Model comparison
Codellama 70b Instruct vs Kimi K2.6
Kimi K2.6 is the stronger model overall, scoring 47.7 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
MetaSummary
- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and Kimi K2.6 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2.6 leads 68.5 to 33.4.
Side by side
| Codellama 70b Instruct | Kimi K2.6 | |
|---|---|---|
| Provider | Meta | Moonshot AI |
| Noometry Index | 33.7 | 47.7 |
| Released | — | 2026-04-20 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.95 |
| Output $ / M tokens | — | $4 |
| Results tracked | 7 | 51 |
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Category by category
Coding Kimi K2.6 leads
Codellama 70b Instruct: 37.6 (#193), Kimi K2.6: 50.7 (#43)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1509 |
| SciCode | — | 53.5% |
| WeirdML | — | 55.9% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1488 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 1,093 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Kimi K2.6: 21.9 (#137)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| OSWorld 2.0 | — | 4.6% |
| ExploitBench | — | 18.4% |
| GBAEval | — | 0.9% |
| GDP.pdf | — | 12% |
| Vending-Bench 2 | — | 6,205 |
Reasoning Kimi K2.6 leads
Codellama 70b Instruct: 20.1 (#242), Kimi K2.6: 40.5 (#55)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1470 |
| NYT Connections (extended) | — | 87.2% |
| CritPt | — | 8% |
| Chess Puzzles | — | 26% |
| EBR-Bench | — | 2.4% |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 90.9% |
| LMCA | — | 37.3% |
| Epoch Capabilities Index | — | 151.05 |
Math Not comparable
Codellama 70b Instruct: —, Kimi K2.6: 57.0 (#41)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 57.2% |
| FrontierMath Tier 4 | — | 25.6% |
| MathArena Final-Answer Competitions | — | 72.9% |
| OTIS Mock AIME 2024-2025 | — | 96.1% |
| ProofBench | — | 16% |
| LMArena Math | — | 1475 |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Not comparable
Codellama 70b Instruct: —, Kimi K2.6: 54.0 (#54)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| GPQA Diamond | — | 90.8% |
| SimpleQA Verified | — | 34.9% |
| Vectara Hallucination Rate | — | 10.8% |
| LMArena Expert | — | 1491 |
Multimodal Not comparable
Codellama 70b Instruct: —, Kimi K2.6: 31.6 (#103)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| LMArena Vision | — | 1283 |
| Blueprint-Bench 2 | — | 3.9% |
| Furniture Assembly | — | 21.7% |
| LMArena Document | — | 1451 |
Multilingual Kimi K2.6 leads
Codellama 70b Instruct: 24.8 (#288), Kimi K2.6: 54.9 (#37)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| LMArena Non-English | 992 | 1446 |
| LMArena Chinese | — | 1521 |
| LMArena French | — | 1471 |
| LMArena German | — | 1450 |
| LMArena Japanese | — | 1443 |
| LMArena Korean | — | 1427 |
| LMArena Russian | — | 1446 |
| LMArena Spanish | — | 1464 |
Instruction Following Kimi K2.6 leads
Codellama 70b Instruct: 51.9 (#293), Kimi K2.6: 76.3 (#43)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| LMArena Instruction Following | 1024 | 1451 |
Long Context Not comparable
Codellama 70b Instruct: —, Kimi K2.6: 44.9 (#52)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| LMArena Longer Query | — | 1468 |
Writing & Preference Kimi K2.6 leads
Codellama 70b Instruct: 33.4 (#277), Kimi K2.6: 68.5 (#26)
| Benchmark | Codellama 70b Instruct | Kimi K2.6 |
|---|---|---|
| LMArena Text | 1057 | 1455 |
| LMArena Creative Writing | — | 1434 |
| EQ-Bench Creative Writing | — | 1725 |
| EQ-Bench 4 | — | 1202 |
| LMArena Multi-Turn | — | 1453 |
Frequently asked questions
Is Codellama 70b Instruct better than Kimi K2.6?
Kimi K2.6 is the stronger model overall, scoring 47.7 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Kimi K2.6 better for coding?
Kimi K2.6 scores higher on coding benchmarks: 50.7 versus 37.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Kimi K2.6 share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Kimi K2.6 has 51.