Model comparison
Agents-A1 vs GPT-5.6 Sol
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Agents-A1 unranked (Not scored); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Agents-A1 and GPT-5.6 Sol share 1 comparable benchmark result. 2 of 8 categories are comparable. 5 results are unique to Agents-A1; 45 to GPT-5.6 Sol.
Updated July 23, 2026- Shared results
- 1
- Agents-A1 only
- 5
- GPT-5.6 Sol only
- 45
- Comparable categories
- 2 / 8
Treat this as a split decision. Agents-A1 makes more sense if its workflow fits your team better; GPT-5.6 Sol is the better fit if knowledge is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Agents-A1 and GPT-5.6 Sol finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
GPT-5.6 Sol gives you the larger context window at 1M, compared with 262K for Agents-A1.
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 | Agents-A1 | Δ | GPT-5.6 Sol |
|---|---|---|---|
| Knowledge | Agents-A147.6 | Margin→ 47.0 | GPT-5.6 Sol94.6 |
| Agentic | Agents-A175.5 | Margin→ 16.5 | GPT-5.6 Sol92.0 |
| Coding | Agents-A1Not measured | MarginNo overlap | GPT-5.6 Sol64.6 |
| Reasoning | Agents-A160.2 | MarginNo overlap | GPT-5.6 SolNot measured |
| Math | Agents-A1Not measured | MarginNo overlap | GPT-5.6 Sol87.5 |
| Multimodal | Agents-A1Not measured | MarginNo overlap | GPT-5.6 Sol83.0 |
| Inst. Following | Agents-A194.8 | MarginNo overlap | GPT-5.6 SolNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
BrowseComp
AgenticA 75.5%B 92.2%Winner: GPT-5.6 SolΔ 16.7BrowseComp: Agents-A1 scored 75.5%; GPT-5.6 Sol scored 92.2%. 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 | Agents-A1 | GPT-5.6 Sol | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Agents-A1Not available | GPT-5.6 Sol$5 input / $30 output | A complete price comparison is not available. |
| Generation speedtokens per second | Agents-A1Not available | GPT-5.6 SolNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Agents-A1Not available | GPT-5.6 SolNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Agents-A1262K | GPT-5.6 Sol1M | GPT-5.6 Sol lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins19 benchmarks
| Benchmark | Agents-A1 | GPT-5.6 Sol | Result |
|---|---|---|---|
| BrowseCompSource | 75.5% | 92.2% | GPT-5.6 Sol leads |
| HLE w/ toolsSource | 47.6% | — | Not comparable |
| VITA-BenchSource | 38.8% | — | 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 |
| τ²-bench resultsSource | — | 85.1% | 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 | Agents-A1 | GPT-5.6 Sol | Result |
|---|---|---|---|
| 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 |
| AA-SciCodeSource | — | 56.1% | Not comparable |
Reasoning5 benchmarks
KnowledgeGPT-5.6 Sol wins11 benchmarks
| Benchmark | Agents-A1 | GPT-5.6 Sol | Result |
|---|---|---|---|
| HLESource | 47.6% | — | Not comparable |
| GPQASource | — | 94.6% | Not comparable |
| GPQA-DSource | — | 94.6% | Not comparable |
| HealthBench ProfessionalSource | — | 60.5% | Not comparable |
| HealthBench HardSource | — | 33.1% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 58.9% | Not comparable |
| AA-GPQA DiamondSource | — | 94.1% | Not comparable |
| AA-HLESource | — | 47.2% | 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
Frequently Asked Questions (3)
Which is better, Agents-A1 or GPT-5.6 Sol?
Agents-A1 and GPT-5.6 Sol are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Agents-A1 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 47.6. Agents-A1 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, Agents-A1 or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 75.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Related Comparisons
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.