Model comparison
Llama 2-7B vs Qwen2.5 7B Instruct
Llama 2-7B and Qwen2.5 7B Instruct score almost the same on the Noometry Index (29.1 vs 29.0), so choose on price, context window or the category you care about most.
Last verified . 3 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Llama 2-7B scores higher in 3 categories and Qwen2.5 7B Instruct in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5 7B Instruct leads 48.8 to 28.0.
Side by side
| Llama 2-7B | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 29.0 |
| Released | 2023-07-18 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 29 | 15 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Llama 2-7B: 29.2 (#307), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1002 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Too close to call
Llama 2-7B: 15.7 (#312), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| Epoch Capabilities Index | 99.06 | 118.51 |
| LMArena Hard Prompts | 1009 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 30.7 (#233), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1042 | — |
| GSM8K | 16.7% | — |
Knowledge Llama 2-7B leads
Llama 2-7B: 28.2 (#248), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| MMLU | 45.8% | 72.9% |
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen2.5 7B Instruct: —
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Not comparable
Llama 2-7B: 23.8 (#293), Qwen2.5 7B Instruct: —
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Qwen2.5 7B Instruct leads
Llama 2-7B: 50.8 (#298), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1006 | — |
Long Context Not comparable
Llama 2-7B: 30.4 (#287), Qwen2.5 7B Instruct: —
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 999 | — |
Writing & Preference Qwen2.5 7B Instruct leads
Llama 2-7B: 28.0 (#298), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Llama 2-7B | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1029 | — |
Frequently asked questions
Is Llama 2-7B better than Qwen2.5 7B Instruct?
Llama 2-7B and Qwen2.5 7B Instruct score almost the same on the Noometry Index (29.1 vs 29.0), so choose on price, context window or the category you care about most.
Is Llama 2-7B or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Qwen2.5 7B Instruct share?
3 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen2.5 7B Instruct has 15.