# Kimi K2.7 Code vs Llama 3.2 3B

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 28.9 on the Noometry Index. Llama 3.2 3B costs 14× 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-llama-3-2-3b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 29.7.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 131K.

## Snapshot

| | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 43.3 | 28.9 |
| Rank | 94 | 321 |
| Context | 262K | 131K |
| Input $/M | $0.95 | $0.05 |
| Output $/M | $4 | $0.33 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Llama 3.2 3B: 27.6 (#319)

| Benchmark | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| BigCodeBench Instruct | — | 23.4% |
| LMArena Coding | — | 1098 |
| BigCodeBench Complete | — | 28.3% |
| ALE-Bench | 886.23 | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Llama 3.2 3B: 20.1 (#143)

| Benchmark | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| APEX-Agents | 37.6% | — |
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Llama 3.2 3B: 21.0 (#228)

| Benchmark | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1095 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Llama 3.2 3B: 32.4 (#214)

| Benchmark | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1126 |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Llama 3.2 3B: 29.7 (#235)

| Benchmark | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1090 |

## Multilingual

- Kimi K2.7 Code: —
- Llama 3.2 3B: 26.2 (#281)

| Benchmark | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | — | 1019 |
| LMArena Chinese | — | 1017 |
| LMArena German | — | 1056 |
| LMArena Russian | — | 949 |

## Instruction Following

- Kimi K2.7 Code: —
- Llama 3.2 3B: 56.0 (#275)

| Benchmark | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | — | 1089 |

## Long Context

- Kimi K2.7 Code: —
- Llama 3.2 3B: 33.4 (#261)

| Benchmark | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | — | 1100 |

## Writing & Preference

- Kimi K2.7 Code: —
- Llama 3.2 3B: 24.7 (#307)

| Benchmark | Kimi K2.7 Code | Llama 3.2 3B |
|---|---|---|
| LMArena Text | — | 1110 |
| LMArena Creative Writing | — | 1094 |
| EQ-Bench Creative Writing | — | 595 |
| LMArena Multi-Turn | — | 1105 |

## FAQ

### Is Kimi K2.7 Code better than Llama 3.2 3B?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 28.9 on the Noometry Index. Llama 3.2 3B costs 14× 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 Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Kimi K2.7 Code or Llama 3.2 3B better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 27.6 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 131K.

### How many benchmarks do Kimi K2.7 Code and Llama 3.2 3B share?

0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Llama 3.2 3B has 18.
