ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Computer Use Preview vs MiniMax-M2 vs Qwen3-VL Plus

Qwen3-VL Plus comes out ahead, 56 to 48 and 35 on our weighted score.

  1. Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    35/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
    Full specs Remove Gemini 2.5 Computer Use Preview

  2. MiniMax

    MiniMax-M2

    Released Oct 27, 2025

    48/100
    • ECI—
    • Price$0.30 / $1.20
    • Context205K
    Full specs Remove MiniMax-M2
  3. Our pick

    Alibaba (Qwen)

    Qwen3-VL Plus

    Released Sep 23, 2025

    56/100
    • ECI—
    • Price$0.20 / $1.60
    • Context262K
    Full specs Remove Qwen3-VL Plus
01 — Verdict

Qwen3-VL Plus is our pick

Qwen3-VL Plus is the better all-round choice, scoring 56/100 against MiniMax-M2 (48) and Gemini 2.5 Computer Use Preview (35). It leads on context window. 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 priceMiniMax-M2MiniMax-M2 $0.525 · Qwen3-VL Plus $0.55 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
  • Longest contextQwen3-VL PlusQwen3-VL Plus 262,144 · MiniMax-M2 204,800 · Gemini 2.5 Computer Use Preview 128,000 tokens
  • Widest inputsGemini 2.5 Computer Use Preview and Qwen3-VL PlusGemini 2.5 Computer Use Preview: Text, Images · MiniMax-M2: Text · Qwen3-VL Plus: Text, Images
  • Self-hostingMiniMax-M2Publishes downloadable weights
How the score is built
MeasureWeightGemini 2.5 Computer Use PreviewMiniMax-M2Qwen3-VL Plus
Price50%246362
Inputs & features30%603560
Context window20%243237
Overall100%35/10048/10056/100

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.

Gemini 2.5 Computer Use Preview vs MiniMax-M2 vs Qwen3-VL Plus specifications side by side
SpecificationGemini 2.5 Computer Use PreviewGoogleMiniMax-M2MiniMaxQwen3-VL PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.25$0.30$0.20 (best)
Output$10.00$1.20 (best)$1.60
Cached input———
Blended (3:1)$3.44$0.525 (best)$0.55
Long-context rateOver 200K: $2.50 / $15.00Same rateSame rate
Price sourceOfficial Google APIOfficial MiniMax (minimax.io) APIOfficial Alibaba API
Limits
Context window128,000 tokens204,800 tokens262,144 tokens (best)
Max output64,000 tokens131,072 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsProprietaryOpenProprietary
API model IDgemini-2.5-computer-use-preview-10-2025MiniMax-M2qwen3-vl-plus
API providers213 (best)6
ReleasedOct 7, 2025Oct 27, 2025Sep 23, 2025
Knowledge cutoffJan 2025—Apr 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.

  • Gemini 2.5 Computer Use Preview$32.50
  • MiniMax-M2$5.40
  • Qwen3-VL Plus$5.20
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Computer Use Preview, MiniMax-M2 or Qwen3-VL Plus?

Qwen3-VL Plus is the better all-round choice, scoring 56/100 against MiniMax-M2 (48) and Gemini 2.5 Computer Use Preview (35). It leads on context window. 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, Gemini 2.5 Computer Use Preview, MiniMax-M2 or Qwen3-VL Plus?

MiniMax-M2 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). Qwen3-VL Plus costs $0.20 input / $1.60 output per million tokens (official Alibaba API price); Gemini 2.5 Computer Use Preview costs $1.25 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M2 versus $0.55 for Qwen3-VL Plus (1× as much) and $3.44 for Gemini 2.5 Computer Use Preview (6.5× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Gemini 2.5 Computer Use Preview has not been scored yet, MiniMax-M2 has not been scored yet and Qwen3-VL Plus has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.5 Computer Use Preview, MiniMax-M2 and Qwen3-VL Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Qwen3-VL Plus has the largest context window at 262,144 tokens, against 204,800 for MiniMax-M2 and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: Gemini 2.5 Computer Use Preview up to 64,000, MiniMax-M2 up to 131,072, Qwen3-VL Plus up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Computer Use Preview accepts text and images; MiniMax-M2 accepts text; Qwen3-VL Plus accepts text and images. Gemini 2.5 Computer Use Preview handles the widest range of inputs.

Are any of these open source?

MiniMax-M2 publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview and Qwen3-VL Plus is proprietary.

Which is newer?

MiniMax-M2 is the newest, released Oct 27, 2025. Gemini 2.5 Computer Use Preview came out Oct 7, 2025; Qwen3-VL Plus came out Sep 23, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, Qwen3-VL Plus Apr 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 Oct 4, 2026.

05 — Keep comparing

Related comparisons