ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-4.7-FlashX vs Voxtral Small 24B 2507

GLM-4.7-FlashX comes out ahead, 61 to 55 on our weighted score.

  1. Our pick

    Z.ai (Zhipu)

    GLM-4.7-FlashX

    Released Jan 19, 2026

    61/100
    • ECI—
    • Price$0.07 / $0.40
    • Context200K
    Full specs Remove GLM-4.7-FlashX

  2. Mistral AI

    Voxtral Small 24B 2507

    Released Jul 15, 2025

    55/100
    • ECI—
    • Price$0.10 / $0.30
    • Context33K
    Full specs Remove Voxtral Small 24B 2507

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-4.7-FlashX is our pick

GLM-4.7-FlashX is the better all-round choice, scoring 61/100 against Voxtral Small 24B 2507 (55). It leads 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 priceVoxtral Small 24B 2507Voxtral Small 24B 2507 $0.15 · GLM-4.7-FlashX $0.152 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7-FlashXGLM-4.7-FlashX 200,000 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsVoxtral Small 24B 2507GLM-4.7-FlashX: Text · Voxtral Small 24B 2507: Text, Audio
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.7-FlashXVoxtral Small 24B 2507
Price50%8989
Inputs & features30%3535
Context window20%320
Overall100%61/10055/100

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-4.7-FlashX vs Voxtral Small 24B 2507 specifications side by side
SpecificationGLM-4.7-FlashXZ.ai (Zhipu)Voxtral Small 24B 2507Mistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.07 (best)$0.10
Output$0.40$0.30 (best)
Cached input$0.01—
Blended (3:1)$0.152$0.15 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial Mistral API
Limits
Context window200,000 tokens (best)32,768 tokens
Max output131,072 tokens (best)32,768 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoYes
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpenApache 2.0
API model IDglm-4.7-flashxvoxtral-small-latest
API providers8 (best)7
ReleasedJan 19, 2026Jul 15, 2025
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-4.7-FlashX$1.50
  • Voxtral Small 24B 2507$1.60
04 — Questions

Which should you choose?

Which is better: GLM-4.7-FlashX or Voxtral Small 24B 2507?

GLM-4.7-FlashX is the better all-round choice, scoring 61/100 against Voxtral Small 24B 2507 (55). It leads 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-4.7-FlashX or Voxtral Small 24B 2507?

Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). GLM-4.7-FlashX costs $0.07 input / $0.40 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Voxtral Small 24B 2507 versus $0.152 for GLM-4.7-FlashX (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. GLM-4.7-FlashX has not been scored yet and Voxtral Small 24B 2507 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7-FlashX and Voxtral Small 24B 2507 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-FlashX has the largest context window at 200,000 tokens, against 32,768 for Voxtral Small 24B 2507. Maximum output per response: GLM-4.7-FlashX up to 131,072, Voxtral Small 24B 2507 up to 32,768 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7-FlashX accepts text; Voxtral Small 24B 2507 accepts text and audio. Voxtral Small 24B 2507 handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (Apache 2.0), so you can self-host them.

Which is newer?

GLM-4.7-FlashX is the newest, released Jan 19, 2026. Voxtral Small 24B 2507 came out Jul 15, 2025. Knowledge cutoff: GLM-4.7-FlashX 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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