# Kimi K2 (Jul 2025) vs Trinity Large Thinking

> Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 38.1 on the Noometry Index. Trinity Large Thinking costs 2.6× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/kimi-k2-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 6 categories and Trinity Large Thinking in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where Kimi K2 (Jul 2025) leads 43.1 to 33.8.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 17.9% for Kimi K2 (Jul 2025) and 6.9% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).

## Snapshot

| | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| Provider | Moonshot AI | Arcee AI |
| Noometry Index | 40.9 | 38.1 |
| Rank | 134 | 180 |
| Context | 262K | 262K |
| Input $/M | $0.57 | $0.25 |
| Output $/M | $2.30 | $0.80 |
| Weights | Open | Open |

## Coding

- Kimi K2 (Jul 2025): 43.1 (#83)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1399 | 1381 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| ALE-Bench | 597.5 | — |

## Agentic & Tool Use

- Kimi K2 (Jul 2025): 32.2 (#59)
- Trinity Large Thinking: —

| Benchmark | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |

## Reasoning

- Kimi K2 (Jul 2025): 22.7 (#173)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1350 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 146.02 | — |
| ForecastBench | 60.2 | — |

## Math

- Kimi K2 (Jul 2025): 40.1 (#81)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1396 | 1366 |
| Omni-MATH | 65.4% | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- Kimi K2 (Jul 2025): 36.9 (#153)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 17.9% | 6.9% |
| LMArena Expert | 1363 | 1359 |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| GPQA (HELM) | 65.3% | — |

## Multilingual

- Kimi K2 (Jul 2025): 49.8 (#125)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1372 | 1325 |
| LMArena Chinese | 1416 | 1372 |
| LMArena French | 1379 | 1374 |
| LMArena German | 1386 | 1356 |
| LMArena Japanese | 1349 | 1312 |
| LMArena Korean | 1324 | 1304 |
| LMArena Russian | 1384 | 1338 |
| LMArena Spanish | 1383 | 1356 |

## Instruction Following

- Kimi K2 (Jul 2025): 71.3 (#151)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1347 | 1334 |
| IFEval | 85% | — |

## Long Context

- Kimi K2 (Jul 2025): 41.2 (#140)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1353 | 1355 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |

## Writing & Preference

- Kimi K2 (Jul 2025): 62.5 (#76)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | Kimi K2 (Jul 2025) | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1380 | 1340 |
| LMArena Creative Writing | 1349 | 1321 |
| LMArena Multi-Turn | 1371 | 1342 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |

## FAQ

### Is Kimi K2 (Jul 2025) better than Trinity Large Thinking?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 38.1 on the Noometry Index. Trinity Large Thinking costs 2.6× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.

### Which is cheaper, Kimi K2 (Jul 2025) or Trinity Large Thinking?

Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.

### Is Kimi K2 (Jul 2025) or Trinity Large Thinking better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 43.1 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Both accept 262K tokens.

### How many benchmarks do Kimi K2 (Jul 2025) and Trinity Large Thinking share?

18 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Trinity Large Thinking has 24.