Model comparison
Codellama 70b Instruct vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Qwen3-Next 80B-A3B Instruct leads 52.1 to 24.8.
Side by side
| Codellama 70b Instruct | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 33.7 | 43.0 |
| Released | — | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 7 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Codellama 70b Instruct: 37.6 (#193), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Codellama 70b Instruct | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1440 |
| BigCodeBench Complete | 49.6% | — |
| HumanEval+ | 65.9% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Codellama 70b Instruct: 20.1 (#242), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Codellama 70b Instruct | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
Math Not comparable
Codellama 70b Instruct: —, Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Codellama 70b Instruct | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Not comparable
Codellama 70b Instruct: —, Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Codellama 70b Instruct | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Codellama 70b Instruct: 24.8 (#288), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Codellama 70b Instruct | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 992 | 1407 |
| LMArena Chinese | — | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Codellama 70b Instruct: 51.9 (#293), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Codellama 70b Instruct | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1024 | 1389 |
| IFEval | — | 81% |
Long Context Not comparable
Codellama 70b Instruct: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Codellama 70b Instruct | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Codellama 70b Instruct: 33.4 (#277), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Codellama 70b Instruct | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1057 | 1417 |
| LMArena Creative Writing | — | 1334 |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is Codellama 70b Instruct better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 37.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Qwen3-Next 80B-A3B Instruct share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.