Model comparison
Kimi K2.6 vs Llama 2-13B
Kimi K2.6 is the stronger model overall, scoring 47.7 to 29.6 on the Noometry Index.
Last verified . 20 shared benchmarks.
MetaSummary
- They share 20 benchmarks with published results for both. Kimi K2.6 scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2.6 leads 68.5 to 29.8.
- The biggest single-benchmark swing is DTBench: 90.9% for Kimi K2.6 and 42.2% for Llama 2-13B.
Side by side
| Kimi K2.6 | Llama 2-13B | |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 47.7 | 29.6 |
| Released | 2026-04-20 | 2023-07-18 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 51 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2.6 leads
Kimi K2.6: 50.7 (#43), Llama 2-13B: 30.9 (#291)
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1488 | 1062 |
| SWE-bench Verified | 76.7% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 53.5% | — |
| WeirdML | 55.9% | — |
| ALE-Bench | 1,093 | — |
Agentic & Tool Use Not comparable
Kimi K2.6: 21.9 (#137), Llama 2-13B: —
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| OSWorld 2.0 | 4.6% | — |
| ExploitBench | 18.4% | — |
| GBAEval | 0.9% | — |
| GDP.pdf | 12% | — |
| Vending-Bench 2 | 6,205 | — |
Reasoning Kimi K2.6 leads
Kimi K2.6: 40.5 (#55), Llama 2-13B: 12.8 (#337)
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 26% | 0% |
| LMArena Hard Prompts | 1470 | 1051 |
| DTBench | 90.9% | 42.2% |
| Epoch Capabilities Index | 151.05 | 106.17 |
| NYT Connections (extended) | 87.2% | — |
| CritPt | 8% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 18% | — |
| LMCA | 37.3% | — |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math Kimi K2.6 leads
Kimi K2.6: 57.0 (#41), Llama 2-13B: 31.1 (#229)
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| LMArena Math | 1475 | 1065 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 25.6% | — |
| MathArena Final-Answer Competitions | 72.9% | — |
| OTIS Mock AIME 2024-2025 | 96.1% | — |
| ProofBench | 16% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
| GSM8K | — | 36.9% |
Knowledge Kimi K2.6 leads
Kimi K2.6: 54.0 (#54), Llama 2-13B: 28.1 (#249)
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1491 | 1030 |
| GPQA Diamond | 90.8% | — |
| SimpleQA Verified | 34.9% | — |
| Vectara Hallucination Rate | 10.8% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
Kimi K2.6: 31.6 (#103), Llama 2-13B: —
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 3.9% | — |
| Furniture Assembly | 21.7% | — |
| LMArena Document | 1451 | — |
| ScienceQA | — | 55.8% |
Multilingual Kimi K2.6 leads
Kimi K2.6: 54.9 (#37), Llama 2-13B: 26.5 (#279)
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1446 | 1024 |
| LMArena Chinese | 1521 | 1001 |
| LMArena French | 1471 | 1044 |
| LMArena German | 1450 | 1009 |
| LMArena Japanese | 1443 | 894 |
| LMArena Korean | 1427 | 953 |
| LMArena Russian | 1446 | 1055 |
| LMArena Spanish | 1464 | 1087 |
Instruction Following Kimi K2.6 leads
Kimi K2.6: 76.3 (#43), Llama 2-13B: 53.3 (#287)
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1451 | 1045 |
Long Context Kimi K2.6 leads
Kimi K2.6: 44.9 (#52), Llama 2-13B: 32.3 (#269)
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1468 | 1064 |
Writing & Preference Kimi K2.6 leads
Kimi K2.6: 68.5 (#26), Llama 2-13B: 29.8 (#289)
| Benchmark | Kimi K2.6 | Llama 2-13B |
|---|---|---|
| LMArena Text | 1455 | 1084 |
| LMArena Creative Writing | 1434 | 1047 |
| LMArena Multi-Turn | 1453 | 1050 |
| EQ-Bench Creative Writing | 1725 | — |
| EQ-Bench 4 | 1202 | — |
Frequently asked questions
Is Kimi K2.6 better than Llama 2-13B?
Kimi K2.6 is the stronger model overall, scoring 47.7 to 29.6 on the Noometry Index.
Is Kimi K2.6 or Llama 2-13B better for coding?
Kimi K2.6 scores higher on coding benchmarks: 50.7 versus 30.9 in the Noometry coding category.
How many benchmarks do Kimi K2.6 and Llama 2-13B share?
20 benchmarks have published results for both models. Kimi K2.6 has 51 scored results on Noometry and Llama 2-13B has 32.