Model comparison
Qwen3.6-27B vs Trinity-Large-Thinking
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: Qwen3.6-27B #93 (Estimated); Trinity-Large-Thinking #100 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.6-27B and Trinity-Large-Thinking share 14 comparable benchmark results. 0 of 8 categories are comparable. 40 results are unique to Qwen3.6-27B; 5 to Trinity-Large-Thinking.
Updated July 21, 2026- Shared results
- 14
- Qwen3.6-27B only
- 40
- Trinity-Large-Thinking only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Qwen3.6-27B and Trinity-Large-Thinking 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.
Trinity-Large-Thinking is priced at $0.25 input / $0.90 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.6-27B. Trinity-Large-Thinking has the larger context window at 512K, compared with 262K for Qwen3.6-27B.
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 | Qwen3.6-27B | Δ | Trinity-Large-Thinking |
|---|---|---|---|
| Agentic | Qwen3.6-27B59.3 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Coding | Qwen3.6-27B77.5 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Knowledge | Qwen3.6-27B53.3 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Math | Qwen3.6-27B89.2 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Multimodal | Qwen3.6-27B76.7 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.6-27B | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.6-27B$0 input / $0 output | Trinity-Large-Thinking$0.25 input / $0.9 output | Qwen3.6-27B has the lower combined listed price. |
| Generation speedtokens per second | Qwen3.6-27BNot available | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.6-27BNot available | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.6-27B262K | Trinity-Large-Thinking512K | Trinity-Large-Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Qwen3.6-27B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.3% | — | Not comparable |
| Claw-EvalSource | 72.4% | — | Not comparable |
| QwenClawBenchSource | 53.4% | — | Not comparable |
| QwenWebBenchSource | 1487 | — | Not comparable |
| AndroidWorldSource | 70.3% | — | Not comparable |
| AA Agentic IndexSource | 27.0% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | 90.1% | Qwen3.6-27B leads |
| GDPval-AASource | 32.0% | 2.7% | Qwen3.6-27B leads |
| GDPval-AASource | 1140 | 554 | Qwen3.6-27B leads |
| Gert LabsSource | 54.84% | 32.55% | Qwen3.6-27B leads |
Coding9 benchmarks
| Benchmark | Qwen3.6-27B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.2% | — | Not comparable |
| SWE MultilingualSource | 71.3% | — | Not comparable |
| SWE-bench ProSource | 53.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 59.3% | — | Not comparable |
| LiveCodeBenchSource | 83.9% | — | Not comparable |
| NL2RepoSource | 36.2% | — | Not comparable |
| AA Coding IndexSource | 53.7% | — | Not comparable |
| AA-SciCodeSource | 39.8% | 36.1% | Qwen3.6-27B leads |
| SWE-bench Verified*Source | — | 63.2% | Not comparable |
Reasoning2 benchmarks
Knowledge14 benchmarks
| Benchmark | Qwen3.6-27B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| MMLU-ProSource | 86.2% | — | Not comparable |
| MMLU-ReduxSource | 93.5% | — | Not comparable |
| SuperGPQASource | 66% | — | Not comparable |
| C-EvalSource | 91.4% | — | Not comparable |
| GPQASource | 87.8% | — | Not comparable |
| HLESource | 24% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.0% | 24.5% | Qwen3.6-27B leads |
| AA-GPQA DiamondSource | 84.2% | 75.2% | Qwen3.6-27B leads |
| AA-HLESource | 21.6% | 14.7% | Qwen3.6-27B leads |
| AA-Omniscience IndexSource | -19.8% | -44.2% | Qwen3.6-27B leads |
| AA-Omniscience AccuracySource | 19.2% | 22.8% | Trinity-Large-Thinking leads |
| AA-Omniscience Hallucination RateSource | 48.3% | 86.6% | Qwen3.6-27B leads |
| GPQA-DSource | — | 76.3% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 83.4% | Not comparable |
Math6 benchmarks
Multimodal17 benchmarks
| Benchmark | Qwen3.6-27B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| MMMUSource | 82.9% | — | Not comparable |
| MMMU-ProSource | 75.8% | — | Not comparable |
| RealWorldQASource | 84.1% | — | Not comparable |
| DynaMathSource | 85.6% | — | Not comparable |
| MStarSource | 81.4% | — | Not comparable |
| SimpleVQASource | 56.1% | — | Not comparable |
| CharXivSource | 78.4% | — | Not comparable |
| CC-OCRSource | 81.2% | — | Not comparable |
| CountBenchSource | 97.8% | — | Not comparable |
| RefCOCO (avg)Source | 92.5% | — | Not comparable |
| ERQASource | 62.5% | — | Not comparable |
| Video-MME (with subtitle)Source | 87.7% | — | Not comparable |
| VideoMMMUSource | 84.4% | — | Not comparable |
| MLVU (M-Avg)Source | 86.6% | — | Not comparable |
| V*Source | 94.7% | — | Not comparable |
| AA-MMMU-ProSource | 74.6% | — | Not comparable |
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Qwen3.6-27B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.6% | 56.3% | Qwen3.6-27B leads |
Frequently Asked Questions (3)
Can I compare Qwen3.6-27B 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 Qwen3.6-27B and Trinity-Large-Thinking today?
Qwen3.6-27B: $0.00 input / $0.00 output per 1M tokens 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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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