Model comparison
GPT-5 Pro vs Qwen3 14B
GPT-5 Pro is the stronger model overall, scoring 46.2 to 35.0 on the Noometry Index. Qwen3 14B costs 67× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. GPT-5 Pro scores higher in 4 categories and Qwen3 14B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 39.2 to 18.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 76.8% for GPT-5 Pro and 49.1% for Qwen3 14B.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Qwen3 14B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.2 | 35.0 |
| Released | 2025-10-06 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 272K | 8K |
| Input $ / M tokens | $15 | $0.35 |
| Output $ / M tokens | $120 | $1.40 |
| Results tracked | 12 | 12 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 43.4 (#77), Qwen3 14B: 36.7 (#191)
Agentic & Tool Use Not comparable
GPT-5 Pro: —, Qwen3 14B: 29.4 (#78)
| Benchmark | GPT-5 Pro | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 39.2 (#52), Qwen3 14B: 18.1 (#272)
| Benchmark | GPT-5 Pro | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 76.8% | 49.1% |
| Epoch Capabilities Index | 150.26 | 138.23 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| ARC-AGI-1 | 70.2% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| EnigmaEval | 18.8% | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
Math GPT-5 Pro leads
GPT-5 Pro: 48.0 (#53), Qwen3 14B: 37.0 (#102)
| Benchmark | GPT-5 Pro | Qwen3 14B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.2 (#39), Qwen3 14B: 39.2 (#124)
| Benchmark | GPT-5 Pro | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Humanity's Last Exam | 31.6% | — |
| Vectara Hallucination Rate | — | 5.4% |
Long Context Not comparable
GPT-5 Pro: —, Qwen3 14B: 38.0 (#201)
| Benchmark | GPT-5 Pro | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
Frequently asked questions
Is GPT-5 Pro better than Qwen3 14B?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 35.0 on the Noometry Index. Qwen3 14B costs 67× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5 Pro or Qwen3 14B?
Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Qwen3 14B better for coding?
GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 36.7 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 131K.
How many benchmarks do GPT-5 Pro and Qwen3 14B share?
2 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen3 14B has 12.