Model comparison
GPT-5.6 Sol vs Trinity-Large-Preview
Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and Trinity-Large-Preview share 14 comparable benchmark results. 0 of 8 categories are comparable. 32 results are unique to GPT-5.6 Sol; 4 to Trinity-Large-Preview.
Updated July 23, 2026- Shared results
- 14
- GPT-5.6 Sol only
- 32
- Trinity-Large-Preview only
- 4
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.6 Sol and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
GPT-5.6 Sol is priced at $5.00 input / $30.00 output per 1M tokens, versus $0.25 input / $1.00 output per 1M tokens for Trinity-Large-Preview. GPT-5.6 Sol has the larger context window at 1M, compared with 512K for Trinity-Large-Preview.
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-5.6 Sol | Δ | Trinity-Large-Preview |
|---|---|---|---|
| Agentic | GPT-5.6 Sol92.0 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Coding | GPT-5.6 Sol64.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Knowledge | GPT-5.6 Sol94.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Math | GPT-5.6 Sol87.5 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Multimodal | GPT-5.6 Sol83.0 | MarginNo overlap | Trinity-Large-PreviewNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.6 Sol | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Preview has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.6 SolNot available | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | Trinity-Large-Preview512K | GPT-5.6 Sol lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | GPT-5.6 Sol | Trinity-Large-Preview | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 91.9% | — | Not comparable |
| 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 Agentic IndexSource | 54.0% | — | Not comparable |
| τ²-bench resultsSource | 85.1% | 90.1% | Trinity-Large-Preview leads |
| GDPval-AASource | 61.8% | 2.7% | GPT-5.6 Sol leads |
| GDPval-AASource | 1736 | 554 | GPT-5.6 Sol leads |
| 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 | GPT-5.6 Sol | Trinity-Large-Preview | 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% | 36.1% | GPT-5.6 Sol leads |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | GPT-5.6 Sol | Trinity-Large-Preview | Result |
|---|---|---|---|
| GPQASource | 94.6% | — | Not comparable |
| GPQA-DSource | 94.6% | 63.3% | GPT-5.6 Sol leads |
| HealthBench ProfessionalSource | 60.5% | — | Not comparable |
| HealthBench HardSource | 33.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 58.9% | 24.5% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 94.1% | 75.2% | GPT-5.6 Sol leads |
| AA-HLESource | 47.2% | 14.7% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 21.7% | -44.2% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 58.5% | 22.8% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 88.8% | 86.6% | Trinity-Large-Preview leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
Math4 benchmarks
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.6 Sol | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.7% | 56.3% | GPT-5.6 Sol leads |
Frequently Asked Questions (3)
Can I compare GPT-5.6 Sol and Trinity-Large-Preview on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5.6 Sol and Trinity-Large-Preview today?
GPT-5.6 Sol: $5.00 input / $30.00 output per 1M tokens Trinity-Large-Preview: $0.25 input / $1.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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