Model comparison
GPT-5.3 Chat vs Qwen3-Next 80B-A3B Instruct
GPT-5.3 Chat and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.8 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 3 categories and Qwen3-Next 80B-A3B Instruct in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5.3 Chat leads 42.6 to 37.0.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- 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
| GPT-5.3 Chat | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.8 | 43.0 |
| Released | 2026-03-03 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 128K | 131K |
| Max output | 16K | 33K |
| Input $ / M tokens | $1.75 | $0.50 |
| Output $ / M tokens | $14 | $2 |
| Results tracked | 18 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
GPT-5.3 Chat: 41.4 (#124), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | GPT-5.3 Chat | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1408 | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
GPT-5.3 Chat: 28.5 (#102), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | GPT-5.3 Chat | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
Math Too close to call
GPT-5.3 Chat: 38.2 (#142), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | GPT-5.3 Chat | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1389 | 1440 |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
GPT-5.3 Chat: 38.8 (#140), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | GPT-5.3 Chat | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1397 | 1417 |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
Multilingual Qwen3-Next 80B-A3B Instruct leads
GPT-5.3 Chat: 50.3 (#124), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | GPT-5.3 Chat | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1382 | 1407 |
| LMArena Chinese | 1432 | 1460 |
| LMArena French | 1397 | 1413 |
| LMArena German | 1384 | 1417 |
| LMArena Japanese | 1352 | 1395 |
| LMArena Korean | 1346 | 1364 |
| LMArena Russian | 1400 | 1404 |
| LMArena Spanish | 1371 | 1435 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | GPT-5.3 Chat | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1378 | 1389 |
| IFEval | — | 81% |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | GPT-5.3 Chat | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1396 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | GPT-5.3 Chat | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1389 | 1417 |
| LMArena Creative Writing | 1355 | 1334 |
| LMArena Multi-Turn | 1412 | 1416 |
| EQ-Bench Creative Writing | 1690 | — |
| WildBench | — | 80.7% |
Frequently asked questions
Is GPT-5.3 Chat better than Qwen3-Next 80B-A3B Instruct?
GPT-5.3 Chat and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.8 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.3 Chat or Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 41.4 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 GPT-5.3 Chat and Qwen3-Next 80B-A3B Instruct share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.