Model comparison
Kimi K2 (Jul 2025) vs Llama 3.1-405B
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.7 on the Noometry Index.
Last verified . 29 shared benchmarks.
MetaSummary
- They share 29 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 9 categories and Llama 3.1-405B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2 (Jul 2025) leads 42.7 to 18.4.
- The biggest single-benchmark swing is Omni-MATH: 65.4% for Kimi K2 (Jul 2025) and 24.9% for Llama 3.1-405B.
Side by side
| Kimi K2 (Jul 2025) | Llama 3.1-405B | |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 41.2 | 30.7 |
| Released | 2025-07-12 | 2024-07-23 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.57 | — |
| Output $ / M tokens | $2.30 | — |
| Results tracked | 42 | 42 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.4 (#102), Llama 3.1-405B: 33.1 (#262)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3.1-405B |
|---|---|---|
| WeirdML | 42.8% | 21.4% |
| LMArena Coding | 1399 | 1291 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| ALE-Bench | 597.5 | — |
Agentic & Tool Use Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 32.4 (#64), Llama 3.1-405B: 21.0 (#140)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3.1-405B |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
| METR Time Horizons | 59.2% | — |
Reasoning Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 23.3 (#179), Llama 3.1-405B: 16.8 (#300)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3.1-405B |
|---|---|---|
| SimpleBench | 26.3% | 23% |
| Kagi LLM Benchmark | 64.4% | 45% |
| LMArena Hard Prompts | 1384 | 1269 |
| Epoch Capabilities Index | 146.01 | 128.75 |
| ForecastBench | 60.2 | 59.9 |
| DTBench | — | 61.4% |
| BIG-Bench Hard | — | 82.9% |
| HellaSwag | — | 89.2% |
| PIQA | — | 85.9% |
| WinoGrande | — | 89.2% |
Math Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.7 (#83), Llama 3.1-405B: 18.4 (#290)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3.1-405B |
|---|---|---|
| Omni-MATH | 65.4% | 24.9% |
| LMArena Math | 1397 | 1281 |
| OTIS Mock AIME 2024-2025 | — | 9.7% |
| MATH Level 5 | — | 49.8% |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 37.3 (#157), Llama 3.1-405B: 30.4 (#227)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3.1-405B |
|---|---|---|
| MMLU-Pro | 81.9% | 72.3% |
| Confabulations | 20.4% | 17.6% |
| GPQA (HELM) | 65.3% | 52.2% |
| LMArena Expert | 1365 | 1243 |
| GPQA Diamond | — | 50.9% |
| Vectara Hallucination Rate | 17.9% | — |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 84.5% |
| TriviaQA | — | 82.7% |
Multilingual Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 49.6 (#130), Llama 3.1-405B: 40.7 (#214)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 1372 | 1248 |
| LMArena Chinese | 1415 | 1242 |
| LMArena French | 1379 | 1279 |
| LMArena German | 1387 | 1252 |
| LMArena Japanese | 1349 | 1208 |
| LMArena Korean | 1325 | 1184 |
| LMArena Russian | 1385 | 1265 |
| LMArena Spanish | 1386 | 1260 |
Instruction Following Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 71.1 (#156), Llama 3.1-405B: 65.9 (#214)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3.1-405B |
|---|---|---|
| IFEval | 85% | 81.1% |
| LMArena Instruction Following | 1348 | 1259 |
Long Context Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 41.2 (#145), Llama 3.1-405B: 38.4 (#197)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 1353 | 1266 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
Writing & Preference Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 62.3 (#78), Llama 3.1-405B: 38.9 (#251)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1380 | 1284 |
| LMArena Creative Writing | 1350 | 1262 |
| EQ-Bench Creative Writing | 1666 | 870 |
| WildBench | 86.2% | 78.3% |
| LMArena Multi-Turn | 1371 | 1297 |
| Short-Story Creative Writing | 85.6% | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than Llama 3.1-405B?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.7 on the Noometry Index.
Is Kimi K2 (Jul 2025) or Llama 3.1-405B better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 33.1 in the Noometry coding category.
How many benchmarks do Kimi K2 (Jul 2025) and Llama 3.1-405B share?
29 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Llama 3.1-405B has 42.