Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Kimi K2
53
Winner · 0/8 categoriesTrinity-Large-Thinking
~0
0/8 categoriesKimi K2· Trinity-Large-Thinking
Benchmark data for Kimi K2 and Trinity-Large-Thinking is coming soon on BenchLM.
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 128K for Kimi K2.
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 | Kimi K2 | Trinity-Large-Thinking |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 47.1% | — |
| BrowseComp | 60.2% | — |
| Tau2-Telecom | 66.1% | 94.7% |
| Tau2-Airline | — | 88.0% |
| PinchBench | — | 91.9% |
| BFCL v4 | — | 70.1% |
| Coding | ||
| SWE-bench Verified | 65.8% | — |
| LiveCodeBench | 53.7% | — |
| SWE-bench Verified* | — | 63.2% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| hle | 44.9% | — |
| Knowledge | ||
| MMLU | 89.5% | — |
| GPQA | 75.1% | — |
| SuperGPQA | 57.2% | — |
| MMLU-Pro | 81.1% | — |
| SimpleQA | 31% | — |
| GPQA-D | — | 76.3% |
| MMLU-Pro (Arcee) | — | 83.4% |
| Instruction Following | ||
| IFEval | 89.8% | — |
| IFBench | — | 52.3% |
| Multilingual | ||
| sweMultilingual | 61.1% | — |
| Mathematics | ||
| AIME 2024 | 69.6% | — |
| AIME 2025 | 49.5% | — |
| MATH-500 | 97.4% | — |
| HMMT Feb 2025 | 38.8% | — |
| AIME25 (Arcee) | — | 96.3% |
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.
Kimi K2: Pricing unavailable 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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