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Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Computer Use Preview vs Kimi K2 Thinking vs Qwen3.5 Plus

Qwen3.5 Plus comes out ahead, 59 to 42 and 35 on our weighted score, and it is the cheaper option too.

  1. Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    35/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
  2. Moonshot AI

    Kimi K2 Thinking

    Released Nov 6, 2025

    42/100
    • ECI146.0
    • Price$0.60 / $2.50
    • Context262K
  3. Our pick

    Alibaba (Qwen)

    Qwen3.5 Plus

    Released Feb 16, 2026

    59/100
    • ECI146.8
    • Price$0.40 / $2.40
    • Context1M
01 — Verdict

Qwen3.5 Plus is our pick

Qwen3.5 Plus is the better all-round choice, scoring 59/100 against Kimi K2 Thinking (42) and Gemini 2.5 Computer Use Preview (35). It leads on price, inputs & features and 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 priceQwen3.5 PlusQwen3.5 Plus $0.90 · Kimi K2 Thinking $1.07 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 PlusQwen3.5 Plus 1,000,000 · Kimi K2 Thinking 262,144 · Gemini 2.5 Computer Use Preview 128,000 tokens
  • Widest inputsQwen3.5 PlusGemini 2.5 Computer Use Preview: Text, Images · Kimi K2 Thinking: Text · Qwen3.5 Plus: Text, Images, Video
  • Self-hostingKimi K2 ThinkingPublishes downloadable weights
How the score is built
MeasureWeightGemini 2.5 Computer Use PreviewKimi K2 ThinkingQwen3.5 Plus
Price50%244852
Inputs & features30%603570
Context window20%243760
Overall100%35/10042/10059/100

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 Kimi K2 Thinking vs Qwen3.5 Plus specifications side by side
SpecificationGemini 2.5 Computer Use PreviewGoogleKimi K2 ThinkingMoonshot AIQwen3.5 PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)—146.0146.8 (best)
ECI rank—#72 of 148#65 of 148 (best)
GPQA DiamondGraduate-level science questions—84.2%84.9% (best)
OTIS Mock AIME 2024–2025Competition mathematics—83.1%86.7% (best)
SimpleQA VerifiedShort factual questions——25.4%
Price per million tokens
Input$1.25$0.60$0.40 (best)
Output$10.00$2.50$2.40 (best)
Cached input———
Blended (3:1)$3.44$1.07$0.90 (best)
Long-context rateOver 200K: $2.50 / $15.00Same rateSame rate
Price sourceOfficial Google APIMedian of 10 providersOfficial Alibaba API
Limits
Context window128,000 tokens262,144 tokens1,000,000 tokens (best)
Max output64,000 tokens262,144 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsProprietaryOpenProprietary
API model IDgemini-2.5-computer-use-preview-10-2025—qwen3.5-plus
API providers210 (best)10 (best)
ReleasedOct 7, 2025Nov 6, 2025Feb 16, 2026
Knowledge cutoffJan 2025Aug 2024Apr 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
  • Kimi K2 Thinking$11.00
  • Qwen3.5 Plus$8.80
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Computer Use Preview, Kimi K2 Thinking or Qwen3.5 Plus?

Qwen3.5 Plus is the better all-round choice, scoring 59/100 against Kimi K2 Thinking (42) and Gemini 2.5 Computer Use Preview (35). It leads on price, inputs & features and 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, Kimi K2 Thinking or Qwen3.5 Plus?

Qwen3.5 Plus is cheaper at $0.40 input / $2.40 output per million tokens (official Alibaba API price). Kimi K2 Thinking costs $0.60 input / $2.50 output per million tokens (median across 10 API providers); 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 $0.90 per million tokens for Qwen3.5 Plus versus $1.07 for Kimi K2 Thinking (1.2× as much) and $3.44 for Gemini 2.5 Computer Use Preview (3.8× 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, Kimi K2 Thinking has an ECI of 146.0 and Qwen3.5 Plus has an ECI of 146.8.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.5 Computer Use Preview, Kimi K2 Thinking and Qwen3.5 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?

Qwen3.5 Plus has the largest context window at 1,000,000 tokens, against 262,144 for Kimi K2 Thinking and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: Gemini 2.5 Computer Use Preview up to 64,000, Kimi K2 Thinking up to 262,144, Qwen3.5 Plus up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Computer Use Preview accepts text and images; Kimi K2 Thinking accepts text; Qwen3.5 Plus accepts text, images and video. Qwen3.5 Plus handles the widest range of inputs.

Are any of these open source?

Kimi K2 Thinking publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview and Qwen3.5 Plus is proprietary.

Which is newer?

Qwen3.5 Plus is the newest, released Feb 16, 2026. Kimi K2 Thinking came out Nov 6, 2025; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, Kimi K2 Thinking Aug 2024, Qwen3.5 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.