Model comparison
Qwen3.5 397B vs Trinity-Large-Preview
Head-to-head evidence from 13 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Qwen3.5 397B #71 (Estimated); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.5 397B and Trinity-Large-Preview share 13 comparable benchmark results. 0 of 8 categories are comparable. 42 results are unique to Qwen3.5 397B; 5 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 13
- Qwen3.5 397B only
- 42
- Trinity-Large-Preview only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Qwen3.5 397B and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 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.
Qwen3.5 397B is priced at $0.60 input / $3.60 output per 1M tokens, versus $0.25 input / $1.00 output per 1M tokens for Trinity-Large-Preview. Trinity-Large-Preview has the larger context window at 512K, compared with 128K for Qwen3.5 397B.
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 | Qwen3.5 397B | Δ | Trinity-Large-Preview |
|---|---|---|---|
| Agentic | Qwen3.5 397B56.5 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Coding | Qwen3.5 397B66.5 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Reasoning | Qwen3.5 397B63.2 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Knowledge | Qwen3.5 397B56.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Math | Qwen3.5 397B90.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Multilingual | Qwen3.5 397B84.7 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Multimodal | Qwen3.5 397B79.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Inst. Following | Qwen3.5 397B92.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.5 397B | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.5 397B$0.6 input / $3.6 output | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Preview has the lower combined listed price. |
| Generation speedtokens per second | Qwen3.5 397B96 tok/s | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.5 397B2.44 s | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.5 397B128K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | Qwen3.5 397B | Trinity-Large-Preview | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 52.5% | — | Not comparable |
| BrowseCompSource | 62% | — | Not comparable |
| Claw-EvalSource | 56.8% | — | Not comparable |
| QwenClawBenchSource | 51.8% | — | Not comparable |
| τ³-bench resultsSource | 68.4% | — | Not comparable |
| VITA-BenchSource | 43.7% | — | Not comparable |
| DeepPlanningSource | 37.6% | — | Not comparable |
| ToolathlonSource | 36.3% | — | Not comparable |
| MCP AtlasSource | 46.1% | — | Not comparable |
| MCP-TasksSource | 74.2% | — | Not comparable |
| WideResearchSource | 74.0% | — | Not comparable |
| τ²-bench resultsSource | 95.6% | 90.1% | Qwen3.5 397B leads |
| Gert LabsSource | 46.76% | — | Not comparable |
| ResearchClawBenchSource | 14.2% | — | Not comparable |
| AA Agentic IndexSource | 19.9% | — | Not comparable |
| APEX-Agents-AASource | 15.3% | — | Not comparable |
| GDPval-AASource | 23.1% | 2.7% | Qwen3.5 397B leads |
| GDPval-AASource | 962 | 554 | Qwen3.5 397B leads |
Coding5 benchmarks
Reasoning4 benchmarks
Knowledge15 benchmarks
| Benchmark | Qwen3.5 397B | Trinity-Large-Preview | Result |
|---|---|---|---|
| GPQASource | 88.4% | — | Not comparable |
| SuperGPQASource | 70.4% | — | Not comparable |
| MMLU-ProSource | 87.8% | — | Not comparable |
| MMLU-ReduxSource | 94.9% | — | Not comparable |
| C-EvalSource | 93% | — | Not comparable |
| HLESource | 28.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | 24.5% | Qwen3.5 397B leads |
| AA-GPQA DiamondSource | 89.3% | 75.2% | Qwen3.5 397B leads |
| AA-HLESource | 27.3% | 14.7% | Qwen3.5 397B leads |
| AA-Omniscience IndexSource | -29.8% | -44.2% | Qwen3.5 397B leads |
| AA-Omniscience AccuracySource | 31.4% | 22.8% | Qwen3.5 397B leads |
| AA-Omniscience Hallucination RateSource | 89.1% | 86.6% | Trinity-Large-Preview leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
Math6 benchmarks
Multilingual2 benchmarks
Multimodal8 benchmarks
| Benchmark | Qwen3.5 397B | Trinity-Large-Preview | Result |
|---|---|---|---|
| MMMU-ProSource | 79% | — | Not comparable |
| MathVisionSource | 88.6% | — | Not comparable |
| CharXivSource | 80.8% | — | Not comparable |
| VideoMMMUSource | 84.7% | — | Not comparable |
| ScreenSpot ProSource | 65.6% | — | Not comparable |
| V*Source | 95.8% | — | Not comparable |
| AA-MMMU-ProSource | 77.3% | — | Not comparable |
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Frequently Asked Questions (3)
Can I compare Qwen3.5 397B 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 Qwen3.5 397B and Trinity-Large-Preview today?
Qwen3.5 397B: $0.60 input / $3.60 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.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.