Model comparison
Qwen2.5 Plus 1127 vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 38.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Qwen2.5 Plus 1127 scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Qwen3-Next 80B-A3B Instruct leads 52.3 to 42.1.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen2.5 Plus 1127 | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 38.1 | 42.5 |
| Released | — | 2025-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 14 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen2.5 Plus 1127: 37.9 (#171), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Qwen2.5 Plus 1127 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1314 | 1441 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Qwen2.5 Plus 1127: 24.8 (#139), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Qwen2.5 Plus 1127 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1299 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
Math Qwen3-Next 80B-A3B Instruct leads
Qwen2.5 Plus 1127: 33.5 (#175), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Qwen2.5 Plus 1127 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1298 | 1440 |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Qwen2.5 Plus 1127: 34.9 (#179), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Qwen2.5 Plus 1127 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1289 | 1416 |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Qwen2.5 Plus 1127: 42.1 (#196), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Qwen2.5 Plus 1127 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1265 | 1407 |
| LMArena Chinese | 1314 | 1461 |
| LMArena German | 1231 | 1416 |
| LMArena Japanese | 1207 | 1398 |
| LMArena Russian | 1271 | 1403 |
| LMArena French | — | 1415 |
| LMArena Korean | — | 1366 |
| LMArena Spanish | — | 1436 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Qwen2.5 Plus 1127: 67.4 (#194), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Qwen2.5 Plus 1127 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1275 | 1388 |
| IFEval | — | 81% |
Long Context Qwen2.5 Plus 1127 leads
Qwen2.5 Plus 1127: 39.2 (#180), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Qwen2.5 Plus 1127 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1292 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Qwen2.5 Plus 1127: 49.5 (#186), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Qwen2.5 Plus 1127 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1299 | 1417 |
| LMArena Creative Writing | 1262 | 1333 |
| LMArena Multi-Turn | 1299 | 1415 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Qwen2.5 Plus 1127 better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 38.1 on the Noometry Index.
Is Qwen2.5 Plus 1127 or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 37.9 in the Noometry coding category.
How many benchmarks do Qwen2.5 Plus 1127 and Qwen3-Next 80B-A3B Instruct share?
14 benchmarks have published results for both models. Qwen2.5 Plus 1127 has 14 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.