ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GLM-4.7 vs MiniMax-M2.5-highspeed vs Seed 2.0 Code

Seed 2.0 Code comes out ahead, 57 to 42 and 41 on our weighted score, and it is the cheaper option too.

  1. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    42/100
    • ECI143.5
    • Price$0.60 / $2.20
    • Context205K
  2. MiniMax

    MiniMax-M2.5-highspeed

    Released Feb 13, 2026

    41/100
    • ECI—
    • Price$0.60 / $2.40
    • Context205K
  3. Our pick

    ByteDance Seed

    Seed 2.0 Code

    Released Feb 14, 2026

    57/100
    • ECI—
    • Price$0.475 / $2.37
    • Context262K
01 — Verdict

Seed 2.0 Code is our pick

Seed 2.0 Code is the better all-round choice, scoring 57/100 against GLM-4.7 (42) and MiniMax-M2.5-highspeed (41). 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 priceSeed 2.0 CodeSeed 2.0 Code $0.95 · GLM-4.7 $1.00 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
  • Longest contextSeed 2.0 CodeSeed 2.0 Code 262,144 · GLM-4.7 204,800 · MiniMax-M2.5-highspeed 204,800 tokens
  • Widest inputsSeed 2.0 CodeGLM-4.7: Text · MiniMax-M2.5-highspeed: Text · Seed 2.0 Code: Text, Images, Video
  • Self-hostingGLM-4.7 and MiniMax-M2.5-highspeedPublishes downloadable weights
How the score is built
MeasureWeightGLM-4.7MiniMax-M2.5-highspeedSeed 2.0 Code
Price50%504951
Inputs & features30%353580
Context window20%323237
Overall100%42/10041/10057/100

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.

GLM-4.7 vs MiniMax-M2.5-highspeed vs Seed 2.0 Code specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)MiniMax-M2.5-highspeedMiniMaxSeed 2.0 CodeByteDance Seed
Capability
Capabilities Index (ECI)143.5——
ECI rank#84 of 148——
GPQA DiamondGraduate-level science questions83.3%——
OTIS Mock AIME 2024–2025Competition mathematics83.3%——
SimpleQA VerifiedShort factual questions32.2%——
Price per million tokens
Input$0.60$0.60$0.475 (best)
Output$2.20 (best)$2.40$2.37
Cached input$0.11$0.06 (best)$0.095
Blended (3:1)$1.00$1.05$0.95 (best)
Long-context rateSame rateSame rateOver 32K: $0.712 / $3.56
Price sourceOfficial Z.AI APIOfficial MiniMax (minimax.io) APIOfficial Volcengine Ark API
Limits
Context window204,800 tokens204,800 tokens262,144 tokens (best)
Max output131,072 tokens131,072 tokens131,072 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoYes
ReasoningYesYesYesminimal · low · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenOpenProprietary
API model IDglm-4.7MiniMax-M2.5-highspeeddoubao-seed-2-0-code-preview-260215
API providers20 (best)710
ReleasedDec 22, 2025Feb 13, 2026Feb 14, 2026
Knowledge cutoffApr 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.

  • GLM-4.7$10.40
  • MiniMax-M2.5-highspeed$10.80
  • Seed 2.0 Code$9.50
04 — Questions

Which should you choose?

Which is better: GLM-4.7, MiniMax-M2.5-highspeed or Seed 2.0 Code?

Seed 2.0 Code is the better all-round choice, scoring 57/100 against GLM-4.7 (42) and MiniMax-M2.5-highspeed (41). 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, GLM-4.7, MiniMax-M2.5-highspeed or Seed 2.0 Code?

Seed 2.0 Code is cheaper at $0.475 input / $2.37 output per million tokens (official Volcengine Ark API price). GLM-4.7 costs $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 $0.95 per million tokens for Seed 2.0 Code versus $1.00 for GLM-4.7 (1.1× 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. GLM-4.7 has an ECI of 143.5, MiniMax-M2.5-highspeed has not been scored yet and Seed 2.0 Code has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7, MiniMax-M2.5-highspeed and Seed 2.0 Code 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?

Seed 2.0 Code has the largest context window at 262,144 tokens, against 204,800 for GLM-4.7 and 204,800 for MiniMax-M2.5-highspeed. Maximum output per response: GLM-4.7 up to 131,072, MiniMax-M2.5-highspeed up to 131,072, Seed 2.0 Code up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7 accepts text; MiniMax-M2.5-highspeed accepts text; Seed 2.0 Code accepts text, images and video. Seed 2.0 Code handles the widest range of inputs.

Are any of these open source?

GLM-4.7 and MiniMax-M2.5-highspeed publishes its weights and can be self-hosted; Seed 2.0 Code is proprietary.

Which is newer?

Seed 2.0 Code is the newest, released Feb 14, 2026. MiniMax-M2.5-highspeed came out 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.