ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Pixtral Large (25.02) vs GLM-4.7

GLM-4.7 comes out ahead, 41 to 33 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Pixtral Large (25.02)

    Released Apr 8, 2025

    33/100
    • ECI—
    • Price$2.00 / $6.00
    • Context128K
    Full specs Remove Pixtral Large (25.02)
  2. Our pick

    Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    41/100
    • ECI143.7
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-4.7 is our pick

GLM-4.7 is the better all-round choice, scoring 41/100 against Pixtral Large (25.02) (33). It leads on price and context window. Pixtral Large (25.02) wins on inputs & features. 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 · Pixtral Large (25.02) $3.00 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7GLM-4.7 204,800 · Pixtral Large (25.02) 128,000 tokens
  • Widest inputsPixtral Large (25.02)Pixtral Large (25.02): Text, Images · GLM-4.7: Text
  • Self-hostingGLM-4.7Publishes downloadable weights
How the score is built
MeasureWeightPixtral Large (25.02)GLM-4.7
Price50%2648
Inputs & features30%5035
Context window20%2432
Overall100%33/10041/100

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.

Pixtral Large (25.02) vs GLM-4.7 specifications side by side
SpecificationPixtral Large (25.02)Mistral AIGLM-4.7Z.ai (Zhipu)
Capability
Capabilities Index (ECI)—143.7
ECI rank—#94 of 165
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$2.00$0.60 (best)
Output$6.00$2.20 (best)
Cached input—$0.11
Blended (3:1)$3.00$1.00 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 3 providersOfficial Z.AI API
Limits
Context window128,000 tokens204,800 tokens (best)
Max output8,192 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryOpen
API model ID—glm-4.7
API providers331 (best)
ReleasedApr 8, 2025Dec 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.

  • Pixtral Large (25.02)$32.00
  • GLM-4.7$10.40
04 — Questions

Which should you choose?

Which is better: Pixtral Large (25.02) or GLM-4.7?

GLM-4.7 is the better all-round choice, scoring 41/100 against Pixtral Large (25.02) (33). It leads on price and context window. Pixtral Large (25.02) wins on inputs & features. 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, Pixtral Large (25.02) or GLM-4.7?

GLM-4.7 is cheaper at $0.60 input / $2.20 output per million tokens (official Z.AI API price). Pixtral Large (25.02) costs $2.00 input / $6.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $1.00 per million tokens for GLM-4.7 versus $3.00 for Pixtral Large (25.02) (3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Pixtral Large (25.02) has not been scored yet and GLM-4.7 has an ECI of 143.7.

Which is better for coding?

There are no published SWE-bench Verified results for Pixtral Large (25.02) 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?

GLM-4.7 has the largest context window at 204,800 tokens, against 128,000 for Pixtral Large (25.02). Maximum output per response: Pixtral Large (25.02) up to 8,192, GLM-4.7 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Pixtral Large (25.02) accepts text and images; GLM-4.7 accepts text. Pixtral Large (25.02) handles the widest range of inputs.

Are any of these open source?

GLM-4.7 publishes its weights and can be self-hosted; Pixtral Large (25.02) is proprietary.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. Pixtral Large (25.02) came out Apr 8, 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 Nov 2, 2026.

05 — Keep comparing

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