Model comparison
Kimi K2 (Jul 2025) vs Llama 3-8B
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 25.5 on the Noometry Index.
Last verified . 19 shared benchmarks.
MetaSummary
- They share 19 benchmarks with published results for both. Kimi K2 (Jul 2025) 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 (Jul 2025) leads 42.7 to 8.8.
Side by side
| Kimi K2 (Jul 2025) | Llama 3-8B | |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 41.2 | 25.5 |
| Released | 2025-07-12 | 2024-04-18 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.57 | — |
| Output $ / M tokens | $2.30 | — |
| Results tracked | 42 | 34 |
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 3-8B: 31.0 (#289)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1399 | 1152 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| ALE-Bench | 597.5 | — |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Kimi K2 (Jul 2025): 32.4 (#64), Llama 3-8B: —
| Benchmark | Kimi K2 (Jul 2025) | Llama 3-8B |
|---|---|---|
| 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 3-8B: 14.3 (#326)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1133 |
| Epoch Capabilities Index | 146.01 | 116.45 |
| ForecastBench | 60.2 | 58.6 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| WinoGrande | — | 75.7% |
Math Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.7 (#83), Llama 3-8B: 8.8 (#323)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3-8B |
|---|---|---|
| LMArena Math | 1397 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| Omni-MATH | 65.4% | — |
| MATH Level 5 | — | 6.1% |
| 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 3-8B: 7.8 (#308)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3-8B |
|---|---|---|
| LMArena Expert | 1365 | 1113 |
| GPQA Diamond | — | 26.1% |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 49.6 (#130), Llama 3-8B: 30.8 (#261)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1372 | 1098 |
| LMArena Chinese | 1415 | 1076 |
| LMArena French | 1379 | 1159 |
| LMArena German | 1387 | 1104 |
| LMArena Japanese | 1349 | 967 |
| LMArena Korean | 1325 | 1004 |
| LMArena Russian | 1385 | 1109 |
| LMArena Spanish | 1386 | 1173 |
Instruction Following Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 71.1 (#156), Llama 3-8B: 58.4 (#260)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1348 | 1127 |
| IFEval | 85% | — |
Long Context Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 41.2 (#145), Llama 3-8B: 34.2 (#251)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1353 | 1128 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
Writing & Preference Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 62.3 (#78), Llama 3-8B: 37.5 (#256)
| Benchmark | Kimi K2 (Jul 2025) | Llama 3-8B |
|---|---|---|
| LMArena Text | 1380 | 1166 |
| LMArena Creative Writing | 1350 | 1150 |
| LMArena Multi-Turn | 1371 | 1152 |
| 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 3-8B?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 25.5 on the Noometry Index.
Is Kimi K2 (Jul 2025) or Llama 3-8B better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 31.0 in the Noometry coding category.
How many benchmarks do Kimi K2 (Jul 2025) and Llama 3-8B share?
19 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Llama 3-8B has 34.