Model comparison
Kimi K2 (Jul 2025) vs Llama 13b
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.3 to 13.8.
Side by side
| Kimi K2 (Jul 2025) | Llama 13b | |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 41.2 | 24.4 |
| Released | 2025-07-12 | 2023-02-24 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.57 | — |
| Output $ / M tokens | $2.30 | — |
| Results tracked | 42 | 21 |
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Category by category
Coding Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.4 (#102), Llama 13b: 21.4 (#337)
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| LMArena Coding | 1399 | 683 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| ALE-Bench | 597.5 | — |
Agentic & Tool Use Not comparable
Kimi K2 (Jul 2025): 32.4 (#64), Llama 13b: —
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |
Reasoning Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 23.3 (#179), Llama 13b: 14.0 (#329)
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1384 | 728 |
| Epoch Capabilities Index | 146.01 | 100.58 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| BIG-Bench Hard | — | 37.9% |
| ForecastBench | 60.2 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.7 (#83), Llama 13b: 26.7 (#256)
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| LMArena Math | 1397 | 838 |
| Omni-MATH | 65.4% | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Kimi K2 (Jul 2025): 37.3 (#157), Llama 13b: —
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
| LMArena Expert | 1365 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Kimi K2 (Jul 2025): —, Llama 13b: —
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 49.6 (#130), Llama 13b: 16.6 (#297)
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| LMArena Non-English | 1372 | 819 |
| LMArena Chinese | 1415 | — |
| LMArena French | 1379 | — |
| LMArena German | 1387 | — |
| LMArena Japanese | 1349 | — |
| LMArena Korean | 1325 | — |
| LMArena Russian | 1385 | — |
| LMArena Spanish | 1386 | — |
Instruction Following Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 71.1 (#156), Llama 13b: 36.7 (#305)
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1348 | 781 |
| IFEval | 85% | — |
Long Context Not comparable
Kimi K2 (Jul 2025): 41.2 (#145), Llama 13b: —
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
| LMArena Longer Query | 1353 | — |
Writing & Preference Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 62.3 (#78), Llama 13b: 13.8 (#312)
| Benchmark | Kimi K2 (Jul 2025) | Llama 13b |
|---|---|---|
| LMArena Text | 1380 | 834 |
| LMArena Creative Writing | 1350 | 794 |
| LMArena Multi-Turn | 1371 | 753 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than Llama 13b?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 24.4 on the Noometry Index.
Is Kimi K2 (Jul 2025) or Llama 13b better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 21.4 in the Noometry coding category.
How many benchmarks do Kimi K2 (Jul 2025) and Llama 13b share?
9 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Llama 13b has 21.