Model comparison
GPT-5.2 vs GPT-5.6 Sol
Head-to-head evidence from 17 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2 #64 (Estimated); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2 and GPT-5.6 Sol share 17 comparable benchmark results. 5 of 8 categories are comparable. 11 results are unique to GPT-5.2; 29 to GPT-5.6 Sol.
Updated July 23, 2026- Shared results
- 17
- GPT-5.2 only
- 11
- GPT-5.6 Sol only
- 29
- Comparable categories
- 5 / 8
Pick GPT-5.6 Sol if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 17 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 58.43. 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 35.2. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 18.800% to 83.000%. GPT-5.2 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2. That is roughly 2.1x on output cost alone. GPT-5.6 Sol gives you the larger context window at 1M, compared with 400K for GPT-5.2.
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-5.2 | Δ | GPT-5.6 Sol |
|---|---|---|---|
| Math | GPT-5.235.2 | Margin→ 52.3 | GPT-5.6 Sol87.5 |
| Agentic | GPT-5.255.7 | Margin→ 36.3 | GPT-5.6 Sol92.0 |
| Coding | GPT-5.270.6 | Margin← 6.0 | GPT-5.6 Sol64.6 |
| Multimodal | GPT-5.280.4 | Margin→ 2.6 | GPT-5.6 Sol83.0 |
| Knowledge | GPT-5.292.4 | Margin→ 2.2 | GPT-5.6 Sol94.6 |
| Reasoning | GPT-5.252.9 | 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 18.800%B 83.000%Winner: GPT-5.6 SolΔ 64.2FrontierMath v2 (Tier 4): GPT-5.2 scored 18.800%; GPT-5.6 Sol scored 83.000%. GPT-5.6 Sol wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 40.700%B 89.000%Winner: GPT-5.6 SolΔ 48.3FrontierMath v2 (Tiers 1-3): GPT-5.2 scored 40.700%; GPT-5.6 Sol scored 89.000%. GPT-5.6 Sol wins this benchmark. - Source ↗
BrowseComp
AgenticA 65.8%B 92.2%Winner: GPT-5.6 SolΔ 26.4BrowseComp: GPT-5.2 scored 65.8%; GPT-5.6 Sol scored 92.2%. GPT-5.6 Sol wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 55.6%B 64.6%Winner: GPT-5.6 SolΔ 9SWE-bench Pro: GPT-5.2 scored 55.6%; GPT-5.6 Sol scored 64.6%. GPT-5.6 Sol wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 79.5%B 83%Winner: GPT-5.6 SolΔ 3.5MMMU-Pro: GPT-5.2 scored 79.5%; GPT-5.6 Sol scored 83%. 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-5.2 | GPT-5.6 Sol | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2$1.75 input / $14 output | GPT-5.6 Sol$5 input / $30 output | GPT-5.2 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.273 tok/s | GPT-5.6 SolNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2130.34 s | GPT-5.6 SolNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2400K | GPT-5.6 Sol1M | GPT-5.6 Sol lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins20 benchmarks
| Benchmark | GPT-5.2 | GPT-5.6 Sol | Result |
|---|---|---|---|
| BrowseCompSource | 65.8% | 92.2% | GPT-5.6 Sol leads |
| OSWorld-VerifiedSource | 47.3% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | 85.1% | GPT-5.6 Sol leads |
| Gert LabsSource | 46.54% | — | Not comparable |
| JobBenchSource | 34.3% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 91.9% | 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 |
CodingGPT-5.2 wins10 benchmarks
| Benchmark | GPT-5.2 | GPT-5.6 Sol | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80% | — | Not comparable |
| SWE-bench ProSource | 55.6% | 64.6% | GPT-5.6 Sol leads |
| Vibe Code BenchSource | 53.50% | — | Not comparable |
| AA-SciCodeSource | 52.1% | 56.1% | GPT-5.6 Sol 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 |
| AA Coding IndexSource | — | 77.4% | Not comparable |
Reasoning5 benchmarks
KnowledgeGPT-5.6 Sol wins10 benchmarks
| Benchmark | GPT-5.2 | GPT-5.6 Sol | Result |
|---|---|---|---|
| GPQASource | 92.4% | 94.6% | GPT-5.6 Sol leads |
| Artificial Analysis Intelligence IndexSource | 42.2% | 58.9% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 90.3% | 94.1% | GPT-5.6 Sol leads |
| AA-HLESource | 35.4% | 47.2% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | -1.0% | 21.7% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 43.8% | 58.5% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 79.7% | 88.8% | GPT-5.2 leads |
| GPQA-DSource | — | 94.6% | Not comparable |
| HealthBench ProfessionalSource | — | 60.5% | Not comparable |
| HealthBench HardSource | — | 33.1% | Not comparable |
MathGPT-5.6 Sol wins4 benchmarks
MultimodalGPT-5.6 Sol wins7 benchmarks
| Benchmark | GPT-5.2 | GPT-5.6 Sol | Result |
|---|---|---|---|
| MMMU-ProSource | 79.5% | 83% | GPT-5.6 Sol leads |
| MathVisionSource | 83.0% | — | Not comparable |
| CharXivSource | 82.1% | — | Not comparable |
| V*Source | 75.9% | — | Not comparable |
| Design Arena WebsiteSource | 1224 | — | Not comparable |
| MMMU-Pro w/ PythonSource | — | 84.6% | Not comparable |
| AA-MMMU-ProSource | — | 83.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.2 | GPT-5.6 Sol | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.4% | 72.7% | GPT-5.2 leads |
Frequently Asked Questions (6)
Which is better, GPT-5.2 or GPT-5.6 Sol?
GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 58.43. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 18.800% and 83.000%.
Which is better for knowledge tasks, GPT-5.2 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 92.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.2 or GPT-5.6 Sol?
GPT-5.2 has the edge for coding in this comparison, averaging 70.6 versus 64.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.2 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 35.2. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.2 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 55.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.2 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 80.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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