# Kimi K2.7 Code vs Olmo 2 0325 32b Instruct

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-olmo-2-0325-32b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 19.5.

## Snapshot

| | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| Provider | Moonshot AI | Allen Institute for AI (Ai2) |
| Noometry Index | 43.3 | 32.7 |
| Rank | 94 | 254 |
| Context | 262K | — |
| Input $/M | $0.95 | — |
| Output $/M | $4 | — |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Olmo 2 0325 32b Instruct: 35.2 (#227)

| Benchmark | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1210 |
| ALE-Bench | 886.23 | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Olmo 2 0325 32b Instruct: —

| Benchmark | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Olmo 2 0325 32b Instruct: 23.6 (#175)

| Benchmark | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1208 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Olmo 2 0325 32b Instruct: 26.8 (#255)

| Benchmark | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| Omni-MATH | — | 16.1% |
| LMArena Math | — | 1208 |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Olmo 2 0325 32b Instruct: 19.5 (#279)

| Benchmark | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |

## Multilingual

- Kimi K2.7 Code: —
- Olmo 2 0325 32b Instruct: 34.8 (#248)

| Benchmark | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | — | 1160 |
| LMArena Chinese | — | 1192 |
| LMArena Russian | — | 1187 |

## Instruction Following

- Kimi K2.7 Code: —
- Olmo 2 0325 32b Instruct: 61.5 (#244)

| Benchmark | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| IFEval | — | 78% |
| LMArena Instruction Following | — | 1186 |

## Long Context

- Kimi K2.7 Code: —
- Olmo 2 0325 32b Instruct: 36.2 (#234)

| Benchmark | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1194 |

## Writing & Preference

- Kimi K2.7 Code: —
- Olmo 2 0325 32b Instruct: 42.1 (#236)

| Benchmark | Kimi K2.7 Code | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | — | 1218 |
| LMArena Creative Writing | — | 1199 |
| WildBench | — | 73.4% |
| LMArena Multi-Turn | — | 1221 |

## FAQ

### Is Kimi K2.7 Code better than Olmo 2 0325 32b Instruct?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.7 on the Noometry Index.

### Is Kimi K2.7 Code or Olmo 2 0325 32b Instruct better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 35.2 in the Noometry coding category.

### How many benchmarks do Kimi K2.7 Code and Olmo 2 0325 32b Instruct share?

0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.