Model comparison
Qwen3.7 Plus vs ZAYA1-8B
Head-to-head evidence from 9 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Qwen3.7 Plus #21 (Supported); ZAYA1-8B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.7 Plus and ZAYA1-8B share 9 comparable benchmark results. 3 of 8 categories are comparable. 60 results are unique to Qwen3.7 Plus; 2 to ZAYA1-8B.
Updated July 23, 2026- Shared results
- 9
- Qwen3.7 Plus only
- 60
- ZAYA1-8B only
- 2
- Comparable categories
- 3 / 8
Treat this as a split decision. Qwen3.7 Plus makes more sense if instruction following is the priority or you need the larger 1M context window; ZAYA1-8B is the better fit if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 4 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.7 Plus and ZAYA1-8B 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.
Qwen3.7 Plus gives you the larger context window at 1M, compared with 131K for ZAYA1-8B.
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 | Qwen3.7 Plus | Δ | ZAYA1-8B |
|---|---|---|---|
| Inst. Following | Qwen3.7 Plus84.5 | Margin← 20.4 | ZAYA1-8B64.1 |
| Knowledge | Qwen3.7 Plus60.1 | Margin→ 13.5 | ZAYA1-8B73.6 |
| Math | Qwen3.7 Plus92.9 | Margin← 12.5 | ZAYA1-8B80.4 |
| Agentic | Qwen3.7 Plus71.7 | MarginNo overlap | ZAYA1-8BNot measured |
| Coding | Qwen3.7 Plus75.6 | MarginNo overlap | ZAYA1-8BNot measured |
| Reasoning | Qwen3.7 Plus91.7 | MarginNo overlap | ZAYA1-8BNot measured |
| Multilingual | Qwen3.7 Plus85.4 | MarginNo overlap | ZAYA1-8BNot measured |
| Multimodal | Qwen3.7 Plus81.5 | MarginNo overlap | ZAYA1-8BNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
IFBench
Inst. FollowingA 79.1%B 52.6%Winner: Qwen3.7 PlusΔ 26.5IFBench: Qwen3.7 Plus scored 79.1%; ZAYA1-8B scored 52.6%. Qwen3.7 Plus wins this benchmark. - Source ↗
HMMT Feb 2026
MathA 92.9%B 71.6%Winner: Qwen3.7 PlusΔ 21.3HMMT Feb 2026: Qwen3.7 Plus scored 92.9%; ZAYA1-8B scored 71.6%. Qwen3.7 Plus wins this benchmark. - Source ↗
GPQA
KnowledgeA 90.3%B 71%Winner: Qwen3.7 PlusΔ 19.3GPQA: Qwen3.7 Plus scored 90.3%; ZAYA1-8B scored 71%. Qwen3.7 Plus wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 88.5%B 74.2%Winner: Qwen3.7 PlusΔ 14.3MMLU-Pro: Qwen3.7 Plus scored 88.5%; ZAYA1-8B scored 74.2%. Qwen3.7 Plus wins this benchmark. - Source ↗
IFEval
Inst. FollowingA 94.6%B 85.6%Winner: Qwen3.7 PlusΔ 9IFEval: Qwen3.7 Plus scored 94.6%; ZAYA1-8B scored 85.6%. Qwen3.7 Plus wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.7 Plus | ZAYA1-8B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.7 PlusNot available | ZAYA1-8B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3.7 PlusNot available | ZAYA1-8BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.7 PlusNot available | ZAYA1-8BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.7 Plus1M | ZAYA1-8B131K | Qwen3.7 Plus lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Qwen3.7 Plus | ZAYA1-8B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 70.3% | — | Not comparable |
| QwenClawBenchSource | 61.8% | — | Not comparable |
| QwenWebBenchSource | 1536 | — | Not comparable |
| Claw-EvalSource | 62.7% | — | Not comparable |
| BFCL v4Source | 72.9% | 39.2% | Qwen3.7 Plus leads |
| MCP AtlasSource | 73.2% | — | Not comparable |
| VITA-BenchSource | 45.6% | — | Not comparable |
| DeepPlanningSource | 62.3% | — | Not comparable |
| OSWorld-VerifiedSource | 73.3% | — | Not comparable |
| AndroidWorldSource | 81.0% | — | Not comparable |
| AA Agentic IndexSource | 20.8% | — | Not comparable |
| APEX-Agents-AASource | 22.4% | — | Not comparable |
| τ²-bench resultsSource | 93% | — | Not comparable |
| GDPval-AASource | 21.8% | — | Not comparable |
| GDPval-AASource | 936 | — | Not comparable |
| OSWorld 2.0Source | 2.8% | — | Not comparable |
Coding10 benchmarks
| Benchmark | Qwen3.7 Plus | ZAYA1-8B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 70.3% | — | Not comparable |
| SWE-bench VerifiedSource | 77.7% | — | Not comparable |
| SWE-bench ProSource | 57.6% | — | Not comparable |
| SWE MultilingualSource | 75.8% | — | Not comparable |
| NL2RepoSource | 41.1% | — | Not comparable |
| SciCodeSource | 51.3% | — | Not comparable |
| LiveCodeBenchSource | 89.6% | — | Not comparable |
| AA Coding IndexSource | 55.9% | — | Not comparable |
| AA-SciCodeSource | 45.5% | — | Not comparable |
| LiveCodeBench v6Source | — | 65.8% | Not comparable |
Reasoning3 benchmarks
KnowledgeZAYA1-8B wins13 benchmarks
| Benchmark | Qwen3.7 Plus | ZAYA1-8B | Result |
|---|---|---|---|
| GPQASource | 90.3% | 71% | Qwen3.7 Plus leads |
| GPQA-DSource | 90.3% | 71.0% | Qwen3.7 Plus leads |
| HLESource | 34.7% | — | Not comparable |
| MMLU-ProSource | 88.5% | 74.2% | Qwen3.7 Plus leads |
| MMLU-ReduxSource | 94.5% | — | Not comparable |
| SuperGPQASource | 71.4% | — | Not comparable |
| MMMLUSource | 89.0% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 39.0% | — | Not comparable |
| AA-GPQA DiamondSource | 90.0% | — | Not comparable |
| AA-HLESource | 33.4% | — | Not comparable |
| AA-Omniscience IndexSource | 2.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 22.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 25.5% | — | Not comparable |
MathQwen3.7 Plus wins4 benchmarks
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | Qwen3.7 Plus | ZAYA1-8B | Result |
|---|---|---|---|
| MMMU-ProSource | 79% | — | Not comparable |
| MathVisionSource | 90.3% | — | Not comparable |
| CharXivSource | 85.9% | — | Not comparable |
| ERQASource | 69.8% | — | Not comparable |
| MedXpertQA (MM)Source | 71.0% | — | Not comparable |
| ScreenSpot ProSource | 79.0% | — | Not comparable |
| SimpleVQASource | 81.7% | — | Not comparable |
| MMSearch-PlusSource | 41.4% | — | Not comparable |
| RealWorldQASource | 86.9% | — | Not comparable |
| OmniDocBench 1.5Source | 91.4% | — | Not comparable |
| OCRBench V2Source | 70.7% | — | Not comparable |
| ODINW13Source | 51.1% | — | Not comparable |
| Video-MME (with subtitle)Source | 88.0% | — | Not comparable |
| VideoMMMUSource | 85.4% | — | Not comparable |
| MLVU (M-Avg)Source | 87.4% | — | Not comparable |
| AA-MMMU-ProSource | 80.5% | — | Not comparable |
| Design Arena WebsiteSource | 1288 | — | Not comparable |
Frequently Asked Questions (4)
Which is better, Qwen3.7 Plus or ZAYA1-8B?
Qwen3.7 Plus and ZAYA1-8B 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, Qwen3.7 Plus or ZAYA1-8B?
ZAYA1-8B has the edge for knowledge tasks in this comparison, averaging 73.6 versus 60.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for math, Qwen3.7 Plus or ZAYA1-8B?
Qwen3.7 Plus has the edge for math in this comparison, averaging 92.9 versus 80.4. Inside this category, IMOAnswerBench is the benchmark that creates the most daylight between them.
Which is better for instruction following, Qwen3.7 Plus or ZAYA1-8B?
Qwen3.7 Plus has the edge for instruction following in this comparison, averaging 84.5 versus 64.1. Inside this category, IFBench is the benchmark that creates the most daylight between them.
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