Model comparison
Kimi K2.7 Code vs Llama 3-8B
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 25.5 on the Noometry Index.
Last verified . 4 shared benchmarks.
MetaSummary
- They share 4 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Llama 3-8B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 7.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Kimi K2.7 Code and 1.9% for Llama 3-8B.
Side by side
| Kimi K2.7 Code | Llama 3-8B | |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 43.3 | 25.5 |
| Released | 2026-06-12 | 2024-04-18 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 34 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Llama 3-8B: 31.0 (#289)
| Benchmark | Kimi K2.7 Code | Llama 3-8B |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| BigCodeBench Instruct | — | 31.9% |
| LMArena Coding | — | 1152 |
| BigCodeBench Complete | — | 36.9% |
| ALE-Bench | 886.23 | — |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Llama 3-8B: —
| Benchmark | Kimi K2.7 Code | Llama 3-8B |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Llama 3-8B: 14.3 (#326)
| Benchmark | Kimi K2.7 Code | Llama 3-8B |
|---|---|---|
| Chess Puzzles | 21% | 0% |
| Epoch Capabilities Index | 149.97 | 116.45 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| LMArena Hard Prompts | — | 1133 |
| DTBench | — | 43.9% |
| Surface Evolver Bench | 48.8% | — |
| Adversarial NLI | — | 57.3% |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Llama 3-8B: 8.8 (#323)
| Benchmark | Kimi K2.7 Code | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 1.9% |
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| LMArena Math | — | 1151 |
| MATH Level 5 | — | 6.1% |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Llama 3-8B: 7.8 (#308)
| Benchmark | Kimi K2.7 Code | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 87.9% | 26.1% |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1113 |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Not comparable
Kimi K2.7 Code: —, Llama 3-8B: 30.8 (#261)
| Benchmark | Kimi K2.7 Code | Llama 3-8B |
|---|---|---|
| LMArena Non-English | — | 1098 |
| LMArena Chinese | — | 1076 |
| LMArena French | — | 1159 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1004 |
| LMArena Russian | — | 1109 |
| LMArena Spanish | — | 1173 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Llama 3-8B: 58.4 (#260)
| Benchmark | Kimi K2.7 Code | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | — | 1127 |
Long Context Not comparable
Kimi K2.7 Code: —, Llama 3-8B: 34.2 (#251)
| Benchmark | Kimi K2.7 Code | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | — | 1128 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Llama 3-8B: 37.5 (#256)
| Benchmark | Kimi K2.7 Code | Llama 3-8B |
|---|---|---|
| LMArena Text | — | 1166 |
| LMArena Creative Writing | — | 1150 |
| LMArena Multi-Turn | — | 1152 |
Frequently asked questions
Is Kimi K2.7 Code better than Llama 3-8B?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 25.5 on the Noometry Index.
Is Kimi K2.7 Code or Llama 3-8B better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 31.0 in the Noometry coding category.
How many benchmarks do Kimi K2.7 Code and Llama 3-8B share?
4 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Llama 3-8B has 34.