ZMIME
Comparison · 2 models · Updated Oct 4, 2026

MiniMax-M2.5-highspeed vs GLM-4.7

Too close to call on our weighted score (GLM-4.7 42, MiniMax-M2.5-highspeed 41). The right pick depends on what you value most.

  1. MiniMax

    MiniMax-M2.5-highspeed

    Released Feb 13, 2026

    41/100
    • ECI—
    • Price$0.60 / $2.40
    • Context205K
    Full specs Remove MiniMax-M2.5-highspeed

  2. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    42/100
    • ECI143.5
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (GLM-4.7 42/100, MiniMax-M2.5-highspeed 41/100), so choose by what matters most for your work: GLM-4.7 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 priceGLM-4.7GLM-4.7 $1.00 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMiniMax-M2.5-highspeed 204,800 · GLM-4.7 204,800 tokens
  • Widest inputsSame inputsMiniMax-M2.5-highspeed: Text · GLM-4.7: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMiniMax-M2.5-highspeedGLM-4.7
Price50%4950
Inputs & features30%3535
Context window20%3232
Overall100%41/10042/100

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-highspeed vs GLM-4.7 specifications side by side
SpecificationMiniMax-M2.5-highspeedMiniMaxGLM-4.7Z.ai (Zhipu)
Capability
Capabilities Index (ECI)—143.5
ECI rank—#84 of 148
GPQA DiamondGraduate-level science questions—83.3%
OTIS Mock AIME 2024–2025Competition mathematics—83.3%
SimpleQA VerifiedShort factual questions—32.2%
Price per million tokens
Input$0.60$0.60
Output$2.40$2.20 (best)
Cached input$0.06 (best)$0.11
Blended (3:1)$1.05$1.00 (best)
Long-context rateSame rateSame rate
Price sourceOfficial MiniMax (minimax.io) APIOfficial Z.AI API
Limits
Context window204,800 tokens204,800 tokens
Max output131,072 tokens131,072 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDMiniMax-M2.5-highspeedglm-4.7
API providers720 (best)
ReleasedFeb 13, 2026Dec 22, 2025
Knowledge cutoff—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.

  • MiniMax-M2.5-highspeed$10.80
  • GLM-4.7$10.40
04 — Questions

Which should you choose?

Which is better: MiniMax-M2.5-highspeed or GLM-4.7?

It is close. Our weighted score puts them within a point (GLM-4.7 42/100, MiniMax-M2.5-highspeed 41/100), so choose by what matters most for your work: GLM-4.7 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, MiniMax-M2.5-highspeed or GLM-4.7?

GLM-4.7 is cheaper at $0.60 input / $2.20 output per million tokens (official Z.AI API price). MiniMax-M2.5-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $1.00 per million tokens for GLM-4.7 versus $1.05 for MiniMax-M2.5-highspeed (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. MiniMax-M2.5-highspeed has not been scored yet and GLM-4.7 has an ECI of 143.5.

Which is better for coding?

There are no published SWE-bench Verified results for MiniMax-M2.5-highspeed and GLM-4.7 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?

MiniMax-M2.5-highspeed and GLM-4.7 share the same 204,800-token context window. Maximum output per response: MiniMax-M2.5-highspeed up to 131,072, GLM-4.7 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

MiniMax-M2.5-highspeed accepts text; GLM-4.7 accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

MiniMax-M2.5-highspeed is the newest, released Feb 13, 2026. GLM-4.7 came out Dec 22, 2025. Knowledge cutoff: GLM-4.7 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

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