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Comparison · 2 models · Updated Oct 4, 2026

Trinity Large Preview vs GLM-4.7-FlashX

Too close to call on our weighted score (Trinity Large Preview 34, GLM-4.7-FlashX 34). The right pick depends on what you value most.

  1. Arcee AI

    Trinity Large Preview

    Released Jan 27, 2026

    34/100
    • ECI—
    • Price—
    • Context524K
    Full specs Remove Trinity Large Preview

  2. Z.ai (Zhipu)

    GLM-4.7-FlashX

    Released Jan 19, 2026

    34/100
    • ECI—
    • Price$0.07 / $0.40
    • Context200K
    Full specs Remove GLM-4.7-FlashX

  3. Add a model

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Trinity Large Preview 34/100, GLM-4.7-FlashX 34/100), so choose by what matters most for your work: GLM-4.7-FlashX on price and Trinity Large Preview for long inputs. The score weighs inputs & features 60%, context window 40%. 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-FlashXGLM-4.7-FlashX $0.152 per 1M tokens (3:1 blend) · Trinity Large Preview unpriced
  • Longest contextTrinity Large PreviewTrinity Large Preview 524,288 · GLM-4.7-FlashX 200,000 tokens
  • Widest inputsSame inputsTrinity Large Preview: Text · GLM-4.7-FlashX: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightTrinity Large PreviewGLM-4.7-FlashX
Inputs & features60%2535
Context window40%4932
Overall100%34/10034/100

Left out because at least one model lacks the data: capability and price. 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.

Trinity Large Preview vs GLM-4.7-FlashX specifications side by side
SpecificationTrinity Large PreviewArcee AIGLM-4.7-FlashXZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input—$0.07
Output—$0.40
Cached input—$0.01
Blended (3:1)—$0.152
Long-context rate—Same rate
Price source—Official Z.AI API
Limits
Context window524,288 tokens (best)200,000 tokens
Max output262,144 tokens (best)131,072 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpenMDW-1.1Open
API model ID—glm-4.7-flashx
API providers18 (best)
ReleasedJan 27, 2026Jan 19, 2026
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.

  • Trinity Large Preview—
  • GLM-4.7-FlashX$1.50
04 — Questions

Which should you choose?

Which is better: Trinity Large Preview or GLM-4.7-FlashX?

It is close. Our weighted score puts them within a point (Trinity Large Preview 34/100, GLM-4.7-FlashX 34/100), so choose by what matters most for your work: GLM-4.7-FlashX on price and Trinity Large Preview for long inputs. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Trinity Large Preview or GLM-4.7-FlashX?

GLM-4.7-FlashX is cheaper at $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 $0.152 per million tokens for GLM-4.7-FlashX versus . Trinity Large Preview has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Trinity Large Preview has not been scored yet and GLM-4.7-FlashX has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Trinity Large Preview and GLM-4.7-FlashX 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?

Trinity Large Preview has the largest context window at 524,288 tokens, against 200,000 for GLM-4.7-FlashX. Maximum output per response: Trinity Large Preview up to 262,144, GLM-4.7-FlashX up to 131,072 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

Yes, both publish their weights (OpenMDW-1.1), so you can self-host them.

Which is newer?

Trinity Large Preview is the newest, released Jan 27, 2026. GLM-4.7-FlashX came out Jan 19, 2026. 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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