Compare / Qwen3 14B vs GPT-5 Nano
Qwen3 14B vs GPT-5 Nano
Which is cheaper, which is more capable, and which does better at each kind of work, from 17 results on 3 sources that measured both models.
Qwen3 14B or GPT-5 Nano? The short answer
- GPT-5 Nano is cheaper: $0.14 against $0.15 per million tokens, 8% less.
- GPT-5 Nano scores higher on the Artificial Analysis Intelligence Index: 13.0 against 8.2.
- On our business benchmarks, Qwen3 14B ranks higher for writing and sticking to the facts.
- On our business benchmarks, GPT-5 Nano ranks higher for agents and tool use and reasoning and knowledge.
At a glance
| Qwen3 14B | GPT-5 Nano | |
|---|---|---|
| Price per million tokens | $0.12 in · $0.24 out | $0.050 in · $0.40 out |
| Blended (3 in : 1 out) | $0.15 | $0.14 |
| Cheapest host, blended | $0.13 (NextBit, INT4) | $0.069 (OpenAI) |
| Intelligence Index | 8.2 | 13.0 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 131,072 tokens | 400,000 tokens |
| Weights | Open | Closed |
| Developer based in | China | the US |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.
| Use case | Qwen3 14B | GPT-5 Nano |
|---|---|---|
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 120 of 161 | 50 of 161 |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 159 of 195 | 131 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 128 of 187 | 150 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 17 of 153 | 127 of 153 |
Every shared result
| Benchmark | Metric | Qwen3 14B | GPT-5 Nano |
|---|---|---|---|
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 8.20 | 13.0 |
| Artificial Analysisreported | GPQA Diamond% of questions | 60.4% | 67.6% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 4.5% | 9.5% |
| Artificial Analysisreported | IFBench% of instructions | 40.5% | 67.6% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 0.0% | 45.0% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 5.3% | 17.4% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 34.5% | 36.5% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Irrelevance detection% correct | 87.2% | 89.1% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Memory% correct | 19.6% | 24.7% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Multi-turn tasks% correct | 34.8% | 34.5% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Overall accuracy% correct | 41.0% | 51.5% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Relevance detection% correct | 87.5% | 93.8% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Single-turn calls (curated)% correct | 89.5% | 80.8% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Single-turn calls (user-contributed)% correct | 80.0% | 70.7% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Web search% correct | 10.5% | 72.5% |
| Vectara Hallucination Leaderboardreported | Answer rate% of documents | 99.9% | 100.0% |
| Vectara Hallucination Leaderboardreported | Hallucination rate% of summaries | 5.4% | 10.5% |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.
Quick answers
Is Qwen3 14B better than GPT-5 Nano?
It depends on the task. Among models available today, on our benchmarks and licensed sources, Qwen3 14B ranks higher for writing and sticking to the facts; GPT-5 Nano ranks higher for agents and tool use and reasoning and knowledge.
Which is cheaper, Qwen3 14B or GPT-5 Nano?
GPT-5 Nano costs $0.14 per million tokens (three input to one output), against $0.15 for Qwen3 14B.
Run Qwen3 14B and GPT-5 Nano on your own prompt
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