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Comparison · 3 models · Updated Oct 4, 2026

GPT-5.1 Chat vs Kimi K2.7 Code Highspeed vs Gemini 2.5 Computer Use Preview

Kimi K2.7 Code Highspeed comes out ahead, 44 to 38 and 35 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-5.1 Chat

    Released Nov 13, 2025

    38/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
  2. Our pick

    Moonshot AI

    Kimi K2.7 Code Highspeed

    Released Jun 12, 2026

    44/100
    • ECI—
    • Price$1.90 / $8.00
    • Context262K
  3. Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    35/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
01 — Verdict

Kimi K2.7 Code Highspeed is our pick

Kimi K2.7 Code Highspeed is the better all-round choice, scoring 44/100 against GPT-5.1 Chat (38) and Gemini 2.5 Computer Use Preview (35). It leads on 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 priceKimi K2.7 Code HighspeedKimi K2.7 Code Highspeed $3.42 · GPT-5.1 Chat $3.44 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
  • Longest contextKimi K2.7 Code HighspeedKimi K2.7 Code Highspeed 262,144 · GPT-5.1 Chat 128,000 · Gemini 2.5 Computer Use Preview 128,000 tokens
  • Widest inputsKimi K2.7 Code HighspeedGPT-5.1 Chat: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video · Gemini 2.5 Computer Use Preview: Text, Images
  • Self-hostingKimi K2.7 Code HighspeedPublishes downloadable weights
How the score is built
MeasureWeightGPT-5.1 ChatKimi K2.7 Code HighspeedGemini 2.5 Computer Use Preview
Price50%242524
Inputs & features30%708060
Context window20%243724
Overall100%38/10044/10035/100

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.

GPT-5.1 Chat vs Kimi K2.7 Code Highspeed vs Gemini 2.5 Computer Use Preview specifications side by side
SpecificationGPT-5.1 ChatOpenAIKimi K2.7 Code HighspeedMoonshot AIGemini 2.5 Computer Use PreviewGoogle
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.25 (best)$1.90$1.25 (best)
Output$10.00$8.00 (best)$10.00
Cached input———
Blended (3:1)$3.44$3.42 (best)$3.44
Long-context rateSame rateSame rateOver 200K: $2.50 / $15.00
Price sourceMedian of 2 providersMedian of 11 providersOfficial Google API
Limits
Context window128,000 tokens262,144 tokens (best)128,000 tokens
Max output16,384 tokens262,144 tokens (best)64,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoYesNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryOpenProprietary
API model ID——gemini-2.5-computer-use-preview-10-2025
API providers211 (best)2
ReleasedNov 13, 2025Jun 12, 2026Oct 7, 2025
Knowledge cutoffSep 30, 2024Jan 2025Jan 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.

  • GPT-5.1 Chat$32.50
  • Kimi K2.7 Code Highspeed$35.00
  • Gemini 2.5 Computer Use Preview$32.50
04 — Questions

Which should you choose?

Which is better: GPT-5.1 Chat, Kimi K2.7 Code Highspeed or Gemini 2.5 Computer Use Preview?

Kimi K2.7 Code Highspeed is the better all-round choice, scoring 44/100 against GPT-5.1 Chat (38) and Gemini 2.5 Computer Use Preview (35). It leads on 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, GPT-5.1 Chat, Kimi K2.7 Code Highspeed or Gemini 2.5 Computer Use Preview?

Kimi K2.7 Code Highspeed is cheaper at $1.90 input / $8.00 output per million tokens (median across 11 API providers). GPT-5.1 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 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 $3.42 per million tokens for Kimi K2.7 Code Highspeed versus $3.44 for GPT-5.1 Chat (1× as much) and $3.44 for Gemini 2.5 Computer Use Preview (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. GPT-5.1 Chat has not been scored yet, Kimi K2.7 Code Highspeed has not been scored yet and Gemini 2.5 Computer Use Preview has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.1 Chat, Kimi K2.7 Code Highspeed and Gemini 2.5 Computer Use Preview 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?

Kimi K2.7 Code Highspeed has the largest context window at 262,144 tokens, against 128,000 for GPT-5.1 Chat and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: GPT-5.1 Chat up to 16,384, Kimi K2.7 Code Highspeed up to 262,144, Gemini 2.5 Computer Use Preview up to 64,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.1 Chat accepts text and images; Kimi K2.7 Code Highspeed accepts text, images and video; Gemini 2.5 Computer Use Preview accepts text and images. Kimi K2.7 Code Highspeed handles the widest range of inputs.

Are any of these open source?

Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; GPT-5.1 Chat and Gemini 2.5 Computer Use Preview is proprietary.

Which is newer?

Kimi K2.7 Code Highspeed is the newest, released Jun 12, 2026. GPT-5.1 Chat came out Nov 13, 2025; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: GPT-5.1 Chat Sep 30, 2024, Kimi K2.7 Code Highspeed Jan 2025, Gemini 2.5 Computer Use Preview Jan 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.