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

> DeepSeek-V3.1-Terminus and Kimi K2.7 Code score almost the same on the Noometry Index (43.1 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-terminus-vs-kimi-k2-7-code
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 0 categories and Kimi K2.7 Code in 3 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 38.5.
- The biggest single-benchmark swing is CritPt: 1.7% for DeepSeek-V3.1-Terminus and 10% for Kimi K2.7 Code.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 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-Terminus | Kimi K2.7 Code |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 43.1 | 43.3 |
| Rank | 97 | 94 |
| Context | 164K | 262K |
| Input $/M | $0.27 | $0.95 |
| Output $/M | $1 | $4 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Kimi K2.7 Code: 42.9 (#95)

| Benchmark | DeepSeek-V3.1-Terminus | Kimi K2.7 Code |
|---|---|---|
| SciCode | 40.6% | 47.5% |
| ALE-Bench | 745.17 | 886.23 |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| WeirdML | — | 54.1% |
| LMArena Coding | 1426 | — |

## Agentic & Tool Use

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

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

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Kimi K2.7 Code: 39.0 (#61)

| Benchmark | DeepSeek-V3.1-Terminus | Kimi K2.7 Code |
|---|---|---|
| CritPt | 1.7% | 10% |
| SimpleBench | — | 57.9% |
| Kagi LLM Benchmark | 57.4% | — |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1426 | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Kimi K2.7 Code: 52.9 (#48)

| Benchmark | DeepSeek-V3.1-Terminus | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| LMArena Math | 1402 | — |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Kimi K2.7 Code: 53.5 (#57)

| Benchmark | DeepSeek-V3.1-Terminus | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Kimi K2.7 Code: —

| Benchmark | DeepSeek-V3.1-Terminus | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1407 | — |
| LMArena Russian | 1436 | — |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Kimi K2.7 Code: —

| Benchmark | DeepSeek-V3.1-Terminus | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1404 | — |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Kimi K2.7 Code: —

| Benchmark | DeepSeek-V3.1-Terminus | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1421 | — |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Kimi K2.7 Code: —

| Benchmark | DeepSeek-V3.1-Terminus | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1419 | — |
| LMArena Creative Writing | 1403 | — |
| LMArena Multi-Turn | 1411 | — |

## FAQ

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

DeepSeek-V3.1-Terminus and Kimi K2.7 Code score almost the same on the Noometry Index (43.1 vs 43.3), so choose on price, context window or the category you care about most.

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

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

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

They score almost the same on coding (42.0 vs 42.9); test both on your own repository before choosing.

### Which has the bigger context window?

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

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

3 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Kimi K2.7 Code has 19.