# Kimi K2.6 vs Llama 3-70B

> Kimi K2.6 is the stronger model overall, scoring 47.5 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-6-vs-llama-3-70b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Kimi K2.6 scores higher in 9 categories and Llama 3-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.6 leads 56.8 to 12.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 96.1% for Kimi K2.6 and 4.3% for Llama 3-70B.

## Snapshot

| | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 47.5 | 28.5 |
| Rank | 52 | 317 |
| Context | 262K | — |
| Input $/M | $0.95 | — |
| Output $/M | $4 | — |
| Weights | Open | Open |

## Coding

- Kimi K2.6: 50.5 (#41)
- Llama 3-70B: 35.3 (#215)

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1488 | 1206 |
| SWE-bench Verified | 76.7% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 53.5% | — |
| WeirdML | 55.9% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 1,093 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |

## Agentic & Tool Use

- Kimi K2.6: 21.8 (#128)
- Llama 3-70B: 20.9 (#132)

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| OSWorld 2.0 | 4.6% | — |
| Cybench | — | 5% |
| ExploitBench | 18.4% | — |
| GBAEval | 0.9% | — |
| GDP.pdf | 12% | — |
| Vending-Bench 2 | 6,205 | — |

## Reasoning

- Kimi K2.6: 39.6 (#51)
- Llama 3-70B: 17.4 (#284)

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1470 | 1195 |
| DTBench | 90.9% | 54.2% |
| Epoch Capabilities Index | 151.03 | 122.91 |
| Kagi LLM Benchmark | — | 35.1% |
| NYT Connections (extended) | 87.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 26% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 18% | — |
| LMCA | 37.3% | — |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |

## Math

- Kimi K2.6: 56.8 (#34)
- Llama 3-70B: 12.0 (#299)

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 96.1% | 4.3% |
| LMArena Math | 1475 | 1218 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 25.6% | — |
| MathArena Final-Answer Competitions | 72.9% | — |
| ProofBench | 16% | — |
| MATH Level 5 | — | 22.6% |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- Kimi K2.6: 53.9 (#48)
- Llama 3-70B: 20.8 (#272)

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 90.8% | 40.6% |
| LMArena Expert | 1491 | 1149 |
| SimpleQA Verified | 34.9% | — |
| Vectara Hallucination Rate | 10.8% | — |
| MMLU | — | 79.3% |

## Multimodal

- Kimi K2.6: 31.8 (#95)
- Llama 3-70B: —

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1282 | — |
| Blueprint-Bench 2 | 3.9% | — |
| Furniture Assembly | 21.7% | — |
| LMArena Document | 1451 | — |

## Multilingual

- Kimi K2.6: 55.1 (#35)
- Llama 3-70B: 33.8 (#246)

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1446 | 1142 |
| LMArena Chinese | 1521 | 1114 |
| LMArena French | 1471 | 1231 |
| LMArena German | 1449 | 1169 |
| LMArena Japanese | 1442 | 1017 |
| LMArena Korean | 1428 | 1017 |
| LMArena Russian | 1446 | 1159 |
| LMArena Spanish | 1463 | 1241 |

## Instruction Following

- Kimi K2.6: 76.5 (#40)
- Llama 3-70B: 62.8 (#233)

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1451 | 1194 |

## Long Context

- Kimi K2.6: 44.9 (#50)
- Llama 3-70B: 35.6 (#235)

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1468 | 1174 |

## Writing & Preference

- Kimi K2.6: 68.7 (#25)
- Llama 3-70B: 43.0 (#225)

| Benchmark | Kimi K2.6 | Llama 3-70B |
|---|---|---|
| LMArena Text | 1455 | 1221 |
| LMArena Creative Writing | 1434 | 1210 |
| LMArena Multi-Turn | 1453 | 1223 |
| EQ-Bench Creative Writing | 1725 | — |
| EQ-Bench 4 | 1202 | — |

## FAQ

### Is Kimi K2.6 better than Llama 3-70B?

Kimi K2.6 is the stronger model overall, scoring 47.5 to 28.5 on the Noometry Index.

### Is Kimi K2.6 or Llama 3-70B better for coding?

Kimi K2.6 scores higher on coding benchmarks: 50.5 versus 35.3 in the Noometry coding category.

### How many benchmarks do Kimi K2.6 and Llama 3-70B share?

21 benchmarks have published results for both models. Kimi K2.6 has 51 scored results on Noometry and Llama 3-70B has 31.