Model comparison
Qwen3.6-35B-A3B vs Trinity-Large-Thinking
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Qwen3.6-35B-A3B #31; Trinity-Large-Thinking unranked
BenchAlign evidence: Qwen3.6-35B-A3B estimated; Trinity-Large-Thinking supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.6-35B-A3B and Trinity-Large-Thinking share 15 comparable benchmark results. 0 of 8 categories are comparable. 43 results are unique to Qwen3.6-35B-A3B; 5 to Trinity-Large-Thinking.
Updated July 15, 2026- Shared results
- 15
- Qwen3.6-35B-A3B only
- 43
- Trinity-Large-Thinking only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Qwen3.6-35B-A3B and Trinity-Large-Thinking is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 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.
Trinity-Large-Thinking has the larger context window at 512K, compared with 262K for Qwen3.6-35B-A3B.
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 | Qwen3.6-35B-A3B | Δ | Trinity-Large-Thinking |
|---|---|---|---|
| Agentic | Qwen3.6-35B-A3B51.5 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Coding | Qwen3.6-35B-A3B73.8 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Knowledge | Qwen3.6-35B-A3B51.8 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Math | Qwen3.6-35B-A3B88.2 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Multimodal | Qwen3.6-35B-A3B76.3 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.6-35B-A3B | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.6-35B-A3BNot available | Trinity-Large-Thinking$0.25 input / $0.9 output | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3.6-35B-A3BNot available | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.6-35B-A3BNot available | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.6-35B-A3B262K | Trinity-Large-Thinking512K | Trinity-Large-Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic15 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 51.5% | — | Not comparable |
| Claw-EvalSource | 68.7% | — | Not comparable |
| QwenClawBenchSource | 52.6% | — | Not comparable |
| QwenWebBenchSource | 1397 | — | Not comparable |
| τ³-bench resultsSource | 67.2% | — | Not comparable |
| VITA-BenchSource | 35.6% | — | Not comparable |
| DeepPlanningSource | 25.9% | — | Not comparable |
| ToolathlonSource | 26.9% | — | Not comparable |
| MCP AtlasSource | 62.8% | — | Not comparable |
| WideResearchSource | 60.1% | — | Not comparable |
| AA Agentic IndexSource | 21.4% | — | Not comparable |
| τ²-bench resultsSource | 95.3% | 90.1% | Qwen3.6-35B-A3B leads |
| GDPval-AASource | 27.4% | 2.7% | Qwen3.6-35B-A3B leads |
| GDPval-AASource | 1049 | 554 | Qwen3.6-35B-A3B leads |
| Gert LabsSource | 42.65% | 32.55% | Qwen3.6-35B-A3B leads |
Coding10 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.4% | — | Not comparable |
| SWE MultilingualSource | 67.2% | — | Not comparable |
| SWE-bench ProSource | 49.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 51.5% | — | Not comparable |
| LiveCodeBenchSource | 80.4% | — | Not comparable |
| NL2RepoSource | 29.4% | — | Not comparable |
| AA Coding IndexSource | 41.9% | — | Not comparable |
| Terminal-Bench HardSource | 34.8% | 22.7% | Qwen3.6-35B-A3B leads |
| AA-SciCodeSource | 35.8% | 36.1% | Trinity-Large-Thinking leads |
| SWE-bench Verified*Source | — | 63.2% | Not comparable |
Reasoning2 benchmarks
Knowledge13 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| MMLU-ProSource | 85.2% | — | Not comparable |
| SuperGPQASource | 64.7% | — | Not comparable |
| C-EvalSource | 90% | — | Not comparable |
| GPQASource | 86% | — | Not comparable |
| HLESource | 21.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 31.6% | 24.5% | Qwen3.6-35B-A3B leads |
| AA-GPQA DiamondSource | 84.1% | 75.2% | Qwen3.6-35B-A3B leads |
| AA-HLESource | 20.2% | 14.7% | Qwen3.6-35B-A3B leads |
| AA-Omniscience IndexSource | -21.4% | -44.2% | Qwen3.6-35B-A3B leads |
| AA-Omniscience AccuracySource | 18.9% | 22.8% | Trinity-Large-Thinking leads |
| AA-Omniscience Hallucination RateSource | 49.7% | 86.6% | Qwen3.6-35B-A3B leads |
| GPQA-DSource | — | 76.3% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 83.4% | Not comparable |
Math6 benchmarks
Multimodal16 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| MMMUSource | 81.7% | — | Not comparable |
| MMMU-ProSource | 75.3% | — | Not comparable |
| RealWorldQASource | 85.3% | — | Not comparable |
| OmniDocBench 1.5Source | 89.9% | — | Not comparable |
| CharXivSource | 78% | — | Not comparable |
| SimpleVQASource | 58.9% | — | Not comparable |
| CC-OCRSource | 81.9% | — | Not comparable |
| AI2D_TESTSource | 92.7% | — | Not comparable |
| RefCOCO (avg)Source | 92.0% | — | Not comparable |
| ODINW13Source | 50.8% | — | Not comparable |
| Video-MME (with subtitle)Source | 86.6% | — | Not comparable |
| Video-MME (w/o subtitle)Source | 82.5% | — | Not comparable |
| VideoMMMUSource | 83.7% | — | Not comparable |
| MLVU (M-Avg)Source | 86.2% | — | Not comparable |
| AA-MMMU-ProSource | 75.0% | — | Not comparable |
| Design Arena WebsiteSource | — | 1169 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AA-IFBenchSource | 64.4% | 56.3% | Qwen3.6-35B-A3B leads |
Frequently Asked Questions (3)
Can I compare Qwen3.6-35B-A3B and Trinity-Large-Thinking 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 Qwen3.6-35B-A3B and Trinity-Large-Thinking today?
Trinity-Large-Thinking: $0.25 input / $0.90 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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