ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Medium 3.5 vs GLM-4.5V

GLM-4.5V comes out ahead, 49 to 42 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mistral Medium 3.5

    Released Apr 29, 2026

    42/100
    • ECI141.4
    • Price$1.50 / $7.50
    • Context262K
    Full specs Remove Mistral Medium 3.5
  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 Mistral Medium 3.5 (42). It leads on price. Mistral Medium 3.5 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 · Mistral Medium 3.5 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMistral Medium 3.5Mistral Medium 3.5 262,144 · GLM-4.5V 64,000 tokens
  • Widest inputsGLM-4.5VMistral Medium 3.5: Text, Images · GLM-4.5V: Text, Images, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Medium 3.5GLM-4.5V
Price50%2752
Inputs & features30%7070
Context window20%3712
Overall100%42/10049/100

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.

Mistral Medium 3.5 vs GLM-4.5V specifications side by side
SpecificationMistral Medium 3.5Mistral AIGLM-4.5VZ.ai (Zhipu)
Capability
Capabilities Index (ECI)141.4—
ECI rank#95 of 148—
Price per million tokens
Input$1.50$0.60 (best)
Output$7.50$1.80 (best)
Cached input$0.15—
Blended (3:1)$3.00$0.90 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Z.AI API
Limits
Context window262,144 tokens (best)64,000 tokens
Max output262,144 tokens (best)16,384 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoYes
ReasoningYeshighYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpen
API model IDmistral-medium-2604glm-4.5v
API providers12 (best)11
ReleasedApr 29, 2026Aug 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.

  • Mistral Medium 3.5$30.00
  • GLM-4.5V$9.60
04 — Questions

Which should you choose?

Which is better: Mistral Medium 3.5 or GLM-4.5V?

GLM-4.5V is the better all-round choice, scoring 49/100 against Mistral Medium 3.5 (42). It leads on price. Mistral Medium 3.5 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, Mistral Medium 3.5 or GLM-4.5V?

GLM-4.5V is cheaper at $0.60 input / $1.80 output per million tokens (official Z.AI API price). Mistral Medium 3.5 costs $1.50 input / $7.50 output per million tokens (official Mistral API price). 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 Mistral Medium 3.5 (3.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Mistral Medium 3.5 has an ECI of 141.4 and GLM-4.5V has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Medium 3.5 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?

Mistral Medium 3.5 has the largest context window at 262,144 tokens, against 64,000 for GLM-4.5V. Maximum output per response: Mistral Medium 3.5 up to 262,144, GLM-4.5V up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mistral Medium 3.5 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?

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

Which is newer?

Mistral Medium 3.5 is the newest, released Apr 29, 2026. GLM-4.5V came out Aug 11, 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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