Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Kanana Essence
Coming soon
0/8 categoriesQwen3.5-122B-A10B
71
Winner · 0/8 categoriesKanana Essence· Qwen3.5-122B-A10B
Benchmark data for Kanana Essence and Qwen3.5-122B-A10B is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for Kanana Essence yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Qwen3.5-122B-A10B has the larger context window at 262K, compared with 64K for Kanana Essence.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | Kanana Essence | Qwen3.5-122B-A10B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 49.4% |
| BrowseComp | — | 63.8% |
| OSWorld-Verified | — | 58% |
| tau2-bench | — | 79.5% |
| Coding | ||
| SWE-bench Verified | — | 72% |
| LiveCodeBench | — | 78.9% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 76.9% |
| Reasoning | ||
| LongBench v2 | — | 60.2% |
| Knowledge | ||
| MMLU-Pro | — | 86.7% |
| SuperGPQA | — | 67.1% |
| GPQA | — | 86.6% |
| Instruction Following | ||
| IFEval | — | 93.4% |
| Multilingual | ||
| MMLU-ProX | — | 82.2% |
| Mathematics | ||
| Coming soon | ||
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still 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.
Qwen3.5-122B-A10B: $0.00 input / $0.00 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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