Model comparison
Codellama 34b Instruct vs Kimi K3
Kimi K3 is the stronger model overall, scoring 59.5 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
MetaSummary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and Kimi K3 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K3 leads 76.6 to 28.2.
Side by side
| Codellama 34b Instruct | Kimi K3 | |
|---|---|---|
| Provider | Meta | Moonshot AI |
| Noometry Index | 30.8 | 59.5 |
| Released | — | 2026-07-16 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 1.05M |
| Input $ / M tokens | — | $3 |
| Output $ / M tokens | — | $15 |
| Results tracked | 14 | 53 |
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Category by category
Coding Kimi K3 leads
Codellama 34b Instruct: 28.5 (#314), Kimi K3: 61.0 (#10)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| LMArena Coding | 1046 | 1508 |
| DeepSWE | — | 68.5% |
| FrontierCode | — | 44.2% |
| LMArena WebDev | — | 1654 |
| FrontierSWE | — | 25.9% |
| SciCode | — | 59.5% |
| WeirdML | — | 82.6% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 1,524 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Kimi K3: 41.8 (#20)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| APEX-Agents | — | 50.6% |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 32% |
| GBAEval | — | 48.3% |
| GDP.pdf | — | 19% |
| Vending-Bench 2 | — | 5,165 |
Reasoning Kimi K3 leads
Codellama 34b Instruct: 19.6 (#255), Kimi K3: 63.0 (#17)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1496 |
| ARC-AGI-2 | — | 60.4% |
| SimpleBench | — | 60.7% |
| NYT Connections (extended) | — | 93.6% |
| ARC-AGI-1 | — | 94.5% |
| CritPt | — | 23.4% |
| Chess Puzzles | — | 39% |
| Mystery Game Puzzles | — | 26% |
| DTBench | — | 91.2% |
| LMCA | — | 52.7% |
| Surface Evolver Bench | — | 95% |
| Epoch Capabilities Index | — | 157.45 |
| ForecastBench | — | 61.1 |
Math Kimi K3 leads
Codellama 34b Instruct: 31.0 (#230), Kimi K3: 74.2 (#16)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| LMArena Math | 1056 | 1491 |
| FrontierMath (Tiers 1-3) | — | 72.2% |
| FrontierMath Tier 4 | — | 39% |
| MathArena Final-Answer Competitions | — | 87.8% |
| OTIS Mock AIME 2024-2025 | — | 97.2% |
| ProofBench | — | 87% |
Knowledge Not comparable
Codellama 34b Instruct: —, Kimi K3: 63.2 (#21)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| GPQA Diamond | — | 93.1% |
| SimpleQA Verified | — | 50.6% |
| LMArena Expert | — | 1521 |
Multimodal Not comparable
Codellama 34b Instruct: —, Kimi K3: 37.8 (#70)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| Blueprint-Bench 2 | — | 29.5% |
| Furniture Assembly | — | 34.2% |
Multilingual Kimi K3 leads
Codellama 34b Instruct: 25.8 (#284), Kimi K3: 56.3 (#21)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| LMArena Non-English | 1011 | 1466 |
| LMArena Chinese | 976 | 1529 |
| LMArena French | — | 1491 |
| LMArena German | — | 1488 |
| LMArena Japanese | — | 1487 |
| LMArena Korean | — | 1458 |
| LMArena Russian | — | 1482 |
| LMArena Spanish | — | 1472 |
Instruction Following Kimi K3 leads
Codellama 34b Instruct: 52.2 (#291), Kimi K3: 77.7 (#14)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| LMArena Instruction Following | 1028 | 1483 |
Long Context Kimi K3 leads
Codellama 34b Instruct: 30.9 (#284), Kimi K3: 45.8 (#29)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| LMArena Longer Query | 1013 | 1494 |
Writing & Preference Kimi K3 leads
Codellama 34b Instruct: 28.2 (#297), Kimi K3: 76.6 (#4)
| Benchmark | Codellama 34b Instruct | Kimi K3 |
|---|---|---|
| LMArena Text | 1066 | 1476 |
| LMArena Creative Writing | 1032 | 1454 |
| LMArena Multi-Turn | 1015 | 1488 |
| EQ-Bench Creative Writing | — | 2082 |
| EQ-Bench 4 | — | 1339 |
Frequently asked questions
Is Codellama 34b Instruct better than Kimi K3?
Kimi K3 is the stronger model overall, scoring 59.5 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Kimi K3 better for coding?
Kimi K3 scores higher on coding benchmarks: 61.0 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Kimi K3 share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Kimi K3 has 53.