Qwen3 14B (Reasoning)
AI model by Alibaba. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Qwen3 14B (Reasoning) is positioned in the mid-tier at $4.20/M output tokens. The benchmark profile is balanced — strongest on Coding Index (13.8) — making it a default choice for teams that need general-purpose reasoning without paying frontier-model prices.
Latency. On latency, Qwen3 14B (Reasoning) reports 61 tok/s output speed and 2790ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, Qwen3 14B (Reasoning) costs $0.77 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-09-06.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Qwen3 14B (Reasoning)Current | $0.35 | $4.20 | 61 tok/s |
| Muse Spark 1.2 (xhigh) | $1.25 | $4.25 | 234 tok/s |
| Muse Spark 1.3 (xhigh) | $1.25 | $4.25 | 186 tok/s |
| Muse Spark 1.1 (xhigh) | $1.25 | $4.25 | 179 tok/s |
| GLM-5.1 (Reasoning) | $1.28 | $4.07 | 51 tok/s |
| Inkling (xhigh) | $1.00 | $4.05 | 73 tok/s |