ZMIME
Comparison · 3 models · Updated Oct 4, 2026

MiniMax-M2.5-highspeed vs GLM-4.7 vs DeepSeek OCR 2

Too close to call on our weighted score (GLM-4.7 42, MiniMax-M2.5-highspeed 41, DeepSeek OCR 2 32). 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. DeepSeek

    DeepSeek OCR 2

    Released Jan 27, 2026

    32/100
    • ECI—
    • Price$0.89 / $1.47
    • Context8K
    Full specs Remove DeepSeek OCR 2
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, DeepSeek OCR 2 32/100), 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 · DeepSeek OCR 2 $1.03 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M2.5-highspeed and GLM-4.7MiniMax-M2.5-highspeed 204,800 · GLM-4.7 204,800 · DeepSeek OCR 2 8,192 tokens
  • Widest inputsDeepSeek OCR 2MiniMax-M2.5-highspeed: Text · GLM-4.7: Text · DeepSeek OCR 2: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMiniMax-M2.5-highspeedGLM-4.7DeepSeek OCR 2
Price50%495049
Inputs & features30%353525
Context window20%32320
Overall100%41/10042/10032/100

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 vs DeepSeek OCR 2 specifications side by side
SpecificationMiniMax-M2.5-highspeedMiniMaxGLM-4.7Z.ai (Zhipu)DeepSeek OCR 2DeepSeek
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 (best)$0.60 (best)$0.89
Output$2.40$2.20$1.47 (best)
Cached input$0.06 (best)$0.11—
Blended (3:1)$1.05$1.00 (best)$1.03
Long-context rateSame rateSame rateSame rate
Price sourceOfficial MiniMax (minimax.io) APIOfficial Z.AI APIMedian of 1 providers
Limits
Context window204,800 tokens (best)204,800 tokens (best)8,192 tokens
Max output131,072 tokens (best)131,072 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesNo
Tool callingYesYesNo
Structured outputNoNoNo
Availability
WeightsOpenOpenOpen
API model IDMiniMax-M2.5-highspeedglm-4.7—
API providers720 (best)2
ReleasedFeb 13, 2026Dec 22, 2025Jan 27, 2026
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
  • DeepSeek OCR 2$11.83
04 — Questions

Which should you choose?

Which is better: MiniMax-M2.5-highspeed, GLM-4.7 or DeepSeek OCR 2?

It is close. Our weighted score puts them within a point (GLM-4.7 42/100, MiniMax-M2.5-highspeed 41/100, DeepSeek OCR 2 32/100), 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, GLM-4.7 or DeepSeek OCR 2?

GLM-4.7 is cheaper at $0.60 input / $2.20 output per million tokens (official Z.AI API price). DeepSeek OCR 2 costs $0.89 input / $1.47 output per million tokens (median across 1 API provider); 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 $1.03 for DeepSeek OCR 2 (1× as much) and $1.05 for MiniMax-M2.5-highspeed (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. MiniMax-M2.5-highspeed has not been scored yet, GLM-4.7 has an ECI of 143.5 and DeepSeek OCR 2 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for MiniMax-M2.5-highspeed, GLM-4.7 and DeepSeek OCR 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek OCR 2 does not support tool calling, which most coding agents need.

Which has the bigger context window?

MiniMax-M2.5-highspeed and GLM-4.7 have the largest context windows (204,800 and 204,800 tokens), against 8,192 for DeepSeek OCR 2. Maximum output per response: MiniMax-M2.5-highspeed up to 131,072, GLM-4.7 up to 131,072, DeepSeek OCR 2 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

MiniMax-M2.5-highspeed accepts text; GLM-4.7 accepts text; DeepSeek OCR 2 accepts text and images. DeepSeek OCR 2 handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

MiniMax-M2.5-highspeed is the newest, released Feb 13, 2026. DeepSeek OCR 2 came out Jan 27, 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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