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Head-to-head comparison

Qwen3 235B A22B Thinking 2507 vs Qwen3 30B A3B Instruct 2507

Qwen3 235B A22B Thinking 2507 (Qwen) and Qwen3 30B A3B Instruct 2507 (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 7 November 2026

As of 7 November 2026, Qwen3 235B A22B Thinking 2507 holds the stronger ModelCap Index position (#114 vs #140); Qwen3 30B A3B Instruct 2507 is 11.7× cheaper per output token ($0.30/1M vs $3.50/1M); and Qwen3 30B A3B Instruct 2507 offers the longer context window (262K vs 128K tokens).

Which should you choose?

Choose Qwen3 235B A22B Thinking 2507 if…

  • you want the stronger overall ModelCap Index position — #114 against #140 (52.8 vs 48.0 points).
  • Arena text is your yardstick — 1400 against 1382.
  • Arena coding is your yardstick — 1442 against 1437.

Choose Qwen3 30B A3B Instruct 2507 if…

  • API cost matters — $0.30/1M output tokens against $3.50/1M, about 11.7× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.10/1M against $0.45/1M.
  • you need the longer context window — 262K tokens against 128K.
  • you want provider choice — 3 listed API providers against 1.
  • you want the more recently listed model — Qwen3 30B A3B Instruct 2507 was listed 29 July 2025, Qwen3 235B A22B Thinking 2507 25 July 2025.

Qwen3 235B A22B Thinking 2507 vs Qwen3 30B A3B Instruct 2507: specs, pricing and context

Specification comparison of Qwen3 235B A22B Thinking 2507 and Qwen3 30B A3B Instruct 2507
FieldQwen3 235B A22B Thinking 2507QwenQwen3 30B A3B Instruct 2507Qwen
ModelCap Index position#114#140
Index score52.848.0
EvidenceMeasuredMeasured
Input price / 1M tokens$0.45$0.10
Output price / 1M tokens$3.50$0.30
Context window128K tokens262K tokens
Declared route output cap16K236K
API providers listed13
Weight accessOpen weightsOpen weights
Input modalitiesTextText
First listed25 July 202529 July 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 30B A3B Instruct 2507

Public benchmark boards where Qwen3 235B A22B Thinking 2507 or Qwen3 30B A3B Instruct 2507 has a published result
BoardQwen3 235B A22B Thinking 2507Qwen3 30B A3B Instruct 2507Leads
Arena textArena (LMArena)14001393–1406Not reported13821377–1387Not reportedQwen3 235B A22B Thinking 2507
Arena codingArena (LMArena)14421427–145614371429–1446Qwen3 235B A22B Thinking 2507
BFCL V4UC Berkeley (Gorilla)—41.4Function 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 30B A3B Instruct 2507: common questions

Is Qwen3 235B A22B Thinking 2507 better than Qwen3 30B A3B Instruct 2507?

Qwen3 235B A22B Thinking 2507 ranks higher on the ModelCap Index as of 7 November 2026: #114 against #140. 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 overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Qwen3 235B A22B Thinking 2507 cheaper than Qwen3 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507 is cheaper on output tokens: $0.30/1M against $3.50/1M. Input tokens are $0.45/1M for Qwen3 235B A22B Thinking 2507 and $0.10/1M for Qwen3 30B A3B Instruct 2507. 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 $2.65 for Qwen3 235B A22B Thinking 2507 versus $0.35 for Qwen3 30B A3B Instruct 2507. Qwen3 30B A3B Instruct 2507 costs 86.8% 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 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507 has the larger context window: 262K tokens against 128K. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.

Which is better for coding, Qwen3 235B A22B Thinking 2507 or Qwen3 30B A3B Instruct 2507?

Arena coding: Qwen3 235B A22B Thinking 2507 1442, Qwen3 30B A3B Instruct 2507 1437 — Qwen3 235B A22B Thinking 2507 leads.

Are Qwen3 235B A22B Thinking 2507 and Qwen3 30B A3B Instruct 2507 open-weight models?

Qwen3 235B A22B Thinking 2507: Open weights. Qwen3 30B A3B Instruct 2507: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.

Where can I run Qwen3 235B A22B Thinking 2507 and Qwen3 30B A3B Instruct 2507?

ModelCap currently lists 1 API provider for Qwen3 235B A22B Thinking 2507 and 3 for Qwen3 30B A3B Instruct 2507, 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 30B A3B Instruct 2507 comparison?

Every figure and ModelCap Index position comes from the same published snapshot dated 7 November 2026. Publication and page updates happen separately; use the snapshot date shown on the page.

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