Model comparison
Qwen3-Next 80B-A3B Instruct vs Sonar
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 37.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 30.1 to 20.3.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $1 / $1 for Sonar.
- Qwen3-Next 80B-A3B Instruct accepts more context: 131K tokens versus 128K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen3-Next 80B-A3B Instruct | Sonar | |
|---|---|---|
| Provider | Alibaba (Qwen) | Perplexity |
| Noometry Index | 42.5 | 37.8 |
| Released | 2025-09 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | 131K | 128K |
| Max output | 33K | 4K |
| Input $ / M tokens | $0.50 | $1 |
| Output $ / M tokens | $2 | $1 |
| Results tracked | 25 | 7 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 41.9 (#101), Sonar: 35.1 (#217)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Sonar |
|---|---|---|
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1441 | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 30.1 (#79), Sonar: 20.3 (#221)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Sonar |
|---|---|---|
| Kagi LLM Benchmark | 66.7% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1428 | — |
| LiveBench Data Analysis | — | 37.9% |
| LiveBench | — | 46.9% |
Math Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 36.3 (#118), Sonar: 31.3 (#197)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Sonar |
|---|---|---|
| Omni-MATH | 46.7% | — |
| LiveBench Math | — | 41.6% |
| LMArena Math | 1440 | — |
Knowledge Not comparable
Qwen3-Next 80B-A3B Instruct: 41.3 (#102), Sonar: —
| Benchmark | Qwen3-Next 80B-A3B Instruct | Sonar |
|---|---|---|
| MMLU-Pro | 78.6% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 63% | — |
| LMArena Expert | 1416 | — |
Multilingual Not comparable
Qwen3-Next 80B-A3B Instruct: 52.3 (#88), Sonar: —
| Benchmark | Qwen3-Next 80B-A3B Instruct | Sonar |
|---|---|---|
| LMArena Non-English | 1407 | — |
| LMArena Chinese | 1461 | — |
| LMArena French | 1415 | — |
| LMArena German | 1416 | — |
| LMArena Japanese | 1398 | — |
| LMArena Korean | 1366 | — |
| LMArena Russian | 1403 | — |
| LMArena Spanish | 1436 | — |
Instruction Following Too close to call
Qwen3-Next 80B-A3B Instruct: 71.0 (#154), Sonar: 71.5 (#146)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| IFEval | 81% | — |
| LMArena Instruction Following | 1388 | — |
Long Context Not comparable
Qwen3-Next 80B-A3B Instruct: 37.0 (#218), Sonar: —
| Benchmark | Qwen3-Next 80B-A3B Instruct | Sonar |
|---|---|---|
| Fiction.LiveBench | 55.6% | — |
| LMArena Longer Query | 1403 | — |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 58.2 (#116), Sonar: 52.6 (#166)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Sonar |
|---|---|---|
| LMArena Text | 1417 | — |
| LMArena Creative Writing | 1333 | — |
| WildBench | 80.7% | — |
| LMArena Multi-Turn | 1415 | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is Qwen3-Next 80B-A3B Instruct better than Sonar?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 37.8 on the Noometry Index.
Which is cheaper, Qwen3-Next 80B-A3B Instruct or Sonar?
Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; Sonar lists at $1 and $1.
Is Qwen3-Next 80B-A3B Instruct or Sonar better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Next 80B-A3B Instruct does, with 131K tokens against 128K.
How many benchmarks do Qwen3-Next 80B-A3B Instruct and Sonar share?
0 benchmarks have published results for both models. Qwen3-Next 80B-A3B Instruct has 25 scored results on Noometry and Sonar has 7.