Model comparison
Llama 2-70B vs Qwen2.5 7B Instruct
Qwen2.5 7B Instruct is the stronger model overall, scoring 28.6 to 24.1 on the Noometry Index.
Last verified . 5 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and Qwen2.5 7B Instruct in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5 7B Instruct leads 48.8 to 32.5.
- The biggest single-benchmark swing is GPQA Diamond: 26.3% for Llama 2-70B and 35.5% for Qwen2.5 7B Instruct.
Side by side
| Llama 2-70B | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.1 | 28.6 |
| 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 | 35 | 15 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Llama 2-70B: 30.8 (#281), Qwen2.5 7B Instruct: 35.9 (#204)
| Benchmark | Llama 2-70B | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1079 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Llama 2-70B: —, Qwen2.5 7B Instruct: 23.5 (#117)
| Benchmark | Llama 2-70B | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Too close to call
Llama 2-70B: 13.7 (#324), Qwen2.5 7B Instruct: 14.3 (#317)
| Benchmark | Llama 2-70B | Qwen2.5 7B Instruct |
|---|---|---|
| DTBench | 41.6% | 47.7% |
| Epoch Capabilities Index | 113.59 | 118.44 |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1073 | — |
| LMCA | — | 6.4% |
| 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 Qwen2.5 7B Instruct leads
Llama 2-70B: 7.5 (#320), Qwen2.5 7B Instruct: 11.8 (#300)
| Benchmark | Llama 2-70B | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1091 | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Qwen2.5 7B Instruct leads
Llama 2-70B: 7.4 (#305), Qwen2.5 7B Instruct: 17.0 (#281)
| Benchmark | Llama 2-70B | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 26.3% | 35.5% |
| MMLU | 69.9% | 72.9% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1039 | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multilingual Not comparable
Llama 2-70B: 27.9 (#269), Qwen2.5 7B Instruct: —
| Benchmark | Llama 2-70B | Qwen2.5 7B Instruct |
|---|---|---|
| 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 Qwen2.5 7B Instruct leads
Llama 2-70B: 55.1 (#273), Qwen2.5 7B Instruct: 63.4 (#226)
| Benchmark | Llama 2-70B | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1071 | — |
Long Context Not comparable
Llama 2-70B: 32.2 (#265), Qwen2.5 7B Instruct: —
| Benchmark | Llama 2-70B | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1062 | — |
Writing & Preference Qwen2.5 7B Instruct leads
Llama 2-70B: 32.5 (#274), Qwen2.5 7B Instruct: 48.8 (#194)
| Benchmark | Llama 2-70B | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1115 | — |
| LMArena Creative Writing | 1075 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1088 | — |
Frequently asked questions
Is Llama 2-70B better than Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is the stronger model overall, scoring 28.6 to 24.1 on the Noometry Index.
Is Llama 2-70B or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 35.9 versus 30.8 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Qwen2.5 7B Instruct share?
5 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Qwen2.5 7B Instruct has 15.