Model comparison
Qwen3.5-122B-A10B 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: Qwen3.5-122B-A10B #47 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.5-122B-A10B and Trinity-Large-Preview share 13 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Qwen3.5-122B-A10B; 5 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 13
- Qwen3.5-122B-A10B only
- 18
- Trinity-Large-Preview only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Qwen3.5-122B-A10B 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.
Trinity-Large-Preview is priced at $0.25 input / $1.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-122B-A10B. Trinity-Large-Preview has the larger context window at 512K, compared with 262K for Qwen3.5-122B-A10B.
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 | Qwen3.5-122B-A10B | Δ | Trinity-Large-Preview |
|---|---|---|---|
| Agentic | Qwen3.5-122B-A10B56.4 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Coding | Qwen3.5-122B-A10B72.0 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Reasoning | Qwen3.5-122B-A10B60.2 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Knowledge | Qwen3.5-122B-A10B83.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Multilingual | Qwen3.5-122B-A10B82.2 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Multimodal | Qwen3.5-122B-A10B77.2 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Inst. Following | Qwen3.5-122B-A10B93.4 | MarginNo overlap | Trinity-Large-PreviewNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.5-122B-A10B | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.5-122B-A10B$0 input / $0 output | Trinity-Large-Preview$0.25 input / $1 output | Qwen3.5-122B-A10B has the lower combined listed price. |
| Generation speedtokens per second | Qwen3.5-122B-A10BNot available | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.5-122B-A10BNot available | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.5-122B-A10B262K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Qwen3.5-122B-A10B | Trinity-Large-Preview | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 49.4% | — | Not comparable |
| BrowseCompSource | 63.8% | — | Not comparable |
| OSWorld-VerifiedSource | 58% | — | Not comparable |
| τ²-bench resultsSource | 93.6% | 90.1% | Qwen3.5-122B-A10B leads |
| AA Agentic IndexSource | 20.7% | — | Not comparable |
| GDPval-AASource | 23.9% | 2.7% | Qwen3.5-122B-A10B leads |
| GDPval-AASource | 978 | 554 | Qwen3.5-122B-A10B leads |
Coding3 benchmarks
Reasoning3 benchmarks
Knowledge12 benchmarks
| Benchmark | Qwen3.5-122B-A10B | Trinity-Large-Preview | Result |
|---|---|---|---|
| MMLU-ProSource | 86.7% | — | Not comparable |
| SuperGPQASource | 67.1% | — | Not comparable |
| GPQASource | 86.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 32.3% | 24.5% | Qwen3.5-122B-A10B leads |
| AA-GPQA DiamondSource | 85.7% | 75.2% | Qwen3.5-122B-A10B leads |
| AA-HLESource | 23.4% | 14.7% | Qwen3.5-122B-A10B leads |
| AA-Omniscience IndexSource | -39.6% | -44.2% | Qwen3.5-122B-A10B leads |
| AA-Omniscience AccuracySource | 24.7% | 22.8% | Qwen3.5-122B-A10B leads |
| AA-Omniscience Hallucination RateSource | 85.5% | 86.6% | Qwen3.5-122B-A10B leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
Math1 benchmarks
| Benchmark | Qwen3.5-122B-A10B | Trinity-Large-Preview | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 24.0% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Qwen3.5-122B-A10B | Trinity-Large-Preview | Result |
|---|---|---|---|
| MMLU-ProXSource | 82.2% | — | Not comparable |
Multimodal7 benchmarks
Frequently Asked Questions (3)
Can I compare Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B and Trinity-Large-Preview today?
Qwen3.5-122B-A10B: $0.00 input / $0.00 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.
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