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Comparison · 3 models · Updated Nov 2, 2026

GLM-4.6V-Flash vs Voxtral Small 24B 2507 vs Grok 4 Fast Non Reasoning

Grok 4 Fast Non Reasoning comes out ahead, 72 to 63 and 55 on our weighted score, though Voxtral Small 24B 2507 is 36% cheaper per token.

  1. Z.ai (Zhipu)

    GLM-4.6V-Flash

    Released Dec 8, 2025

    63/100
    • ECI—
    • Price$0.161 / $0.559
    • Context128K
  2. Mistral AI

    Voxtral Small 24B 2507

    Released Jul 15, 2025

    55/100
    • ECI—
    • Price$0.10 / $0.40
    • Context33K
  3. Our pick

    xAI

    Grok 4 Fast Non Reasoning

    Released Dec 18, 2025

    72/100
    • ECI—
    • Price$0.20 / $0.50
    • Context2M
01 — Verdict

Grok 4 Fast Non Reasoning is our pick

Grok 4 Fast Non Reasoning is the better all-round choice, scoring 72/100 against GLM-4.6V-Flash (63) and Voxtral Small 24B 2507 (55). It leads on context window. Voxtral Small 24B 2507 wins on price. 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 $0.175 · GLM-4.6V-Flash $0.261 · Grok 4 Fast Non Reasoning $0.275 per 1M tokens (3:1 blend)
  • Longest contextGrok 4 Fast Non ReasoningGrok 4 Fast Non Reasoning 2,000,000 · GLM-4.6V-Flash 128,000 · Voxtral Small 24B 2507 32,768 tokens
  • Widest inputsGrok 4 Fast Non ReasoningGLM-4.6V-Flash: Text, Images, Video · Voxtral Small 24B 2507: Text, Audio · Grok 4 Fast Non Reasoning: Text, Images, Audio, Video
  • Self-hostingGLM-4.6V-Flash and Voxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGLM-4.6V-FlashVoxtral Small 24B 2507Grok 4 Fast Non Reasoning
Price50%748273
Inputs & features30%704570
Context window20%24072
Overall100%63/10055/10072/100

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-4.6V-Flash vs Voxtral Small 24B 2507 vs Grok 4 Fast Non Reasoning specifications side by side
SpecificationGLM-4.6V-FlashZ.ai (Zhipu)Voxtral Small 24B 2507Mistral AIGrok 4 Fast Non ReasoningxAI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.161$0.10 (best)$0.20
Output$0.559$0.40 (best)$0.50
Cached input———
Blended (3:1)$0.261$0.175 (best)$0.275
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Mistral APIMedian of 7 providers
Limits
Context window128,000 tokens32,768 tokens2,000,000 tokens (best)
Max output32,768 tokens32,768 tokens2,000,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoYesYes
VideoYesNoYes
ReasoningYesNoNo
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsOpenOpenApache 2.0Proprietary
API model IDglm-4.6v-flashvoxtral-small-latest—
API providers610 (best)8
ReleasedDec 8, 2025Jul 15, 2025Dec 18, 2025
Knowledge cutoff———
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-4.6V-Flash$2.73
  • Voxtral Small 24B 2507$1.80
  • Grok 4 Fast Non Reasoning$3.00
04 — Questions

Which should you choose?

Which is better: GLM-4.6V-Flash, Voxtral Small 24B 2507 or Grok 4 Fast Non Reasoning?

Grok 4 Fast Non Reasoning is the better all-round choice, scoring 72/100 against GLM-4.6V-Flash (63) and Voxtral Small 24B 2507 (55). It leads on context window. Voxtral Small 24B 2507 wins on price. 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-4.6V-Flash, Voxtral Small 24B 2507 or Grok 4 Fast Non Reasoning?

Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.40 output per million tokens (official Mistral API price). GLM-4.6V-Flash costs $0.161 input / $0.559 output per million tokens (median across 2 API providers; free on Z.AI); Grok 4 Fast Non Reasoning costs $0.20 input / $0.50 output per million tokens (median across 7 API providers). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Voxtral Small 24B 2507 versus $0.261 for GLM-4.6V-Flash (1.5× as much) and $0.275 for Grok 4 Fast Non Reasoning (1.6× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. GLM-4.6V-Flash has not been scored yet, Voxtral Small 24B 2507 has not been scored yet and Grok 4 Fast Non Reasoning has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.6V-Flash, Voxtral Small 24B 2507 and Grok 4 Fast Non Reasoning yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Grok 4 Fast Non Reasoning has the largest context window at 2,000,000 tokens, against 128,000 for GLM-4.6V-Flash and 32,768 for Voxtral Small 24B 2507. Maximum output per response: GLM-4.6V-Flash up to 32,768, Voxtral Small 24B 2507 up to 32,768, Grok 4 Fast Non Reasoning up to 2,000,000 tokens.

Which can read images, PDFs, audio or video?

GLM-4.6V-Flash accepts text, images and video; Voxtral Small 24B 2507 accepts text and audio; Grok 4 Fast Non Reasoning accepts text, images, audio and video. Grok 4 Fast Non Reasoning handles the widest range of inputs.

Are any of these open source?

GLM-4.6V-Flash and Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; Grok 4 Fast Non Reasoning is proprietary.

Which is newer?

Grok 4 Fast Non Reasoning is the newest, released Dec 18, 2025. GLM-4.6V-Flash came out Dec 8, 2025; Voxtral Small 24B 2507 came out Jul 15, 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.