Model comparison
Llama 3-70B vs Qwen2.5-VL 72B Instruct
Qwen2.5-VL 72B Instruct is the stronger model overall, scoring 29.9 to 28.8 on the Noometry Index.
Last verified . 1 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Llama 3-70B scores higher in 1 category and Qwen2.5-VL 72B Instruct in 1 category; 2 gaps are clear of the uncertainty.
Side by side
| Llama 3-70B | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.8 | 29.9 |
| Released | 2024-04-18 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $2.80 |
| Output $ / M tokens | — | $8.40 |
| Results tracked | 31 | 6 |
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Category by category
Coding Not comparable
Llama 3-70B: 35.8 (#218), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 3-70B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Llama 3-70B leads
Llama 3-70B: 21.1 (#139), Qwen2.5-VL 72B Instruct: 18.6 (#144)
Reasoning Qwen2.5-VL 72B Instruct leads
Llama 3-70B: 18.0 (#288), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | Llama 3-70B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | 36% |
| LMArena Hard Prompts | 1195 | — |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.93 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Not comparable
Llama 3-70B: 12.8 (#305), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 3-70B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |
Knowledge Not comparable
Llama 3-70B: 20.8 (#277), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 3-70B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| GPQA Diamond | 40.6% | — |
| LMArena Expert | 1149 | — |
| MMLU | 79.3% | — |
Multimodal Not comparable
Llama 3-70B: —, Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | Llama 3-70B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Llama 3-70B: 33.6 (#251), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 3-70B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Non-English | 1142 | — |
| LMArena Chinese | 1114 | — |
| LMArena French | 1232 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Russian | 1159 | — |
| LMArena Spanish | 1241 | — |
Instruction Following Not comparable
Llama 3-70B: 62.5 (#238), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 3-70B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1194 | — |
Long Context Not comparable
Llama 3-70B: 35.6 (#240), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 3-70B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1174 | — |
Writing & Preference Not comparable
Llama 3-70B: 42.8 (#231), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 3-70B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| LMArena Multi-Turn | 1223 | — |
Frequently asked questions
Is Llama 3-70B better than Qwen2.5-VL 72B Instruct?
Qwen2.5-VL 72B Instruct is the stronger model overall, scoring 29.9 to 28.8 on the Noometry Index.
How many benchmarks do Llama 3-70B and Qwen2.5-VL 72B Instruct share?
1 benchmark has published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.