Model comparison
GPT-5.4 Pro vs Qwen3 14B
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 35.5 on the Noometry Index. Qwen3 14B costs 110× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.
Last verified . 5 shared benchmarks.
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. GPT-5.4 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-5.4 Pro leads 70.7 to 18.5.
- The biggest single-benchmark swing is Chess Puzzles: 58.6% for GPT-5.4 Pro and 4% for Qwen3 14B.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $30 / $180 for GPT-5.4 Pro.
- GPT-5.4 Pro accepts more context: 1.05M tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 Pro | Qwen3 14B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 58.9 | 35.5 |
| Released | 2026-03-05 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $30 | $0.35 |
| Output $ / M tokens | $180 | $1.40 |
| Results tracked | 16 | 12 |
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Category by category
Coding GPT-5.4 Pro leads
GPT-5.4 Pro: 43.2 (#90), Qwen3 14B: 37.3 (#195)
Agentic & Tool Use Not comparable
GPT-5.4 Pro: —, Qwen3 14B: 29.6 (#83)
| Benchmark | GPT-5.4 Pro | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning GPT-5.4 Pro leads
GPT-5.4 Pro: 70.7 (#13), Qwen3 14B: 18.5 (#280)
| Benchmark | GPT-5.4 Pro | Qwen3 14B |
|---|---|---|
| CritPt | 30% | 0% |
| Chess Puzzles | 58.6% | 4% |
| Epoch Capabilities Index | 158.93 | 138.23 |
| ARC-AGI-2 | 83.3% | — |
| SimpleBench | 74.1% | — |
| Kagi LLM Benchmark | — | 49.1% |
| ARC-AGI-1 | 94.5% | — |
| EnigmaEval | 23.8% | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
Math GPT-5.4 Pro leads
GPT-5.4 Pro: 72.4 (#22), Qwen3 14B: 38.6 (#133)
| Benchmark | GPT-5.4 Pro | Qwen3 14B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 82.5% | — |
| FrontierMath Tier 4 | 58.5% | — |
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| FrontierMath (Feb 2025 set) | 50% | — |
| FrontierMath Tier 4 (v1) | 37.5% | — |
Knowledge GPT-5.4 Pro leads
GPT-5.4 Pro: 68.3 (#7), Qwen3 14B: 39.3 (#134)
| Benchmark | GPT-5.4 Pro | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 94.6% | 63.8% |
| Vectara Hallucination Rate | 8.3% | 5.4% |
| Humanity's Last Exam | 44.3% | — |
| SimpleQA Verified | 46.3% | — |
Long Context Not comparable
GPT-5.4 Pro: —, Qwen3 14B: 38.1 (#204)
| Benchmark | GPT-5.4 Pro | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
Frequently asked questions
Is GPT-5.4 Pro better than Qwen3 14B?
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 35.5 on the Noometry Index. Qwen3 14B costs 110× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.4 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-5.4 Pro lists at $30 and $180.
Is GPT-5.4 Pro or Qwen3 14B better for coding?
GPT-5.4 Pro scores higher on coding benchmarks: 43.2 versus 37.3 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 Pro does, with 1.05M tokens against 131K.
How many benchmarks do GPT-5.4 Pro and Qwen3 14B share?
5 benchmarks have published results for both models. GPT-5.4 Pro has 16 scored results on Noometry and Qwen3 14B has 12.