# 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.

- Canonical page: https://noometry.com/compare/codellama-70b-instruct-vs-qwen3-30b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 4

## 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.

## Snapshot

| | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 33.7 | 38.9 |
| Rank | 237 | 179 |
| Context | — | 41K |
| Input $/M | — | $0.12 |
| Output $/M | — | $0.50 |
| Weights | Open | Open |

## Coding

- 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

- Codellama 70b Instruct: —
- Qwen3-30B-A3B: 29.8 (#82)

| Benchmark | Codellama 70b Instruct | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |

## Reasoning

- 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

- 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

- 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

- 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

- 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

- 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

- 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 |

## FAQ

### 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.