Model comparison
Llama 2-70B vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 24.1 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and Qwen3.5-9B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0% for Llama 2-70B and 61.7% for Qwen3.5-9B.
Side by side
| Llama 2-70B | Qwen3.5-9B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.1 | 33.3 |
| Released | 2023-07-18 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 35 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.5-9B leads
Llama 2-70B: 30.8 (#281), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Llama 2-70B | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1079 | — |
Agentic & Tool Use Not comparable
Llama 2-70B: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Llama 2-70B | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Llama 2-70B: 13.7 (#324), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Llama 2-70B | Qwen3.5-9B |
|---|---|---|
| DTBench | 41.6% | 71.2% |
| Epoch Capabilities Index | 113.59 | 139.45 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1073 | — |
| LMCA | — | 24.5% |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Qwen3.5-9B leads
Llama 2-70B: 7.5 (#320), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Llama 2-70B | Qwen3.5-9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | 61.7% |
| MathArena Final-Answer Competitions | — | 48.5% |
| LMArena Math | 1091 | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Qwen3.5-9B leads
Llama 2-70B: 7.4 (#305), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Llama 2-70B | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 26.3% | 79% |
| LMArena Expert | 1039 | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multilingual Not comparable
Llama 2-70B: 27.9 (#269), Qwen3.5-9B: —
| Benchmark | Llama 2-70B | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1045 | — |
| LMArena Chinese | 994 | — |
| LMArena French | 1089 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Russian | 1083 | — |
| LMArena Spanish | 1142 | — |
Instruction Following Not comparable
Llama 2-70B: 55.1 (#273), Qwen3.5-9B: —
| Benchmark | Llama 2-70B | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1071 | — |
Long Context Not comparable
Llama 2-70B: 32.2 (#265), Qwen3.5-9B: —
| Benchmark | Llama 2-70B | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1062 | — |
Writing & Preference Not comparable
Llama 2-70B: 32.5 (#274), Qwen3.5-9B: —
| Benchmark | Llama 2-70B | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1115 | — |
| LMArena Creative Writing | 1075 | — |
| LMArena Multi-Turn | 1088 | — |
Frequently asked questions
Is Llama 2-70B better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 24.1 on the Noometry Index.
Is Llama 2-70B or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.3 versus 30.8 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Qwen3.5-9B share?
4 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Qwen3.5-9B has 10.