Model comparison
Codellama 34b Instruct vs Kimi K2 (Jul 2025)
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 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 K2 (Jul 2025) in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.3 to 28.2.
Side by side
| Codellama 34b Instruct | Kimi K2 (Jul 2025) | |
|---|---|---|
| Provider | Meta | Moonshot AI |
| Noometry Index | 30.8 | 41.2 |
| Released | — | 2025-07-12 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.57 |
| Output $ / M tokens | — | $2.30 |
| Results tracked | 14 | 42 |
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Category by category
Coding Kimi K2 (Jul 2025) leads
Codellama 34b Instruct: 28.5 (#314), Kimi K2 (Jul 2025): 42.4 (#102)
| Benchmark | Codellama 34b Instruct | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Coding | 1046 | 1399 |
| SWE-bench Verified (bash only) | — | 63.4% |
| Aider Polyglot | — | 59.1% |
| GSO | — | 4.9% |
| WeirdML | — | 42.8% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 597.5 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Kimi K2 (Jul 2025): 32.4 (#64)
| Benchmark | Codellama 34b Instruct | Kimi K2 (Jul 2025) |
|---|---|---|
| Terminal-Bench | — | 35.7% |
| Berkeley Function Calling Leaderboard | — | 59.1% |
| METR Time Horizons | — | 59.2% |
Reasoning Kimi K2 (Jul 2025) leads
Codellama 34b Instruct: 19.6 (#255), Kimi K2 (Jul 2025): 23.3 (#179)
| Benchmark | Codellama 34b Instruct | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1384 |
| SimpleBench | — | 26.3% |
| Kagi LLM Benchmark | — | 64.4% |
| Epoch Capabilities Index | — | 146.01 |
| ForecastBench | — | 60.2 |
Math Kimi K2 (Jul 2025) leads
Codellama 34b Instruct: 31.0 (#230), Kimi K2 (Jul 2025): 42.7 (#83)
| Benchmark | Codellama 34b Instruct | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Math | 1056 | 1397 |
| Omni-MATH | — | 65.4% |
| FrontierMath (Feb 2025 set) | — | 21.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Not comparable
Codellama 34b Instruct: —, Kimi K2 (Jul 2025): 37.3 (#157)
| Benchmark | Codellama 34b Instruct | Kimi K2 (Jul 2025) |
|---|---|---|
| MMLU-Pro | — | 81.9% |
| Confabulations | — | 20.4% |
| Vectara Hallucination Rate | — | 17.9% |
| GPQA (HELM) | — | 65.3% |
| LMArena Expert | — | 1365 |
Multilingual Kimi K2 (Jul 2025) leads
Codellama 34b Instruct: 25.8 (#284), Kimi K2 (Jul 2025): 49.6 (#130)
| Benchmark | Codellama 34b Instruct | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | 1011 | 1372 |
| LMArena Chinese | 976 | 1415 |
| LMArena French | — | 1379 |
| LMArena German | — | 1387 |
| LMArena Japanese | — | 1349 |
| LMArena Korean | — | 1325 |
| LMArena Russian | — | 1385 |
| LMArena Spanish | — | 1386 |
Instruction Following Kimi K2 (Jul 2025) leads
Codellama 34b Instruct: 52.2 (#291), Kimi K2 (Jul 2025): 71.1 (#156)
| Benchmark | Codellama 34b Instruct | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Instruction Following | 1028 | 1348 |
| IFEval | — | 85% |
Long Context Kimi K2 (Jul 2025) leads
Codellama 34b Instruct: 30.9 (#284), Kimi K2 (Jul 2025): 41.2 (#145)
| Benchmark | Codellama 34b Instruct | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Longer Query | 1013 | 1353 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |
Writing & Preference Kimi K2 (Jul 2025) leads
Codellama 34b Instruct: 28.2 (#297), Kimi K2 (Jul 2025): 62.3 (#78)
| Benchmark | Codellama 34b Instruct | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Text | 1066 | 1380 |
| LMArena Creative Writing | 1032 | 1350 |
| LMArena Multi-Turn | 1015 | 1371 |
| Short-Story Creative Writing | — | 85.6% |
| EQ-Bench Creative Writing | — | 1666 |
| WildBench | — | 86.2% |
Frequently asked questions
Is Codellama 34b Instruct better than Kimi K2 (Jul 2025)?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Kimi K2 (Jul 2025) better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Kimi K2 (Jul 2025) share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Kimi K2 (Jul 2025) has 42.