# Deepseek Coder v2 vs Kimi K2.5

> Kimi K2.5 is the stronger model overall, scoring 48.1 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-kimi-k2-5
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and Kimi K2.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2.5 leads 65.1 to 38.2.

## Snapshot

| | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 35.9 | 48.1 |
| Rank | 220 | 57 |
| Context | — | 262K |
| Input $/M | — | $0.45 |
| Output $/M | — | $2.25 |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Kimi K2.5: 48.8 (#53)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| LMArena Coding | 1251 | 1474 |
| SWE-bench Verified | — | 73.8% |
| SWE-bench Verified (bash only) | — | 70.8% |
| LMArena WebDev | — | 1437 |
| SWE-bench Multilingual | — | 67.3% |
| SciCode | — | 49% |
| WeirdML | — | 45.6% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 821.65 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Agentic & Tool Use

- Deepseek Coder v2: —
- Kimi K2.5: 34.2 (#48)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| Terminal-Bench | — | 43.2% |
| OSWorld | — | 63.3% |
| Vending-Bench 2 | — | 1,198 |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Kimi K2.5: 31.2 (#80)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1453 |
| ARC-AGI-2 | — | 11.8% |
| SimpleBench | — | 46.8% |
| Kagi LLM Benchmark | — | 78.5% |
| NYT Connections (extended) | — | 69.9% |
| ARC-AGI-1 | — | 65.3% |
| CritPt | — | 3.1% |
| Chess Puzzles | — | 12% |
| EnigmaEval | — | 3.4% |
| Thematic Generalization | — | 69.4% |
| Epoch Capabilities Index | — | 148.03 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Kimi K2.5: 51.8 (#53)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| LMArena Math | 1241 | 1470 |
| MathArena Final-Answer Competitions | — | 62.3% |
| OTIS Mock AIME 2024-2025 | — | 92.2% |
| FrontierMath (Feb 2025 set) | — | 27.9% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Kimi K2.5: 53.6 (#56)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| LMArena Expert | 1181 | 1466 |
| GPQA Diamond | — | 87.6% |
| Humanity's Last Exam | — | 24.4% |
| SimpleQA Verified | — | 34.3% |
| Vectara Hallucination Rate | — | 14.2% |
| ARC (AI2) Challenge | 64.3% | — |

## Multimodal

- Deepseek Coder v2: —
- Kimi K2.5: 41.1 (#39)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| LMArena Vision | — | 1269 |
| LMArena Document | — | 1430 |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Kimi K2.5: 53.9 (#53)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| LMArena Non-English | 1182 | 1433 |
| LMArena Chinese | 1201 | 1495 |
| LMArena French | 1185 | 1454 |
| LMArena German | 1164 | 1441 |
| LMArena Japanese | 1126 | 1421 |
| LMArena Korean | 1104 | 1410 |
| LMArena Russian | 1188 | 1435 |
| LMArena Spanish | 1153 | 1450 |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Kimi K2.5: 75.3 (#64)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| LMArena Instruction Following | 1180 | 1431 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Kimi K2.5: 52.1 (#7)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| LMArena Longer Query | 1219 | 1445 |
| Fiction.LiveBench | — | 86.1% |
| CL-bench | — | 19.3% |
| CL-bench Life | — | 13.2% |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Kimi K2.5: 65.1 (#53)

| Benchmark | Deepseek Coder v2 | Kimi K2.5 |
|---|---|---|
| LMArena Text | 1191 | 1445 |
| LMArena Creative Writing | 1120 | 1423 |
| LMArena Multi-Turn | 1177 | 1444 |
| EQ-Bench Creative Writing | — | 1579 |

## FAQ

### Is Deepseek Coder v2 better than Kimi K2.5?

Kimi K2.5 is the stronger model overall, scoring 48.1 to 35.9 on the Noometry Index.

### Is Deepseek Coder v2 or Kimi K2.5 better for coding?

Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 38.1 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Kimi K2.5 share?

17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Kimi K2.5 has 51.