with 30 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 74.24. 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 42.5. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 27.100% to 83.000%.
GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $2.50 input / $15.00 output per 1M tokens for GPT-5.4. That is roughly 2.0x on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, 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 | GPT-5.4 | Δ | GPT-5.6 Sol |
|---|---|---|---|
| Math | GPT-5.442.5 | Margin→ 45.0 | GPT-5.6 Sol87.5 |
| Knowledge | GPT-5.457.6 | Margin→ 37.0 | GPT-5.6 Sol94.6 |
| Agentic | GPT-5.477.2 | Margin→ 14.8 | GPT-5.6 Sol92.0 |
| Multimodal | GPT-5.473.2 | Margin→ 9.8 | GPT-5.6 Sol83.0 |
| Coding | GPT-5.457.7 | Margin→ 6.9 | GPT-5.6 Sol64.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tier 4)
MathA 27.100%B 83.000%Winner: GPT-5.6 SolΔ 55.9FrontierMath v2 (Tier 4): GPT-5.4 scored 27.100%; GPT-5.6 Sol scored 83.000%. GPT-5.6 Sol wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 47.600%B 89.000%Winner: GPT-5.6 SolΔ 41.4FrontierMath v2 (Tiers 1-3): GPT-5.4 scored 47.600%; GPT-5.6 Sol scored 89.000%. GPT-5.6 Sol wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 75.1%B 91.9%Winner: GPT-5.6 SolΔ 16.8Terminal-Bench 2.0: GPT-5.4 scored 75.1%; GPT-5.6 Sol scored 91.9%. GPT-5.6 Sol wins this benchmark. - Source ↗
BrowseComp
AgenticA 82.7%B 92.2%Winner: GPT-5.6 SolΔ 9.5BrowseComp: GPT-5.4 scored 82.7%; GPT-5.6 Sol scored 92.2%. GPT-5.6 Sol wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 57.7%B 64.6%Winner: GPT-5.6 SolΔ 6.9SWE-bench Pro: GPT-5.4 scored 57.7%; 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-5.4 | GPT-5.6 Sol | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4$2.5 input / $15 output | GPT-5.6 Sol$5 input / $30 output | GPT-5.4 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.474 tok/s | GPT-5.6 SolNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4151.79 s | GPT-5.6 SolNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.41.05M | GPT-5.6 Sol1M | GPT-5.4 lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins25 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Sol | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 75.1% | 91.9% | GPT-5.6 Sol leads |
| CyberGymSource | 79.0% | 84.5% | GPT-5.6 Sol leads |
| BrowseCompSource | 82.7% | 92.2% | GPT-5.6 Sol leads |
| OSWorld-VerifiedSource | 75% | — | Not comparable |
| MCP AtlasSource | 70.6% | — | Not comparable |
| ToolathlonSource | 54.6% | 58% | GPT-5.6 Sol leads |
| τ²-bench resultsSource | 87.1% | 85.1% | GPT-5.4 leads |
| Claw-EvalSource | 60.3% | — | Not comparable |
| DeepSearchQASource | 73.6% | — | Not comparable |
| AA Agentic IndexSource | 41.1% | 54.0% | GPT-5.6 Sol leads |
| APEX-Agents-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 44.7% | 61.8% | GPT-5.6 Sol leads |
| GDPval-AASource | 1395 | 1736 | GPT-5.6 Sol leads |
| Gert LabsSource | 64.89% | — | Not comparable |
| ResearchClawBenchSource | 15.3% | — | Not comparable |
| JobBenchSource | 38.9% | — | Not comparable |
| ExploitGymSource | 6.0% | 33.7% | GPT-5.6 Sol leads |
| OSWorld 2.0Source | — | 62.6% | 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 |
CodingGPT-5.6 Sol wins11 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Sol | Result |
|---|---|---|---|
| LiveCodeBench ProSource | 87.5% | — | Not comparable |
| SWE-bench ProSource | 57.7% | 64.6% | GPT-5.6 Sol leads |
| React Native EvalsSource | 85.3% | — | Not comparable |
| Vibe Code BenchSource | 67.42% | — | Not comparable |
| AA Coding IndexSource | 71.0% | 77.4% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 56.6% | 56.1% | GPT-5.4 leads |
| 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 |
Reasoning4 benchmarks
KnowledgeGPT-5.6 Sol wins13 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Sol | Result |
|---|---|---|---|
| GPQASource | 92.8% | 94.6% | GPT-5.6 Sol leads |
| HLESource | 52.1% | — | Not comparable |
| HLE w/o toolsSource | 39.8% | — | Not comparable |
| GPQA-DSource | 92.8% | 94.6% | GPT-5.6 Sol leads |
| HealthBench HardSource | 40.1% | 33.1% | GPT-5.4 leads |
| MedXpertQA (Text)Source | 59.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 51.4% | 58.9% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 92.0% | 94.1% | GPT-5.6 Sol leads |
| AA-HLESource | 41.6% | 47.2% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 5.7% | 21.7% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 50.0% | 58.5% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 88.8% | GPT-5.4 leads |
| HealthBench ProfessionalSource | 48.1% | 60.5% | GPT-5.6 Sol leads |
MathGPT-5.6 Sol wins3 benchmarks
MultimodalGPT-5.6 Sol wins11 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Sol | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | 83% | GPT-5.6 Sol leads |
| OfficeQA ProSource | 53.2% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 82.1% | 84.6% | GPT-5.6 Sol leads |
| CharXivSource | 82.8% | — | Not comparable |
| ERQASource | 65.4% | — | Not comparable |
| SimpleVQASource | 61.1% | — | Not comparable |
| ScreenSpot ProSource | 85.4% | — | Not comparable |
| ZeroBenchSource | 41.0% | — | Not comparable |
| MedXpertQA (MM)Source | 77.1% | — | Not comparable |
| AA-MMMU-ProSource | 78.4% | 83.4% | GPT-5.6 Sol leads |
| Design Arena WebsiteSource | 1250 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 | GPT-5.6 Sol | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | 72.7% | GPT-5.4 leads |
Frequently Asked Questions (6)
Which is better, GPT-5.4 or GPT-5.6 Sol?
GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 74.24. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 27.100% and 83.000%.
Which is better for knowledge tasks, GPT-5.4 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 57.6. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.4 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 57.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.4 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 42.5. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.4 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 77.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.4 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 73.2. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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