ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-4.7-FlashX vs GLM-4.7-Flash

Too close to call on our weighted score (GLM-4.7-Flash 62, GLM-4.7-FlashX 61). The right pick depends on what you value most.

  1. 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. Z.ai (Zhipu)

    GLM-4.7-Flash

    Released Jan 19, 2026

    62/100
    • ECI—
    • Price$0.06 / $0.40
    • Context200K
    Full specs Remove GLM-4.7-Flash

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (GLM-4.7-Flash 62/100, GLM-4.7-FlashX 61/100), so choose by what matters most for your work: GLM-4.7-Flash 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 priceGLM-4.7-FlashGLM-4.7-Flash $0.145 · GLM-4.7-FlashX $0.152 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGLM-4.7-FlashX 200,000 · GLM-4.7-Flash 200,000 tokens
  • Widest inputsSame inputsGLM-4.7-FlashX: Text · GLM-4.7-Flash: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.7-FlashXGLM-4.7-Flash
Price50%8990
Inputs & features30%3535
Context window20%3232
Overall100%61/10062/100

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 GLM-4.7-Flash specifications side by side
SpecificationGLM-4.7-FlashXZ.ai (Zhipu)GLM-4.7-FlashZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
GPQA DiamondGraduate-level science questions—45.1%
OTIS Mock AIME 2024–2025Competition mathematics—25.0%
Price per million tokens
Input$0.07$0.06 (best)
Output$0.40$0.40
Cached input$0.01—
Blended (3:1)$0.152$0.145 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIMedian of 13 providers
Limits
Context window200,000 tokens200,000 tokens
Max output131,072 tokens131,072 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDglm-4.7-flashxglm-4.7-flash
API providers819 (best)
ReleasedJan 19, 2026Jan 19, 2026
Knowledge cutoffApr 2025Apr 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
  • GLM-4.7-Flash$1.41
04 — Questions

Which should you choose?

Which is better: GLM-4.7-FlashX or GLM-4.7-Flash?

It is close. Our weighted score puts them within a point (GLM-4.7-Flash 62/100, GLM-4.7-FlashX 61/100), so choose by what matters most for your work: GLM-4.7-Flash 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-4.7-FlashX or GLM-4.7-Flash?

GLM-4.7-Flash is cheaper at $0.06 input / $0.40 output per million tokens (median across 13 API providers; free on Z.AI). 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 $0.145 per million tokens for GLM-4.7-Flash 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 GLM-4.7-Flash has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7-FlashX and GLM-4.7-Flash 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 and GLM-4.7-Flash share the same 200,000-token context window. Maximum output per response: GLM-4.7-FlashX up to 131,072, GLM-4.7-Flash up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7-FlashX accepts text; GLM-4.7-Flash accepts text. They handle the same number of input types.

Are any of these open source?

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

Which is newer?

GLM-4.7-FlashX is the newest, released Jan 19, 2026. GLM-4.7-Flash came out Jan 19, 2026. Knowledge cutoff: GLM-4.7-FlashX Apr 2025, GLM-4.7-Flash 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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