ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-4.5V vs Mistral Medium 3.5

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

  1. 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

  2. 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

  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-4.5VGLM-4.5V: Text, Images, Video · Mistral Medium 3.5: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.5VMistral Medium 3.5
Price50%5227
Inputs & features30%7070
Context window20%1237
Overall100%49/10042/100

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-4.5V vs Mistral Medium 3.5 specifications side by side
SpecificationGLM-4.5VZ.ai (Zhipu)Mistral Medium 3.5Mistral AI
Capability
Capabilities Index (ECI)—141.4
ECI rank—#95 of 148
Price per million tokens
Input$0.60 (best)$1.50
Output$1.80 (best)$7.50
Cached input—$0.15
Blended (3:1)$0.90 (best)$3.00
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial Mistral API
Limits
Context window64,000 tokens262,144 tokens (best)
Max output16,384 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoYesNo
ReasoningYesYeshigh
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpen
API model IDglm-4.5vmistral-medium-2604
API providers1112 (best)
ReleasedAug 11, 2025Apr 29, 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-4.5V$9.60
  • Mistral Medium 3.5$30.00
04 — Questions

Which should you choose?

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

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, GLM-4.5V or Mistral Medium 3.5?

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. GLM-4.5V has not been scored yet and Mistral Medium 3.5 has an ECI of 141.4.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.5V and Mistral Medium 3.5 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: GLM-4.5V up to 16,384, Mistral Medium 3.5 up to 262,144 tokens.

Which can read images, PDFs, audio or video?

GLM-4.5V accepts text, images and video; Mistral Medium 3.5 accepts text and images. 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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