Model comparison
Llama 3.2 1B vs Qwen2.5 Plus 1127
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 20.1 on the Noometry Index.
Last verified . 13 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Llama 3.2 1B scores higher in 0 categories and Qwen2.5 Plus 1127 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5 Plus 1127 leads 35.5 to 7.2.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.2 1B | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 20.1 | 38.8 |
| Released | 2024-09-24 | — |
| Weights | Open | Proprietary |
| Context window | 60K | — |
| Max output | 54K | — |
| Input $ / M tokens | $0.027 | — |
| Output $ / M tokens | $0.20 | — |
| Results tracked | 22 | 14 |
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Category by category
Coding Qwen2.5 Plus 1127 leads
Llama 3.2 1B: 21.1 (#338), Qwen2.5 Plus 1127: 38.5 (#175)
| Benchmark | Llama 3.2 1B | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Coding | 1070 | 1314 |
| BigCodeBench Instruct | 8.2% | — |
| BigCodeBench Complete | 11.3% | — |
Agentic & Tool Use Not comparable
Llama 3.2 1B: 14.6 (#150), Qwen2.5 Plus 1127: —
| Benchmark | Llama 3.2 1B | Qwen2.5 Plus 1127 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |
Reasoning Qwen2.5 Plus 1127 leads
Llama 3.2 1B: 16.2 (#308), Qwen2.5 Plus 1127: 25.9 (#141)
| Benchmark | Llama 3.2 1B | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Hard Prompts | 1044 | 1299 |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 101.99 | — |
Math Qwen2.5 Plus 1127 leads
Llama 3.2 1B: 10.4 (#313), Qwen2.5 Plus 1127: 36.1 (#174)
| Benchmark | Llama 3.2 1B | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | 1086 | 1298 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |
Knowledge Qwen2.5 Plus 1127 leads
Llama 3.2 1B: 7.2 (#312), Qwen2.5 Plus 1127: 35.5 (#183)
| Benchmark | Llama 3.2 1B | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | 1007 | 1289 |
| GPQA Diamond | 23.9% | — |
Multilingual Qwen2.5 Plus 1127 leads
Llama 3.2 1B: 23.8 (#292), Qwen2.5 Plus 1127: 41.9 (#201)
| Benchmark | Llama 3.2 1B | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | 973 | 1265 |
| LMArena Chinese | 959 | 1314 |
| LMArena German | 1014 | 1231 |
| LMArena Russian | 941 | 1271 |
| LMArena Japanese | — | 1207 |
Instruction Following Qwen2.5 Plus 1127 leads
Llama 3.2 1B: 52.4 (#290), Qwen2.5 Plus 1127: 67.2 (#199)
| Benchmark | Llama 3.2 1B | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | 1031 | 1275 |
Long Context Qwen2.5 Plus 1127 leads
Llama 3.2 1B: 31.9 (#274), Qwen2.5 Plus 1127: 39.2 (#184)
| Benchmark | Llama 3.2 1B | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | 1050 | 1292 |
Writing & Preference Qwen2.5 Plus 1127 leads
Llama 3.2 1B: 21.3 (#310), Qwen2.5 Plus 1127: 49.4 (#192)
| Benchmark | Llama 3.2 1B | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | 1055 | 1299 |
| LMArena Creative Writing | 1033 | 1262 |
| LMArena Multi-Turn | 1030 | 1299 |
| EQ-Bench Creative Writing | 200 | — |
Frequently asked questions
Is Llama 3.2 1B better than Qwen2.5 Plus 1127?
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 20.1 on the Noometry Index.
Is Llama 3.2 1B or Qwen2.5 Plus 1127 better for coding?
Qwen2.5 Plus 1127 scores higher on coding benchmarks: 38.5 versus 21.1 in the Noometry coding category.
How many benchmarks do Llama 3.2 1B and Qwen2.5 Plus 1127 share?
13 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Qwen2.5 Plus 1127 has 14.