# DeepSeek-V3.1 vs Kimi K2.7 Code

> DeepSeek-V3.1 and Kimi K2.7 Code score almost the same on the Noometry Index (42.8 vs 43.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-kimi-k2-7-code
- Last updated: 2026-10-12
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and Kimi K2.7 Code in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 38.9.
- The biggest single-benchmark swing is SimpleBench: 40% for DeepSeek-V3.1 and 57.9% for Kimi K2.7 Code.
- DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 164K.

## Snapshot

| | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 42.8 | 43.3 |
| Rank | 108 | 94 |
| Context | 164K | 262K |
| Input $/M | $0.25 | $0.95 |
| Output $/M | $0.95 | $4 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Kimi K2.7 Code: 42.9 (#95)

| Benchmark | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| WeirdML | 38.4% | 54.1% |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| LMArena Coding | 1417 | — |
| ALE-Bench | — | 886.23 |

## Agentic & Tool Use

- DeepSeek-V3.1: —
- Kimi K2.7 Code: 24.0 (#122)

| Benchmark | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Kimi K2.7 Code: 39.0 (#61)

| Benchmark | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 40% | 57.9% |
| Epoch Capabilities Index | 139.92 | 149.97 |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1417 | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Surface Evolver Bench | — | 48.8% |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Kimi K2.7 Code: 52.9 (#48)

| Benchmark | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| LMArena Math | 1420 | — |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Kimi K2.7 Code: 53.5 (#57)

| Benchmark | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
| Vectara Hallucination Rate | 5.5% | — |
| LMArena Expert | 1405 | — |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Kimi K2.7 Code: —

| Benchmark | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1400 | — |
| LMArena Chinese | 1469 | — |
| LMArena French | 1447 | — |
| LMArena German | 1411 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1337 | — |
| LMArena Russian | 1405 | — |
| LMArena Spanish | 1431 | — |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Kimi K2.7 Code: —

| Benchmark | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1400 | — |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Kimi K2.7 Code: —

| Benchmark | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| Fiction.LiveBench | 52.8% | — |
| LMArena Longer Query | 1422 | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Kimi K2.7 Code: —

| Benchmark | DeepSeek-V3.1 | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1420 | — |
| LMArena Creative Writing | 1401 | — |
| EQ-Bench Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1408 | — |

## FAQ

### Is DeepSeek-V3.1 better than Kimi K2.7 Code?

DeepSeek-V3.1 and Kimi K2.7 Code score almost the same on the Noometry Index (42.8 vs 43.3), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-V3.1 or Kimi K2.7 Code?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is DeepSeek-V3.1 or Kimi K2.7 Code better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 40.3 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 164K.

### How many benchmarks do DeepSeek-V3.1 and Kimi K2.7 Code share?

3 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Kimi K2.7 Code has 19.