# Kimi K2 (Jul 2025) vs Llama 2-13B

> Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-vs-llama-2-13b
- Last updated: 2026-10-11
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.3 to 29.8.

## Snapshot

| | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 41.2 | 29.6 |
| Rank | 140 | 309 |
| Context | 262K | — |
| Input $/M | $0.57 | — |
| Output $/M | $2.30 | — |
| Weights | Open | Open |

## Coding

- Kimi K2 (Jul 2025): 42.4 (#102)
- Llama 2-13B: 30.9 (#291)

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1399 | 1062 |
| 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): 32.4 (#64)
- Llama 2-13B: —

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |

## Reasoning

- Kimi K2 (Jul 2025): 23.3 (#179)
- Llama 2-13B: 12.8 (#337)

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1051 |
| Epoch Capabilities Index | 146.01 | 106.17 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.2% |
| BIG-Bench Hard | — | 58.2% |
| ForecastBench | 60.2 | — |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- Kimi K2 (Jul 2025): 42.7 (#83)
- Llama 2-13B: 31.1 (#229)

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| LMArena Math | 1397 | 1065 |
| Omni-MATH | 65.4% | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
| GSM8K | — | 36.9% |

## Knowledge

- Kimi K2 (Jul 2025): 37.3 (#157)
- Llama 2-13B: 28.1 (#249)

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1365 | 1030 |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- Kimi K2 (Jul 2025): —
- Llama 2-13B: —

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |

## Multilingual

- Kimi K2 (Jul 2025): 49.6 (#130)
- Llama 2-13B: 26.5 (#279)

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1372 | 1024 |
| LMArena Chinese | 1415 | 1001 |
| LMArena French | 1379 | 1044 |
| LMArena German | 1387 | 1009 |
| LMArena Japanese | 1349 | 894 |
| LMArena Korean | 1325 | 953 |
| LMArena Russian | 1385 | 1055 |
| LMArena Spanish | 1386 | 1087 |

## Instruction Following

- Kimi K2 (Jul 2025): 71.1 (#156)
- Llama 2-13B: 53.3 (#287)

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1348 | 1045 |
| IFEval | 85% | — |

## Long Context

- Kimi K2 (Jul 2025): 41.2 (#145)
- Llama 2-13B: 32.3 (#269)

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1353 | 1064 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |

## Writing & Preference

- Kimi K2 (Jul 2025): 62.3 (#78)
- Llama 2-13B: 29.8 (#289)

| Benchmark | Kimi K2 (Jul 2025) | Llama 2-13B |
|---|---|---|
| LMArena Text | 1380 | 1084 |
| LMArena Creative Writing | 1350 | 1047 |
| LMArena Multi-Turn | 1371 | 1050 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |

## FAQ

### Is Kimi K2 (Jul 2025) better than Llama 2-13B?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 29.6 on the Noometry Index.

### Is Kimi K2 (Jul 2025) or Llama 2-13B better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 30.9 in the Noometry coding category.

### How many benchmarks do Kimi K2 (Jul 2025) and Llama 2-13B share?

18 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Llama 2-13B has 32.