# Kimi K2.7 Code vs Llama 3.1 Nemotron 70b Instruct

> Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-llama-3-1-nemotron-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.6 to 33.5.

## Snapshot

| | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| Provider | Moonshot AI | NVIDIA |
| Noometry Index | 43.0 | 37.0 |
| Rank | 90 | 199 |
| Context | 262K | — |
| Input $/M | $0.95 | — |
| Output $/M | $4 | — |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.4 (#92)
- Llama 3.1 Nemotron 70b Instruct: 35.3 (#212)

| Benchmark | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| BigCodeBench Instruct | — | 38.7% |
| LMArena Coding | — | 1272 |
| BigCodeBench Complete | — | 48.2% |
| ALE-Bench | 886.23 | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 23.9 (#115)
- Llama 3.1 Nemotron 70b Instruct: —

| Benchmark | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 38.2 (#56)
- Llama 3.1 Nemotron 70b Instruct: 24.0 (#156)

| Benchmark | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1266 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 150.01 | — |

## Math

- Kimi K2.7 Code: 52.6 (#39)
- Llama 3.1 Nemotron 70b Instruct: 32.9 (#182)

| Benchmark | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1271 |

## Knowledge

- Kimi K2.7 Code: 53.6 (#51)
- Llama 3.1 Nemotron 70b Instruct: 33.5 (#194)

| Benchmark | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1242 |

## Multilingual

- Kimi K2.7 Code: —
- Llama 3.1 Nemotron 70b Instruct: 40.7 (#212)

| Benchmark | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Non-English | — | 1245 |
| LMArena Chinese | — | 1263 |
| LMArena Russian | — | 1227 |

## Instruction Following

- Kimi K2.7 Code: —
- Llama 3.1 Nemotron 70b Instruct: 66.2 (#208)

| Benchmark | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1252 |

## Long Context

- Kimi K2.7 Code: —
- Llama 3.1 Nemotron 70b Instruct: 37.5 (#210)

| Benchmark | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1239 |

## Writing & Preference

- Kimi K2.7 Code: —
- Llama 3.1 Nemotron 70b Instruct: 48.6 (#197)

| Benchmark | Kimi K2.7 Code | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Text | — | 1283 |
| LMArena Creative Writing | — | 1269 |
| LMArena Multi-Turn | — | 1275 |

## FAQ

### Is Kimi K2.7 Code better than Llama 3.1 Nemotron 70b Instruct?

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 37.0 on the Noometry Index.

### Is Kimi K2.7 Code or Llama 3.1 Nemotron 70b Instruct better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 35.3 in the Noometry coding category.

### How many benchmarks do Kimi K2.7 Code and Llama 3.1 Nemotron 70b Instruct share?

0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Llama 3.1 Nemotron 70b Instruct has 14.