Model comparison
Kimi K2 vs Trinity-Large-Preview
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2 #189 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2 and Trinity-Large-Preview share 12 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Kimi K2; 6 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 12
- Kimi K2 only
- 2
- Trinity-Large-Preview only
- 6
- Comparable categories
- 0 / 8
Benchmark data for Kimi K2 and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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.
Kimi K2 is priced at $0.60 input / $2.50 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 Kimi K2.
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 | Kimi K2 | Δ | Trinity-Large-Preview |
|---|---|---|---|
| Math | Kimi K216.1 | MarginNo overlap | Trinity-Large-PreviewNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2 | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2$0.6 input / $2.5 output | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Preview has the lower combined listed price. |
| Generation speedtokens per second | Kimi K243 tok/s | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K21.51 s | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2128K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding1 benchmarks
| Benchmark | Kimi K2 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-SciCodeSource | 34.5% | 36.1% | Trinity-Large-Preview leads |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Kimi K2 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.4% | 24.5% | Trinity-Large-Preview leads |
| AA-GPQA DiamondSource | 76.6% | 75.2% | Kimi K2 leads |
| AA-HLESource | 7.0% | 14.7% | Trinity-Large-Preview leads |
| AA-Omniscience IndexSource | -27.5% | -44.2% | Kimi K2 leads |
| AA-Omniscience AccuracySource | 26.8% | 22.8% | Kimi K2 leads |
| AA-Omniscience Hallucination RateSource | 74.2% | 86.6% | Kimi K2 leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | Kimi K2 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1080 | 1165 | Trinity-Large-Preview leads |
Inst. Following1 benchmarks
| Benchmark | Kimi K2 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.5% | 56.3% | Trinity-Large-Preview leads |
Frequently Asked Questions (3)
Can I compare Kimi K2 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 Kimi K2 and Trinity-Large-Preview today?
Kimi K2: $0.60 input / $2.50 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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