# Kimi K2.7 Code vs MiniMax-M2

> Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 36.9 on the Noometry Index. MiniMax-M2 costs 3.3× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-minimax-m2
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and MiniMax-M2 in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 38.2 to 18.6.
- MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 205K.

## Snapshot

| | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| Provider | Moonshot AI | MiniMax |
| Noometry Index | 43.0 | 36.9 |
| Rank | 90 | 201 |
| Context | 262K | 205K |
| Input $/M | $0.95 | $0.30 |
| Output $/M | $4 | $1.20 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.4 (#92)
- MiniMax-M2: 39.1 (#151)

| Benchmark | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| LMArena WebDev | 1473 | 1297 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SWE-bench Verified (bash only) | — | 61% |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1370 |
| ALE-Bench | 886.23 | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 23.9 (#115)
- MiniMax-M2: 24.9 (#102)

| Benchmark | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| Vending-Bench 2 | 5,083 | 160.6 |
| Terminal-Bench | — | 30% |
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |

## Reasoning

- Kimi K2.7 Code: 38.2 (#56)
- MiniMax-M2: 18.6 (#256)

| Benchmark | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| SimpleBench | 57.9% | — |
| Kagi LLM Benchmark | — | 57.8% |
| NYT Connections (extended) | — | 14.8% |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1357 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 150.01 | — |

## Math

- Kimi K2.7 Code: 52.6 (#39)
- MiniMax-M2: 34.6 (#158)

| Benchmark | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1350 |

## Knowledge

- Kimi K2.7 Code: 53.6 (#51)
- MiniMax-M2: 36.3 (#160)

| Benchmark | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1336 |

## Multilingual

- Kimi K2.7 Code: —
- MiniMax-M2: 45.6 (#165)

| Benchmark | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| LMArena Non-English | — | 1314 |
| LMArena Chinese | — | 1367 |
| LMArena French | — | 1336 |
| LMArena German | — | 1366 |
| LMArena Russian | — | 1332 |
| LMArena Spanish | — | 1326 |

## Instruction Following

- Kimi K2.7 Code: —
- MiniMax-M2: 70.4 (#160)

| Benchmark | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| LMArena Instruction Following | — | 1329 |

## Long Context

- Kimi K2.7 Code: —
- MiniMax-M2: 40.5 (#148)

| Benchmark | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| LMArena Longer Query | — | 1332 |

## Writing & Preference

- Kimi K2.7 Code: —
- MiniMax-M2: 53.3 (#157)

| Benchmark | Kimi K2.7 Code | MiniMax-M2 |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1288 |
| LMArena Multi-Turn | — | 1362 |

## FAQ

### Is Kimi K2.7 Code better than MiniMax-M2?

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 36.9 on the Noometry Index. MiniMax-M2 costs 3.3× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

### Which is cheaper, Kimi K2.7 Code or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Kimi K2.7 Code or MiniMax-M2 better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 39.1 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 205K.

### How many benchmarks do Kimi K2.7 Code and MiniMax-M2 share?

2 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and MiniMax-M2 has 21.