Model comparison
Llama 2-70B vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 24.4 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 14B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0% for Llama 2-70B and 66.4% for Qwen3 14B.
Side by side
| Llama 2-70B | Qwen3 14B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 35.5 |
| Released | 2023-07-18 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 35 | 12 |
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Category by category
Coding Qwen3 14B leads
Llama 2-70B: 31.4 (#286), Qwen3 14B: 37.3 (#195)
| Benchmark | Llama 2-70B | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1079 | — |
Agentic & Tool Use Not comparable
Llama 2-70B: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Llama 2-70B | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen3 14B leads
Llama 2-70B: 14.4 (#325), Qwen3 14B: 18.5 (#280)
| Benchmark | Llama 2-70B | Qwen3 14B |
|---|---|---|
| DTBench | 41.6% | 64% |
| Epoch Capabilities Index | 113.79 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1073 | — |
| LMCA | — | 18.2% |
| 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 14B leads
Llama 2-70B: 8.1 (#326), Qwen3 14B: 38.6 (#133)
| Benchmark | Llama 2-70B | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | 66.4% |
| LMArena Math | 1091 | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Qwen3 14B leads
Llama 2-70B: 7.4 (#310), Qwen3 14B: 39.3 (#134)
| Benchmark | Llama 2-70B | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 26.3% | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| 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: 27.7 (#274), Qwen3 14B: —
| Benchmark | Llama 2-70B | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1045 | — |
| LMArena Chinese | 995 | — |
| LMArena French | 1090 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Russian | 1083 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Not comparable
Llama 2-70B: 54.9 (#278), Qwen3 14B: —
| Benchmark | Llama 2-70B | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1071 | — |
Long Context Qwen3 14B leads
Llama 2-70B: 32.3 (#270), Qwen3 14B: 38.1 (#204)
| Benchmark | Llama 2-70B | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1062 | — |
Writing & Preference Not comparable
Llama 2-70B: 32.3 (#279), Qwen3 14B: —
| Benchmark | Llama 2-70B | Qwen3 14B |
|---|---|---|
| LMArena Text | 1115 | — |
| LMArena Creative Writing | 1075 | — |
| LMArena Multi-Turn | 1088 | — |
Frequently asked questions
Is Llama 2-70B better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 24.4 on the Noometry Index.
Is Llama 2-70B or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 31.4 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Qwen3 14B share?
4 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Qwen3 14B has 12.