Model comparison
GPT-3.5-turbo vs Qwen3 Coder Next
Qwen3 Coder Next is the stronger model overall, scoring 33.8 to 23.1 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-3.5-turbo scores higher in 0 categories and Qwen3 Coder Next in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3 Coder Next leads 35.8 to 23.5.
- The biggest single-benchmark swing is WeirdML: 3.5% for GPT-3.5-turbo and 34.4% for Qwen3 Coder Next.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $0.50 / $1.50 for GPT-3.5-turbo.
- Qwen3 Coder Next accepts more context: 262K tokens versus 16K.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.
Side by side
| GPT-3.5-turbo | Qwen3 Coder Next | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 23.1 | 33.8 |
| Released | 2023-03-01 | 2026-02-02 |
| Weights | Proprietary | Open |
| Context window | 16K | 262K |
| Max output | 4K | 66K |
| Input $ / M tokens | $0.50 | $0.12 |
| Output $ / M tokens | $1.50 | $0.80 |
| Results tracked | 44 | 3 |
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Category by category
Coding Qwen3 Coder Next leads
GPT-3.5-turbo: 23.5 (#326), Qwen3 Coder Next: 35.8 (#206)
| Benchmark | GPT-3.5-turbo | Qwen3 Coder Next |
|---|---|---|
| WeirdML | 3.5% | 34.4% |
| SciCode | — | 32.3% |
| BigCodeBench Instruct | 39.1% | — |
| LMArena Coding | 1137 | — |
| BigCodeBench Complete | 50.6% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Qwen3 Coder Next: —
| Benchmark | GPT-3.5-turbo | Qwen3 Coder Next |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning Qwen3 Coder Next leads
GPT-3.5-turbo: 13.3 (#328), Qwen3 Coder Next: 21.7 (#191)
| Benchmark | GPT-3.5-turbo | Qwen3 Coder Next |
|---|---|---|
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1108 | — |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| Epoch Capabilities Index | 118.48 | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |
Math Not comparable
GPT-3.5-turbo: 6.0 (#321), Qwen3 Coder Next: —
| Benchmark | GPT-3.5-turbo | Qwen3 Coder Next |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| LMArena Math | 1142 | — |
| MATH Level 5 | 15.9% | — |
| GSM8K | 57.8% | — |
Knowledge Not comparable
GPT-3.5-turbo: 10.0 (#298), Qwen3 Coder Next: —
| Benchmark | GPT-3.5-turbo | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 28% | — |
| LMArena Expert | 1070 | — |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Not comparable
GPT-3.5-turbo: 31.6 (#253), Qwen3 Coder Next: —
| Benchmark | GPT-3.5-turbo | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1108 | — |
| LMArena Chinese | 1075 | — |
| LMArena French | 1117 | — |
| LMArena German | 1090 | — |
| LMArena Japanese | 1043 | — |
| LMArena Korean | 1019 | — |
| LMArena Russian | 1123 | — |
| LMArena Spanish | 1120 | — |
Instruction Following Not comparable
GPT-3.5-turbo: 58.1 (#257), Qwen3 Coder Next: —
| Benchmark | GPT-3.5-turbo | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1119 | — |
Long Context Not comparable
GPT-3.5-turbo: 34.0 (#249), Qwen3 Coder Next: —
| Benchmark | GPT-3.5-turbo | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1121 | — |
Writing & Preference Not comparable
GPT-3.5-turbo: 25.4 (#300), Qwen3 Coder Next: —
| Benchmark | GPT-3.5-turbo | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1125 | — |
| LMArena Creative Writing | 1092 | — |
| EQ-Bench Creative Writing | 451 | — |
| LMArena Multi-Turn | 1117 | — |
Frequently asked questions
Is GPT-3.5-turbo better than Qwen3 Coder Next?
Qwen3 Coder Next is the stronger model overall, scoring 33.8 to 23.1 on the Noometry Index.
Which is cheaper, GPT-3.5-turbo or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; GPT-3.5-turbo lists at $0.50 and $1.50.
Is GPT-3.5-turbo or Qwen3 Coder Next better for coding?
Qwen3 Coder Next scores higher on coding benchmarks: 35.8 versus 23.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Coder Next does, with 262K tokens against 16K.
How many benchmarks do GPT-3.5-turbo and Qwen3 Coder Next share?
1 benchmark has published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Qwen3 Coder Next has 3.