# Kimi K2 (Jul 2025) vs Yi-34B

> Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 27.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-vs-yi-34b
- 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 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2 (Jul 2025) leads 36.9 to 7.5.

## Snapshot

| | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| Provider | Moonshot AI | 01.AI |
| Noometry Index | 40.9 | 27.4 |
| Rank | 134 | 325 |
| Context | 262K | — |
| Input $/M | $0.57 | — |
| Output $/M | $2.30 | — |
| Weights | Open | Open |

## Coding

- Kimi K2 (Jul 2025): 43.1 (#83)
- Yi-34B: 31.8 (#269)

| Benchmark | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| LMArena Coding | 1399 | 1112 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| ALE-Bench | 597.5 | — |

## Agentic & Tool Use

- Kimi K2 (Jul 2025): 32.2 (#59)
- Yi-34B: —

| Benchmark | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |

## Reasoning

- Kimi K2 (Jul 2025): 22.7 (#173)
- Yi-34B: 20.3 (#222)

| Benchmark | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1104 |
| Epoch Capabilities Index | 146.02 | 117.28 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| BIG-Bench Hard | — | 71.7% |
| ForecastBench | 60.2 | — |

## Math

- Kimi K2 (Jul 2025): 40.1 (#81)
- Yi-34B: 19.8 (#277)

| Benchmark | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| LMArena Math | 1396 | 1114 |
| Omni-MATH | 65.4% | — |
| MATH Level 5 | — | 5.1% |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
| GSM8K | — | 76% |

## Knowledge

- Kimi K2 (Jul 2025): 36.9 (#153)
- Yi-34B: 7.5 (#304)

| Benchmark | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| LMArena Expert | 1363 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
| MMLU | — | 76.3% |

## Multilingual

- Kimi K2 (Jul 2025): 49.8 (#125)
- Yi-34B: 29.9 (#259)

| Benchmark | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| LMArena Non-English | 1372 | 1079 |
| LMArena Chinese | 1416 | 1175 |
| LMArena French | 1379 | 1080 |
| LMArena German | 1386 | 1042 |
| LMArena Japanese | 1349 | 993 |
| LMArena Korean | 1324 | 959 |
| LMArena Russian | 1384 | 1050 |
| LMArena Spanish | 1383 | 1070 |

## Instruction Following

- Kimi K2 (Jul 2025): 71.3 (#151)
- Yi-34B: 56.4 (#269)

| Benchmark | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1347 | 1091 |
| IFEval | 85% | — |

## Long Context

- Kimi K2 (Jul 2025): 41.2 (#140)
- Yi-34B: 33.2 (#259)

| Benchmark | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1353 | 1094 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |

## Writing & Preference

- Kimi K2 (Jul 2025): 62.5 (#76)
- Yi-34B: 34.3 (#268)

| Benchmark | Kimi K2 (Jul 2025) | Yi-34B |
|---|---|---|
| LMArena Text | 1380 | 1129 |
| LMArena Creative Writing | 1349 | 1108 |
| LMArena Multi-Turn | 1371 | 1113 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |

## FAQ

### Is Kimi K2 (Jul 2025) better than Yi-34B?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 27.4 on the Noometry Index.

### Is Kimi K2 (Jul 2025) or Yi-34B better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 43.1 versus 31.8 in the Noometry coding category.

### How many benchmarks do Kimi K2 (Jul 2025) and Yi-34B share?

18 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Yi-34B has 23.