Model comparison
Codellama 70b Instruct vs Qwen3.5-Flash
Qwen3.5-Flash is the stronger model overall, scoring 42.5 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 Qwen3.5-Flash in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Qwen3.5-Flash leads 50.5 to 24.8.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 70b Instruct | Qwen3.5-Flash | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 33.7 | 42.5 |
| Released | — | 2026-02-23 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 7 | 32 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | Codellama 70b Instruct | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | — | 1244 |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1412 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 221.8 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Qwen3.5-Flash: —
| Benchmark | Codellama 70b Instruct | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Codellama 70b Instruct: 20.1 (#242), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | Codellama 70b Instruct | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1403 |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 143.98 |
Math Not comparable
Codellama 70b Instruct: —, Qwen3.5-Flash: 37.4 (#158)
| Benchmark | Codellama 70b Instruct | Qwen3.5-Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| LMArena Math | — | 1407 |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Not comparable
Codellama 70b Instruct: —, Qwen3.5-Flash: 43.2 (#93)
| Benchmark | Codellama 70b Instruct | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| SimpleQA Verified | — | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1407 |
Multilingual Qwen3.5-Flash leads
Codellama 70b Instruct: 24.8 (#288), Qwen3.5-Flash: 50.5 (#121)
| Benchmark | Codellama 70b Instruct | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 992 | 1385 |
| LMArena Chinese | — | 1446 |
| LMArena French | — | 1412 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1368 |
| LMArena Korean | — | 1344 |
| LMArena Russian | — | 1379 |
| LMArena Spanish | — | 1400 |
Instruction Following Qwen3.5-Flash leads
Codellama 70b Instruct: 51.9 (#293), Qwen3.5-Flash: 72.6 (#139)
| Benchmark | Codellama 70b Instruct | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1024 | 1374 |
Long Context Not comparable
Codellama 70b Instruct: —, Qwen3.5-Flash: 42.4 (#124)
| Benchmark | Codellama 70b Instruct | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | — | 1392 |
Writing & Preference Qwen3.5-Flash leads
Codellama 70b Instruct: 33.4 (#277), Qwen3.5-Flash: 57.9 (#122)
| Benchmark | Codellama 70b Instruct | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1057 | 1397 |
| LMArena Creative Writing | — | 1343 |
| LMArena Multi-Turn | — | 1393 |
Frequently asked questions
Is Codellama 70b Instruct better than Qwen3.5-Flash?
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Qwen3.5-Flash better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 34.2 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Qwen3.5-Flash share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Qwen3.5-Flash has 32.