Model comparison
Kimi K2.6 vs Llama 3-8B
Kimi K2.6 is the stronger model overall, scoring 47.7 to 25.5 on the Noometry Index.
Last verified . 22 shared benchmarks.
MetaSummary
- They share 22 benchmarks with published results for both. Kimi K2.6 scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.6 leads 57.0 to 8.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 96.1% for Kimi K2.6 and 1.9% for Llama 3-8B.
Side by side
| Kimi K2.6 | Llama 3-8B | |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 47.7 | 25.5 |
| Released | 2026-04-20 | 2024-04-18 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 51 | 34 |
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 3-8B: 31.0 (#289)
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1488 | 1152 |
| SWE-bench Verified | 76.7% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 53.5% | — |
| WeirdML | 55.9% | — |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| ALE-Bench | 1,093 | — |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Kimi K2.6: 21.9 (#137), Llama 3-8B: —
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| 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 3-8B: 14.3 (#326)
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| Chess Puzzles | 26% | 0% |
| LMArena Hard Prompts | 1470 | 1133 |
| DTBench | 90.9% | 43.9% |
| Epoch Capabilities Index | 151.05 | 116.45 |
| NYT Connections (extended) | 87.2% | — |
| CritPt | 8% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 18% | — |
| LMCA | 37.3% | — |
| Adversarial NLI | — | 57.3% |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Kimi K2.6 leads
Kimi K2.6: 57.0 (#41), Llama 3-8B: 8.8 (#323)
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 96.1% | 1.9% |
| LMArena Math | 1475 | 1151 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 25.6% | — |
| MathArena Final-Answer Competitions | 72.9% | — |
| ProofBench | 16% | — |
| MATH Level 5 | — | 6.1% |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Kimi K2.6 leads
Kimi K2.6: 54.0 (#54), Llama 3-8B: 7.8 (#308)
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 90.8% | 26.1% |
| LMArena Expert | 1491 | 1113 |
| SimpleQA Verified | 34.9% | — |
| Vectara Hallucination Rate | 10.8% | — |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multimodal Not comparable
Kimi K2.6: 31.6 (#103), Llama 3-8B: —
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 3.9% | — |
| Furniture Assembly | 21.7% | — |
| LMArena Document | 1451 | — |
Multilingual Kimi K2.6 leads
Kimi K2.6: 54.9 (#37), Llama 3-8B: 30.8 (#261)
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1446 | 1098 |
| LMArena Chinese | 1521 | 1076 |
| LMArena French | 1471 | 1159 |
| LMArena German | 1450 | 1104 |
| LMArena Japanese | 1443 | 967 |
| LMArena Korean | 1427 | 1004 |
| LMArena Russian | 1446 | 1109 |
| LMArena Spanish | 1464 | 1173 |
Instruction Following Kimi K2.6 leads
Kimi K2.6: 76.3 (#43), Llama 3-8B: 58.4 (#260)
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1451 | 1127 |
Long Context Kimi K2.6 leads
Kimi K2.6: 44.9 (#52), Llama 3-8B: 34.2 (#251)
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1468 | 1128 |
Writing & Preference Kimi K2.6 leads
Kimi K2.6: 68.5 (#26), Llama 3-8B: 37.5 (#256)
| Benchmark | Kimi K2.6 | Llama 3-8B |
|---|---|---|
| LMArena Text | 1455 | 1166 |
| LMArena Creative Writing | 1434 | 1150 |
| LMArena Multi-Turn | 1453 | 1152 |
| EQ-Bench Creative Writing | 1725 | — |
| EQ-Bench 4 | 1202 | — |
Frequently asked questions
Is Kimi K2.6 better than Llama 3-8B?
Kimi K2.6 is the stronger model overall, scoring 47.7 to 25.5 on the Noometry Index.
Is Kimi K2.6 or Llama 3-8B better for coding?
Kimi K2.6 scores higher on coding benchmarks: 50.7 versus 31.0 in the Noometry coding category.
How many benchmarks do Kimi K2.6 and Llama 3-8B share?
22 benchmarks have published results for both models. Kimi K2.6 has 51 scored results on Noometry and Llama 3-8B has 34.