Model comparison
Codellama 34b Instruct vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 30.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 31.0.
Side by side
| Codellama 34b Instruct | Kimi K2.7 Code | |
|---|---|---|
| Provider | Meta | Moonshot AI |
| Noometry Index | 30.8 | 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 | 14 | 19 |
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Category by category
Coding Kimi K2.7 Code leads
Codellama 34b Instruct: 28.5 (#314), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | Codellama 34b Instruct | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 886.23 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Kimi K2.7 Code: 24.0 (#122)
| Benchmark | Codellama 34b Instruct | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
Codellama 34b Instruct: 19.6 (#255), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | Codellama 34b Instruct | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | — | 57.9% |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1032 | — |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |
Math Kimi K2.7 Code leads
Codellama 34b Instruct: 31.0 (#230), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | Codellama 34b Instruct | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| LMArena Math | 1056 | — |
Knowledge Not comparable
Codellama 34b Instruct: —, Kimi K2.7 Code: 53.5 (#57)
| Benchmark | Codellama 34b Instruct | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
Multilingual Not comparable
Codellama 34b Instruct: 25.8 (#284), Kimi K2.7 Code: —
| Benchmark | Codellama 34b Instruct | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.2 (#291), Kimi K2.7 Code: —
| Benchmark | Codellama 34b Instruct | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context Not comparable
Codellama 34b Instruct: 30.9 (#284), Kimi K2.7 Code: —
| Benchmark | Codellama 34b Instruct | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1013 | — |
Writing & Preference Not comparable
Codellama 34b Instruct: 28.2 (#297), Kimi K2.7 Code: —
| Benchmark | Codellama 34b Instruct | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Kimi K2.7 Code better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Kimi K2.7 Code share?
0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Kimi K2.7 Code has 19.