Qwen3 32B (Qwen) and Qwen3 VL 235B A22B Thinking (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 22 September 2026
As of 22 September 2026, Qwen3 VL 235B A22B Thinking holds the stronger ModelCap Index position (#92 vs #138); and Qwen3 32B is 14.3× cheaper per output token ($0.28/1M vs $4.00/1M).
Evidence: 2 public benchmark observations across 2 boards · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Qwen3 32B vs Qwen3 VL 235B A22B Thinking
Public benchmark boards where Qwen3 32B or Qwen3 VL 235B A22B Thinking has a published result
Qwen3 32B vs Qwen3 VL 235B A22B Thinking: common questions
Is Qwen3 32B better than Qwen3 VL 235B A22B Thinking?
Qwen3 VL 235B A22B Thinking ranks higher on the ModelCap Index as of 22 September 2026: #92 against #138. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
Is Qwen3 32B cheaper than Qwen3 VL 235B A22B Thinking?
Qwen3 32B is cheaper on output tokens: $0.28/1M against $4.00/1M. Input tokens are $0.08/1M for Qwen3 32B and $0.40/1M for Qwen3 VL 235B A22B Thinking. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.30 for Qwen3 32B versus $2.80 for Qwen3 VL 235B A22B Thinking. Qwen3 32B costs 89.3% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, Qwen3 32B or Qwen3 VL 235B A22B Thinking?
Both publish a 131K-token context window.
Which is better for coding, Qwen3 32B or Qwen3 VL 235B A22B Thinking?
Are Qwen3 32B and Qwen3 VL 235B A22B Thinking open-weight models?
Qwen3 32B: Open weights. Qwen3 VL 235B A22B Thinking: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run Qwen3 32B and Qwen3 VL 235B A22B Thinking?
ModelCap currently lists 2 API providers for Qwen3 32B and 2 for Qwen3 VL 235B A22B Thinking, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Qwen3 32B vs Qwen3 VL 235B A22B Thinking comparison?
Every figure comes from the sealed ModelCap dataset published 22 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.