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Head-to-head comparison

Qwen3 235B A22B Thinking 2507 vs Qwen3 32B

Qwen3 235B A22B Thinking 2507 (Qwen) and Qwen3 32B (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 235B A22B Thinking 2507 holds the stronger ModelCap Index position (#89 vs #138); and Qwen3 32B is 8.2× cheaper per output token ($0.28/1M vs $2.30/1M).

Which should you choose?

Choose Qwen3 235B A22B Thinking 2507 if…

  • you want the stronger overall ModelCap Index position — #89 against #138 (55.4 vs 39.8 points).
  • you want provider choice — 3 listed API providers against 2.
  • Arena coding is your yardstick — 1442 against 1407.
  • you want the more recently listed model — Qwen3 235B A22B Thinking 2507 was listed 25 July 2025, Qwen3 32B 28 April 2025.

Choose Qwen3 32B if…

  • API cost matters — $0.28/1M output tokens against $2.30/1M, about 8.2× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.08/1M against $0.23/1M.

Qwen3 235B A22B Thinking 2507 vs Qwen3 32B: specs, pricing and context

Specification comparison of Qwen3 235B A22B Thinking 2507 and Qwen3 32B
FieldQwen3 235B A22B Thinking 2507QwenQwen3 32BQwen
ModelCap Index position#89#138
Index score55.439.8
EvidenceMeasuredMeasured
Input price / 1M tokens$0.23$0.08
Output price / 1M tokens$2.30$0.28
Context window131K tokens131K tokens
Max output tokens118K16K
API providers listed32
Weight accessOpen weightsOpen weights
Input modalitiesTextText
First listed25 July 202528 April 2025
PublisherQwenQwen

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 235B A22B Thinking 2507 vs Qwen3 32B

Public benchmark boards where Qwen3 235B A22B Thinking 2507 or Qwen3 32B has a published result
BoardQwen3 235B A22B Thinking 2507Qwen3 32BLeads
Arena codingArena (LMArena)14421428–145714071383–1431Qwen3 235B A22B Thinking 2507
BFCL V4UC Berkeley (Gorilla)—48.7Function callingOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Qwen3 235B A22B Thinking 2507 vs Qwen3 32B: common questions

Is Qwen3 235B A22B Thinking 2507 better than Qwen3 32B?

Qwen3 235B A22B Thinking 2507 ranks higher on the ModelCap Index as of 22 September 2026: #89 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 235B A22B Thinking 2507 cheaper than Qwen3 32B?

Qwen3 32B is cheaper on output tokens: $0.28/1M against $2.30/1M. Input tokens are $0.23/1M for Qwen3 235B A22B Thinking 2507 and $0.08/1M for Qwen3 32B. 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 $1.61 for Qwen3 235B A22B Thinking 2507 versus $0.30 for Qwen3 32B. Qwen3 32B costs 81.4% 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 235B A22B Thinking 2507 or Qwen3 32B?

Both publish a 131K-token context window.

Which is better for coding, Qwen3 235B A22B Thinking 2507 or Qwen3 32B?

Arena coding: Qwen3 235B A22B Thinking 2507 1442, Qwen3 32B 1407 — Qwen3 235B A22B Thinking 2507 leads.

Are Qwen3 235B A22B Thinking 2507 and Qwen3 32B open-weight models?

Qwen3 235B A22B Thinking 2507: Open weights. Qwen3 32B: 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 235B A22B Thinking 2507 and Qwen3 32B?

ModelCap currently lists 3 API providers for Qwen3 235B A22B Thinking 2507 and 2 for Qwen3 32B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Qwen3 235B A22B Thinking 2507 vs Qwen3 32B 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.

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