ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GLM-5V-Turbo vs Grok Build 0.1 vs MiniMax-M2.7-highspeed

Grok Build 0.1 comes out ahead, 54 to 49 and 41 on our weighted score, though MiniMax-M2.7-highspeed is 16% cheaper per token.

  1. Z.ai (Zhipu)

    GLM-5V-Turbo

    Released Apr 1, 2026

    49/100
    • ECI—
    • Price$1.20 / $4.00
    • Context200K
  2. Our pick

    xAI

    Grok Build 0.1

    Released Apr 16, 2026

    54/100
    • ECI—
    • Price$1.00 / $2.00
    • Context256K
  3. MiniMax

    MiniMax-M2.7-highspeed

    Released Mar 18, 2026

    41/100
    • ECI—
    • Price$0.60 / $2.40
    • Context205K
01 — Verdict

Grok Build 0.1 is our pick

Grok Build 0.1 is the better all-round choice, scoring 54/100 against GLM-5V-Turbo (49) and MiniMax-M2.7-highspeed (41). It leads on context window. MiniMax-M2.7-highspeed wins 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 priceMiniMax-M2.7-highspeedMiniMax-M2.7-highspeed $1.05 · Grok Build 0.1 $1.25 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
  • Longest contextGrok Build 0.1Grok Build 0.1 256,000 · MiniMax-M2.7-highspeed 204,800 · GLM-5V-Turbo 200,000 tokens
  • Widest inputsGLM-5V-TurboGLM-5V-Turbo: Text, Images, PDFs, Video · Grok Build 0.1: Text, Images, PDFs · MiniMax-M2.7-highspeed: Text
  • Self-hostingMiniMax-M2.7-highspeedPublishes downloadable weights
How the score is built
MeasureWeightGLM-5V-TurboGrok Build 0.1MiniMax-M2.7-highspeed
Price50%374549
Inputs & features30%808035
Context window20%323632
Overall100%49/10054/10041/100

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-5V-Turbo vs Grok Build 0.1 vs MiniMax-M2.7-highspeed specifications side by side
SpecificationGLM-5V-TurboZ.ai (Zhipu)Grok Build 0.1xAIMiniMax-M2.7-highspeedMiniMax
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.20$1.00$0.60 (best)
Output$4.00$2.00 (best)$2.40
Cached input$0.24$0.20$0.06 (best)
Blended (3:1)$1.90$1.25$1.05 (best)
Long-context rateSame rateOver 200K: $2.00 / $4.00Same rate
Price sourceOfficial Z.AI APIOfficial xAI APIOfficial MiniMax (minimax.io) API
Limits
Context window200,000 tokens256,000 tokens (best)204,800 tokens
Max output131,072 tokens256,000 tokens (best)131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesYesNo
AudioNoNoNo
VideoYesNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsProprietaryProprietaryOpen
API model IDglm-5v-turbogrok-build-0.1MiniMax-M2.7-highspeed
API providers1419 (best)14
ReleasedApr 1, 2026Apr 16, 2026Mar 18, 2026
Knowledge cutoff———
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-5V-Turbo$20.00
  • Grok Build 0.1$14.00
  • MiniMax-M2.7-highspeed$10.80
04 — Questions

Which should you choose?

Which is better: GLM-5V-Turbo, Grok Build 0.1 or MiniMax-M2.7-highspeed?

Grok Build 0.1 is the better all-round choice, scoring 54/100 against GLM-5V-Turbo (49) and MiniMax-M2.7-highspeed (41). It leads on context window. MiniMax-M2.7-highspeed wins 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, GLM-5V-Turbo, Grok Build 0.1 or MiniMax-M2.7-highspeed?

MiniMax-M2.7-highspeed is cheaper at $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). Grok Build 0.1 costs $1.00 input / $2.00 output per million tokens (official xAI API price); GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for MiniMax-M2.7-highspeed versus $1.25 for Grok Build 0.1 (1.2× as much) and $1.90 for GLM-5V-Turbo (1.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. GLM-5V-Turbo has not been scored yet, Grok Build 0.1 has not been scored yet and MiniMax-M2.7-highspeed has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-5V-Turbo, Grok Build 0.1 and MiniMax-M2.7-highspeed 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?

Grok Build 0.1 has the largest context window at 256,000 tokens, against 204,800 for MiniMax-M2.7-highspeed and 200,000 for GLM-5V-Turbo. Maximum output per response: GLM-5V-Turbo up to 131,072, Grok Build 0.1 up to 256,000, MiniMax-M2.7-highspeed up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GLM-5V-Turbo accepts text, images, PDFs and video; Grok Build 0.1 accepts text, images and PDFs; MiniMax-M2.7-highspeed accepts text. GLM-5V-Turbo handles the widest range of inputs.

Are any of these open source?

MiniMax-M2.7-highspeed publishes its weights and can be self-hosted; GLM-5V-Turbo and Grok Build 0.1 is proprietary.

Which is newer?

Grok Build 0.1 is the newest, released Apr 16, 2026. GLM-5V-Turbo came out Apr 1, 2026; MiniMax-M2.7-highspeed came out Mar 18, 2026.

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.