ZMIME
Comparison · 3 models · Updated Oct 4, 2026

MiniMax-M2.5 vs Gemini 2.5 Computer Use Preview vs GPT-5.4 nano

GPT-5.4 nano comes out ahead, 63 to 48 and 35 on our weighted score, and it is the cheaper option too.

  1. MiniMax

    MiniMax-M2.5

    Released Feb 12, 2026

    48/100
    • ECI146.7
    • Price$0.30 / $1.20
    • Context205K
  2. Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    35/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
  3. Our pick

    OpenAI

    GPT-5.4 nano

    Released Mar 17, 2026

    63/100
    • ECI145.8
    • Price$0.20 / $1.25
    • Context400K
01 — Verdict

GPT-5.4 nano is our pick

GPT-5.4 nano is the better all-round choice, scoring 63/100 against MiniMax-M2.5 (48) 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 priceGPT-5.4 nanoGPT-5.4 nano $0.463 · MiniMax-M2.5 $0.525 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 nanoGPT-5.4 nano 400,000 · MiniMax-M2.5 204,800 · Gemini 2.5 Computer Use Preview 128,000 tokens
  • Widest inputsGemini 2.5 Computer Use Preview and GPT-5.4 nanoMiniMax-M2.5: Text · Gemini 2.5 Computer Use Preview: Text, Images · GPT-5.4 nano: Text, Images
  • Self-hostingMiniMax-M2.5Publishes downloadable weights
How the score is built
MeasureWeightMiniMax-M2.5Gemini 2.5 Computer Use PreviewGPT-5.4 nano
Price50%632466
Inputs & features30%356070
Context window20%322444
Overall100%48/10035/10063/100

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.

MiniMax-M2.5 vs Gemini 2.5 Computer Use Preview vs GPT-5.4 nano specifications side by side
SpecificationMiniMax-M2.5MiniMaxGemini 2.5 Computer Use PreviewGoogleGPT-5.4 nanoOpenAI
Capability
Capabilities Index (ECI)146.7 (best)—145.8
ECI rank#66 of 148 (best)—#75 of 148
GPQA DiamondGraduate-level science questions——78.5%
FrontierMath Tiers 1–3Research-level mathematics——44.9%
OTIS Mock AIME 2024–2025Competition mathematics——87.8%
SimpleQA VerifiedShort factual questions——11.7%
Price per million tokens
Input$0.30$1.25$0.20 (best)
Output$1.20 (best)$10.00$1.25
Cached input$0.03—$0.02 (best)
Blended (3:1)$0.525$3.44$0.463 (best)
Long-context rateSame rateOver 200K: $2.50 / $15.00Same rate
Price sourceOfficial MiniMax (minimax.io) APIOfficial Google APIOfficial OpenAI API
Limits
Context window204,800 tokens128,000 tokens400,000 tokens (best)
Max output131,072 tokens (best)64,000 tokens128,000 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenProprietaryProprietary
API model IDMiniMax-M2.5gemini-2.5-computer-use-preview-10-2025gpt-5.4-nano
API providers21226 (best)
ReleasedFeb 12, 2026Oct 7, 2025Mar 17, 2026
Knowledge cutoff—Jan 2025Aug 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.

  • MiniMax-M2.5$5.40
  • Gemini 2.5 Computer Use Preview$32.50
  • GPT-5.4 nano$4.50
04 — Questions

Which should you choose?

Which is better: MiniMax-M2.5, Gemini 2.5 Computer Use Preview or GPT-5.4 nano?

GPT-5.4 nano is the better all-round choice, scoring 63/100 against MiniMax-M2.5 (48) 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, MiniMax-M2.5, Gemini 2.5 Computer Use Preview or GPT-5.4 nano?

GPT-5.4 nano is cheaper at $0.20 input / $1.25 output per million tokens (official OpenAI API price). MiniMax-M2.5 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) 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 $0.463 per million tokens for GPT-5.4 nano versus $0.525 for MiniMax-M2.5 (1.1× as much) and $3.44 for Gemini 2.5 Computer Use Preview (7.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. MiniMax-M2.5 has an ECI of 146.7, Gemini 2.5 Computer Use Preview has not been scored yet and GPT-5.4 nano has an ECI of 145.8.

Which is better for coding?

There are no published SWE-bench Verified results for MiniMax-M2.5, Gemini 2.5 Computer Use Preview and GPT-5.4 nano 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?

GPT-5.4 nano has the largest context window at 400,000 tokens, against 204,800 for MiniMax-M2.5 and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: MiniMax-M2.5 up to 131,072, Gemini 2.5 Computer Use Preview up to 64,000, GPT-5.4 nano up to 128,000 tokens.

Which can read images, PDFs, audio or video?

MiniMax-M2.5 accepts text; Gemini 2.5 Computer Use Preview accepts text and images; GPT-5.4 nano accepts text and images. Gemini 2.5 Computer Use Preview handles the widest range of inputs.

Are any of these open source?

MiniMax-M2.5 publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview and GPT-5.4 nano is proprietary.

Which is newer?

GPT-5.4 nano is the newest, released Mar 17, 2026. MiniMax-M2.5 came out Feb 12, 2026; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, GPT-5.4 nano Aug 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 Oct 4, 2026.