Model comparison
Qwen-14B vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 31.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. Qwen-14B scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.0 to 27.6.
Side by side
| Qwen-14B | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 31.4 | 43.0 |
| Released | 2023-09-24 | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 18 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen-14B: 31.2 (#288), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Qwen-14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1071 | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Qwen-14B: 19.6 (#257), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Qwen-14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1027 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| BIG-Bench Hard | 55% | — |
| Epoch Capabilities Index | 113.03 | — |
| LAMBADA | 71.1% | — |
| PIQA | 79.9% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Qwen-14B: 31.2 (#227), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Qwen-14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1068 | 1440 |
| Omni-MATH | — | 46.7% |
| GSM8K | 61.3% | — |
Knowledge Not comparable
Qwen-14B: —, Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Qwen-14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
| ARC (AI2) Challenge | 84.4% | — |
| BoolQ | 86.2% | — |
| MMLU | 66.3% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Qwen-14B: 27.5 (#275), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Qwen-14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1041 | 1407 |
| LMArena Chinese | 1077 | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Qwen-14B: 52.4 (#289), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Qwen-14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1031 | 1389 |
| IFEval | — | 81% |
Long Context Qwen3-Next 80B-A3B Instruct leads
Qwen-14B: 31.3 (#280), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Qwen-14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1028 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Qwen-14B: 27.6 (#299), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Qwen-14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1051 | 1417 |
| LMArena Creative Writing | 1028 | 1334 |
| LMArena Multi-Turn | 1022 | 1416 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Qwen-14B better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 31.4 on the Noometry Index.
Is Qwen-14B or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 31.2 in the Noometry coding category.
How many benchmarks do Qwen-14B and Qwen3-Next 80B-A3B Instruct share?
10 benchmarks have published results for both models. Qwen-14B has 18 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.