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Comparison · 2 models · Updated Nov 2, 2026

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

Qwen3 VL 30B A3B Instruct comes out ahead, 62 to 42 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Alibaba (Qwen)

    Qwen3 VL 30B A3B Instruct

    Released Oct 4, 2025

    62/100
    • ECI—
    • Price$0.15 / $0.60
    • Context262K
    Full specs Remove Qwen3 VL 30B A3B Instruct

  2. Alibaba (Qwen)

    Qwen3 235B-A22B Thinking 2507

    Released Jul 25, 2025

    42/100
    • ECI143.8
    • Price$0.30 / $2.90
    • Context262K
    Full specs Remove Qwen3 235B-A22B Thinking 2507

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen3 VL 30B A3B Instruct is our pick

Qwen3 VL 30B A3B Instruct is the better all-round choice, scoring 62/100 against Qwen3 235B-A22B Thinking 2507 (42). It leads on price and inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceQwen3 VL 30B A3B InstructQwen3 VL 30B A3B Instruct $0.263 · Qwen3 235B-A22B Thinking 2507 $0.95 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameQwen3 VL 30B A3B Instruct 262,144 · Qwen3 235B-A22B Thinking 2507 262,144 tokens
  • Widest inputsQwen3 VL 30B A3B InstructQwen3 VL 30B A3B Instruct: Text, Images, Video · Qwen3 235B-A22B Thinking 2507: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen3 VL 30B A3B InstructQwen3 235B-A22B Thinking 2507
Price50%7449
Inputs & features30%6035
Context window20%3737
Overall100%62/10042/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Qwen3 VL 30B A3B Instruct vs Qwen3 235B-A22B Thinking 2507 specifications side by side
SpecificationQwen3 VL 30B A3B InstructAlibaba (Qwen)Qwen3 235B-A22B Thinking 2507Alibaba (Qwen)
Capability
Capabilities Index (ECI)—143.8
ECI rank—#93 of 165
GPQA DiamondGraduate-level science questions—80.1%
OTIS Mock AIME 2024–2025Competition mathematics—86.7%
SimpleQA VerifiedShort factual questions—40.4%
Price per million tokens
Input$0.15 (best)$0.30
Output$0.60 (best)$2.90
Cached input——
Blended (3:1)$0.263 (best)$0.95
Long-context rateSame rateSame rate
Price sourceMedian of 13 providersMedian of 11 providers
Limits
Context window262,144 tokens262,144 tokens
Max output32,768 tokens81,920 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoYesNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenApache-2.0OpenApache 2.0
API model ID——
API providers13 (best)12
ReleasedOct 4, 2025Jul 25, 2025
Knowledge cutoff——
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Qwen3 VL 30B A3B Instruct$2.70
  • Qwen3 235B-A22B Thinking 2507$8.80
04 — Questions

Which should you choose?

Which is better: Qwen3 VL 30B A3B Instruct or Qwen3 235B-A22B Thinking 2507?

Qwen3 VL 30B A3B Instruct is the better all-round choice, scoring 62/100 against Qwen3 235B-A22B Thinking 2507 (42). It leads on price and inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Qwen3 VL 30B A3B Instruct or Qwen3 235B-A22B Thinking 2507?

Qwen3 VL 30B A3B Instruct is cheaper at $0.15 input / $0.60 output per million tokens (median across 13 API providers). Qwen3 235B-A22B Thinking 2507 costs $0.30 input / $2.90 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for Qwen3 VL 30B A3B Instruct versus $0.95 for Qwen3 235B-A22B Thinking 2507 (3.6× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3 VL 30B A3B Instruct has not been scored yet and Qwen3 235B-A22B Thinking 2507 has an ECI of 143.8.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 VL 30B A3B Instruct and Qwen3 235B-A22B Thinking 2507 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen3 VL 30B A3B Instruct and Qwen3 235B-A22B Thinking 2507 share the same 262,144-token context window. Maximum output per response: Qwen3 VL 30B A3B Instruct up to 32,768, Qwen3 235B-A22B Thinking 2507 up to 81,920 tokens.

Which can read images, PDFs, audio or video?

Qwen3 VL 30B A3B Instruct accepts text, images and video; Qwen3 235B-A22B Thinking 2507 accepts text. Qwen3 VL 30B A3B Instruct handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (Apache-2.0 and Apache 2.0), so you can self-host them.

Which is newer?

Qwen3 VL 30B A3B Instruct is the newest, released Oct 4, 2025. Qwen3 235B-A22B Thinking 2507 came out Jul 25, 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.

05 — Keep comparing

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