Model comparison
Codellama 70b Instruct vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 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 1 category and Qwen3-30B-A3B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Qwen3-30B-A3B leads 49.5 to 24.8.
Side by side
| Codellama 70b Instruct | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 33.7 | 38.9 |
| Released | — | 2025-04-28 |
| Weights | Open | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 7 | 32 |
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Category by category
Coding Too close to call
Codellama 70b Instruct: 37.6 (#193), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1416 |
| BigCodeBench Complete | 49.6% | — |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Qwen3-30B-A3B leads
Codellama 70b Instruct: 20.1 (#242), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1398 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |
Math Not comparable
Codellama 70b Instruct: —, Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| LMArena Math | — | 1394 |
Knowledge Not comparable
Codellama 70b Instruct: —, Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
| LMArena Expert | — | 1396 |
Multilingual Qwen3-30B-A3B leads
Codellama 70b Instruct: 24.8 (#288), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 992 | 1372 |
| LMArena Chinese | — | 1433 |
| LMArena French | — | 1418 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1337 |
| LMArena Korean | — | 1331 |
| LMArena Russian | — | 1370 |
| LMArena Spanish | — | 1404 |
Instruction Following Qwen3-30B-A3B leads
Codellama 70b Instruct: 51.9 (#293), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1024 | 1363 |
Long Context Not comparable
Codellama 70b Instruct: —, Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | — | 40.6% |
| LMArena Longer Query | — | 1379 |
Writing & Preference Qwen3-30B-A3B leads
Codellama 70b Instruct: 33.4 (#277), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1057 | 1384 |
| LMArena Creative Writing | — | 1317 |
| Short-Story Creative Writing | — | 75.3% |
| LMArena Multi-Turn | — | 1378 |
Frequently asked questions
Is Codellama 70b Instruct better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Qwen3-30B-A3B better for coding?
They score almost the same on coding (37.6 vs 37.5); test both on your own repository before choosing.
How many benchmarks do Codellama 70b Instruct and Qwen3-30B-A3B share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Qwen3-30B-A3B has 32.