Model comparison
GPT-5.6 Sol vs ZAYA1-74B-Preview
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use BenchLM's provisional ranking lane.
Evidence parity. GPT-5.6 Sol and ZAYA1-74B-Preview share 2 comparable benchmark results. 3 of 8 categories are comparable. 42 results are unique to GPT-5.6 Sol; 5 to ZAYA1-74B-Preview.
Updated July 14, 2026- Shared results
- 2
- GPT-5.6 Sol only
- 42
- ZAYA1-74B-Preview only
- 5
- Comparable categories
- 3 / 8
Pick GPT-5.6 Sol if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 3 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 provisional aggregate, 86 to 56. 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 knowledge, where it averages 94.6 against 66.1. The single biggest benchmark swing on the page is GPQA, 94.6% to 57.3%.
GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for ZAYA1-74B-Preview. That is roughly Infinityx on output cost alone. GPT-5.6 Sol gives you the larger context window at 1M, compared with 256K for ZAYA1-74B-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 | ZAYA1-74B-Preview |
|---|---|---|---|
| Knowledge | GPT-5.6 Sol94.6 | Margin← 28.5 | ZAYA1-74B-Preview66.1 |
| Coding | GPT-5.6 Sol64.6 | Margin← 11.4 | ZAYA1-74B-Preview53.2 |
| Math | GPT-5.6 Sol87.5 | Margin← 11.1 | ZAYA1-74B-Preview76.4 |
| Agentic | GPT-5.6 Sol92.0 | MarginNo overlap | ZAYA1-74B-PreviewNot measured |
| Multimodal | GPT-5.6 Sol83.0 | MarginNo overlap | ZAYA1-74B-PreviewNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 94.6%B 57.3%Winner: GPT-5.6 SolΔ 37.3GPQA: GPT-5.6 Sol scored 94.6%; ZAYA1-74B-Preview scored 57.3%. 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-5.6 Sol | ZAYA1-74B-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | ZAYA1-74B-Preview$0 input / $0 output | ZAYA1-74B-Preview has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.6 SolNot available | ZAYA1-74B-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | ZAYA1-74B-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | ZAYA1-74B-Preview256K | GPT-5.6 Sol lists the larger context window. |
Benchmark Deep Dive
Agentic15 benchmarks
| Benchmark | GPT-5.6 Sol | ZAYA1-74B-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 |
| Tau2-TelecomSource | 85.1% | — | Not comparable |
| GDPval-AASource | 62.4% | — | Not comparable |
| GDPval-AASource | 1748 | — | Not comparable |
| AA BriefcaseSource | 1495 | — | Not comparable |
| AA ITBenchSource | 56.2% | — | Not comparable |
| AA Tau3 BankingSource | 33.0% | — | Not comparable |
| AA AutomationBenchSource | 51.2% | — | Not comparable |
| Tau2-AirlineSource | — | 56.1% | Not comparable |
CodingGPT-5.6 Sol wins11 benchmarks
| Benchmark | GPT-5.6 Sol | ZAYA1-74B-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 |
| AA Coding IndexSource | 77.4% | — | Not comparable |
| Terminal-Bench HardSource | 65.9% | — | Not comparable |
| AA-SciCodeSource | 56.1% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 88.0% | — | Not comparable |
| LiveCodeBench v6Source | — | 65.7% | Not comparable |
| SWE-bench VerifiedSource | — | 53.2% | Not comparable |
Reasoning4 benchmarks
KnowledgeGPT-5.6 Sol wins11 benchmarks
| Benchmark | GPT-5.6 Sol | ZAYA1-74B-Preview | Result |
|---|---|---|---|
| GPQASource | 94.6% | 57.3% | GPT-5.6 Sol leads |
| GPQA-DSource | 94.6% | 57.3% | GPT-5.6 Sol leads |
| 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 |
| MMLU-ProSource | — | 68.1% | Not comparable |
MathGPT-5.6 Sol wins4 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.6 Sol | ZAYA1-74B-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.7% | — | Not comparable |
Frequently Asked Questions (4)
Which is better, GPT-5.6 Sol or ZAYA1-74B-Preview?
GPT-5.6 Sol is ahead on BenchLM's provisional leaderboard, 86 to 56. The biggest single separator in this matchup is GPQA, where the scores are 94.6% and 57.3%.
Which is better for knowledge tasks, GPT-5.6 Sol or ZAYA1-74B-Preview?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 66.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.6 Sol or ZAYA1-74B-Preview?
GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 53.2. ZAYA1-74B-Preview stays close enough that the answer can still flip depending on your workload.
Which is better for math, GPT-5.6 Sol or ZAYA1-74B-Preview?
GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 76.4. ZAYA1-74B-Preview stays close enough that the answer can still flip depending on your workload.
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