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Comparison · 2 models · Updated Oct 4, 2026

Pixtral Large (25.02) vs GLM-4.5V

GLM-4.5V comes out ahead, 49 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-4.5V

    Released Aug 11, 2025

    49/100
    • ECI—
    • Price$0.60 / $1.80
    • Context64K
    Full specs Remove GLM-4.5V

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-4.5V is our pick

GLM-4.5V is the better all-round choice, scoring 49/100 against Pixtral Large (25.02) (33). It leads on price and inputs & features. Pixtral Large (25.02) wins on 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 priceGLM-4.5VGLM-4.5V $0.90 · Pixtral Large (25.02) $3.00 per 1M tokens (3:1 blend)
  • Longest contextPixtral Large (25.02)Pixtral Large (25.02) 128,000 · GLM-4.5V 64,000 tokens
  • Widest inputsGLM-4.5VPixtral Large (25.02): Text, Images · GLM-4.5V: Text, Images, Video
  • Self-hostingGLM-4.5VPublishes downloadable weights
How the score is built
MeasureWeightPixtral Large (25.02)GLM-4.5V
Price50%2752
Inputs & features30%5070
Context window20%2412
Overall100%33/10049/100

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-4.5V specifications side by side
SpecificationPixtral Large (25.02)Mistral AIGLM-4.5VZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$2.00$0.60 (best)
Output$6.00$1.80 (best)
Cached input——
Blended (3:1)$3.00$0.90 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 3 providersOfficial Z.AI API
Limits
Context window128,000 tokens (best)64,000 tokens
Max output8,192 tokens16,384 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoYes
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryOpen
API model ID—glm-4.5v
API providers311 (best)
ReleasedApr 8, 2025Aug 11, 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-4.5V$9.60
04 — Questions

Which should you choose?

Which is better: Pixtral Large (25.02) or GLM-4.5V?

GLM-4.5V is the better all-round choice, scoring 49/100 against Pixtral Large (25.02) (33). It leads on price and inputs & features. Pixtral Large (25.02) wins on 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, Pixtral Large (25.02) or GLM-4.5V?

GLM-4.5V is cheaper at $0.60 input / $1.80 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 $0.90 per million tokens for GLM-4.5V versus $3.00 for Pixtral Large (25.02) (3.3× 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-4.5V has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Pixtral Large (25.02) and GLM-4.5V 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?

Pixtral Large (25.02) has the largest context window at 128,000 tokens, against 64,000 for GLM-4.5V. Maximum output per response: Pixtral Large (25.02) up to 8,192, GLM-4.5V up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Pixtral Large (25.02) accepts text and images; GLM-4.5V accepts text, images and video. GLM-4.5V handles the widest range of inputs.

Are any of these open source?

GLM-4.5V publishes its weights and can be self-hosted; Pixtral Large (25.02) is proprietary.

Which is newer?

GLM-4.5V is the newest, released Aug 11, 2025. Pixtral Large (25.02) came out Apr 8, 2025. Knowledge cutoff: GLM-4.5V 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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