Silicon-based flow provision
Qwen/QwQ-32B vs bai-qwen3-vl-235b-a22b-instruct
Output tokens cost $0.56 per million on Qwen/QwQ-32B and $1.10 per million on bai-qwen3-vl-235b-a22b-instruct. Input tokens cost $0.14 per million on Qwen/QwQ-32B and $0.27 per million on bai-qwen3-vl-235b-a22b-instruct. Cached input tokens are billed at $0.14 per million on Qwen/QwQ-32B and $0.27 per million on bai-qwen3-vl-235b-a22b-instruct. On the LMArena coding leaderboard Qwen/QwQ-32B scores 1385 and bai-qwen3-vl-235b-a22b-instruct scores 1466.
The Qwen3 series open-source models include hybrid models, thinking models, and non-thinking models, with both reasoning capabilities and general abilities reaching industry SOTA levels at the same scale.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Qwen/QwQ-32B, bai-qwen3-vl-235b-a22b-instruct?
Qwen/QwQ-32B: $0.56/M output tokens; bai-qwen3-vl-235b-a22b-instruct: $1.10/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
bai-qwen3-vl-235b-a22b-instruct: 1466; Qwen/QwQ-32B: 1385 (LMArena coding leaderboard).
Can I call Qwen/QwQ-32B and bai-qwen3-vl-235b-a22b-instruct with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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