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Comparison · 2 models · Updated Nov 2, 2026

Qwen3 VL 235B A22B Thinking vs Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro Preview 06-05 comes out ahead, 48 to 44 on our weighted score, though Qwen3 VL 235B A22B Thinking is 2.5× cheaper per token.

  1. Alibaba (Qwen)

    Qwen3 VL 235B A22B Thinking

    Released Sep 23, 2025

    44/100
    • ECI—
    • Price$0.50 / $3.95
    • Context131K
    Full specs Remove Qwen3 VL 235B A22B Thinking
  2. Our pick

    Google

    Gemini 2.5 Pro Preview 06-05

    Released Jun 5, 2025

    48/100
    • ECI—
    • Price$1.22 / $9.75
    • Context1.05M
    Full specs Remove Gemini 2.5 Pro Preview 06-05

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 2.5 Pro Preview 06-05 is our pick

Gemini 2.5 Pro Preview 06-05 is the better all-round choice, scoring 48/100 against Qwen3 VL 235B A22B Thinking (44). It leads on inputs & features and context window. Qwen3 VL 235B A22B Thinking wins on price. 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 235B A22B ThinkingQwen3 VL 235B A22B Thinking $1.36 · Gemini 2.5 Pro Preview 06-05 $3.35 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05 1,048,576 · Qwen3 VL 235B A22B Thinking 131,072 tokens
  • Widest inputsGemini 2.5 Pro Preview 06-05Qwen3 VL 235B A22B Thinking: Text, Images · Gemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio
  • Self-hostingQwen3 VL 235B A22B ThinkingPublishes downloadable weights
How the score is built
MeasureWeightQwen3 VL 235B A22B ThinkingGemini 2.5 Pro Preview 06-05
Price50%4224
Inputs & features30%6080
Context window20%2561
Overall100%44/10048/100

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 235B A22B Thinking vs Gemini 2.5 Pro Preview 06-05 specifications side by side
SpecificationQwen3 VL 235B A22B ThinkingAlibaba (Qwen)Gemini 2.5 Pro Preview 06-05Google
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.50 (best)$1.22
Output$3.95 (best)$9.75
Cached input——
Blended (3:1)$1.36 (best)$3.35
Long-context rateSame rateSame rate
Price sourceMedian of 5 providersMedian of 4 providers
Limits
Context window131,072 tokens1,048,576 tokens (best)
Max output32,768 tokens65,536 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoYes
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model ID——
API providers5 (best)4
ReleasedSep 23, 2025Jun 5, 2025
Knowledge cutoffMar 31, 2025Jan 31, 2025
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 235B A22B Thinking$12.90
  • Gemini 2.5 Pro Preview 06-05$31.69
04 — Questions

Which should you choose?

Which is better: Qwen3 VL 235B A22B Thinking or Gemini 2.5 Pro Preview 06-05?

Gemini 2.5 Pro Preview 06-05 is the better all-round choice, scoring 48/100 against Qwen3 VL 235B A22B Thinking (44). It leads on inputs & features and context window. Qwen3 VL 235B A22B Thinking wins on price. 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 235B A22B Thinking or Gemini 2.5 Pro Preview 06-05?

Qwen3 VL 235B A22B Thinking is cheaper at $0.50 input / $3.95 output per million tokens (median across 5 API providers). Gemini 2.5 Pro Preview 06-05 costs $1.22 input / $9.75 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $1.36 per million tokens for Qwen3 VL 235B A22B Thinking versus $3.35 for Gemini 2.5 Pro Preview 06-05 (2.5× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3 VL 235B A22B Thinking has not been scored yet and Gemini 2.5 Pro Preview 06-05 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 VL 235B A22B Thinking and Gemini 2.5 Pro Preview 06-05 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?

Gemini 2.5 Pro Preview 06-05 has the largest context window at 1,048,576 tokens, against 131,072 for Qwen3 VL 235B A22B Thinking. Maximum output per response: Qwen3 VL 235B A22B Thinking up to 32,768, Gemini 2.5 Pro Preview 06-05 up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Qwen3 VL 235B A22B Thinking accepts text and images; Gemini 2.5 Pro Preview 06-05 accepts text, images, PDFs and audio. Gemini 2.5 Pro Preview 06-05 handles the widest range of inputs.

Are any of these open source?

Qwen3 VL 235B A22B Thinking publishes its weights and can be self-hosted; Gemini 2.5 Pro Preview 06-05 is proprietary.

Which is newer?

Qwen3 VL 235B A22B Thinking is the newest, released Sep 23, 2025. Gemini 2.5 Pro Preview 06-05 came out Jun 5, 2025. Knowledge cutoff: Qwen3 VL 235B A22B Thinking Mar 31, 2025, Gemini 2.5 Pro Preview 06-05 Jan 31, 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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