Model comparison
Kimi K2.7 Code vs Llama 13b
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 24.4 on the Noometry Index.
Last verified . 1 shared benchmarks.
MetaSummary
- They share 1 benchmark with published results for both. Kimi K2.7 Code scores higher in 3 categories and Llama 13b in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 26.7.
Side by side
| Kimi K2.7 Code | Llama 13b | |
|---|---|---|
| Provider | Moonshot AI | Meta |
| Noometry Index | 43.3 | 24.4 |
| Released | 2026-06-12 | 2023-02-24 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 21 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Llama 13b: 21.4 (#337)
| Benchmark | Kimi K2.7 Code | Llama 13b |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 683 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Llama 13b: —
| Benchmark | Kimi K2.7 Code | Llama 13b |
|---|---|---|
| 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 13b: 14.0 (#329)
| Benchmark | Kimi K2.7 Code | Llama 13b |
|---|---|---|
| Epoch Capabilities Index | 149.97 | 100.58 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 728 |
| Surface Evolver Bench | 48.8% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Llama 13b: 26.7 (#256)
| Benchmark | Kimi K2.7 Code | Llama 13b |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 838 |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Kimi K2.7 Code: 53.5 (#57), Llama 13b: —
| Benchmark | Kimi K2.7 Code | Llama 13b |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Kimi K2.7 Code: —, Llama 13b: —
| Benchmark | Kimi K2.7 Code | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual Not comparable
Kimi K2.7 Code: —, Llama 13b: 16.6 (#297)
| Benchmark | Kimi K2.7 Code | Llama 13b |
|---|---|---|
| LMArena Non-English | — | 819 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Llama 13b: 36.7 (#305)
| Benchmark | Kimi K2.7 Code | Llama 13b |
|---|---|---|
| LMArena Instruction Following | — | 781 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Llama 13b: 13.8 (#312)
| Benchmark | Kimi K2.7 Code | Llama 13b |
|---|---|---|
| LMArena Text | — | 834 |
| LMArena Creative Writing | — | 794 |
| LMArena Multi-Turn | — | 753 |
Frequently asked questions
Is Kimi K2.7 Code better than Llama 13b?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 24.4 on the Noometry Index.
Is Kimi K2.7 Code or Llama 13b better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 21.4 in the Noometry coding category.
How many benchmarks do Kimi K2.7 Code and Llama 13b share?
1 benchmark has published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Llama 13b has 21.