Model comparison
Codellama 70b Instruct vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 33.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 20.1.
Side by side
| Codellama 70b Instruct | Kimi K2.7 Code | |
|---|---|---|
| Provider | Meta | Moonshot AI |
| Noometry Index | 33.7 | 43.3 |
| Released | — | 2026-06-12 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.95 |
| Output $ / M tokens | — | $4 |
| Results tracked | 7 | 19 |
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Category by category
Coding Kimi K2.7 Code leads
Codellama 70b Instruct: 37.6 (#193), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | Codellama 70b Instruct | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
| BigCodeBench Instruct | 40.7% | — |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 886.23 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Kimi K2.7 Code: 24.0 (#122)
| Benchmark | Codellama 70b Instruct | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
Codellama 70b Instruct: 20.1 (#242), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | Codellama 70b Instruct | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | — | 57.9% |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1052 | — |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |
Math Not comparable
Codellama 70b Instruct: —, Kimi K2.7 Code: 52.9 (#48)
| Benchmark | Codellama 70b Instruct | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
Knowledge Not comparable
Codellama 70b Instruct: —, Kimi K2.7 Code: 53.5 (#57)
| Benchmark | Codellama 70b Instruct | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
Multilingual Not comparable
Codellama 70b Instruct: 24.8 (#288), Kimi K2.7 Code: —
| Benchmark | Codellama 70b Instruct | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 992 | — |
Instruction Following Not comparable
Codellama 70b Instruct: 51.9 (#293), Kimi K2.7 Code: —
| Benchmark | Codellama 70b Instruct | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1024 | — |
Writing & Preference Not comparable
Codellama 70b Instruct: 33.4 (#277), Kimi K2.7 Code: —
| Benchmark | Codellama 70b Instruct | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1057 | — |
Frequently asked questions
Is Codellama 70b Instruct better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Kimi K2.7 Code better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 37.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Kimi K2.7 Code share?
0 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Kimi K2.7 Code has 19.