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Z.aiLanguage model

GLM-4.7-FlashX

GLM-4.7-FlashX has no overall index value yet because there are too few independent benchmark results.

PopularityRank 581 of 785

28out of 100same as last month

based on two data groups, mostly search

Summary

GLM-4.7-FlashX is a separate API entry in the GLM-4.7 series with text as both input and output and a 200K context. Z.ai publishes no separate FlashX weight card. An identity with GLM-4.7-Flash is therefore unverified.

FlashX therefore remains an API entry without a documented local checkpoint or its own parameter size. The open Flash variant cannot be treated as its weight identity.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 12 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

LawBench (Mem) (Show measurement, test conditions, and source)
Source value
41.77
Score
41.77
Metric
Mem (Memorization)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LawBench. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LawBench (Und) (Show measurement, test conditions, and source)
Source value
41.9
Score
41.9
Metric
Und (Understanding)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LawBench. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LawBench (App) (Show measurement, test conditions, and source)
Source value
56.28
Score
56.28
Metric
App (Application)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LawBench. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LawBench (Avg) (Show measurement, test conditions, and source)
Source value
47.64
Score
47.64
Metric
Avg (Average score)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LawBench. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LexEval (Mem) (Show measurement, test conditions, and source)
Source value
42.49
Score
42.49
Metric
Mem (Memorization)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LexEval. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LexEval (Und) (Show measurement, test conditions, and source)
Source value
81.89
Score
81.89
Metric
Und (Understanding)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LexEval. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LexEval (Log) (Show measurement, test conditions, and source)
Source value
54.41
Score
54.41
Metric
Log (Logical inference)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LexEval. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LexEval (Dis) (Show measurement, test conditions, and source)
Source value
27.3
Score
27.3
Metric
Dis (Discrimination)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LexEval. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LexEval (Gen) (Show measurement, test conditions, and source)
Source value
23.09
Score
23.09
Metric
Gen (Generation)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LexEval. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LexEval (Eth) (Show measurement, test conditions, and source)
Source value
43.13
Score
43.13
Metric
Eth (Ethics)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LexEval. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
LexEval (Avg) (Show measurement, test conditions, and source)
Source value
49.55
Score
49.55
Metric
Avg (Average score)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on LexEval. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1
PoliLegal (Show measurement, test conditions, and source)
Source value
72.5
Score
72.5
Metric
Accuracy (unified metric for the PoliLegal benchmark, per section 5.1.2)
Unit
No unit provided
Direction
No direction published
Source type
independent-evaluator
Evaluator
PoliLegalLM report, arXiv:2604.17543v1
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Table 3 row `GLM-4.7-FlashX`; Params `30B/A3B`; Local `Yes`. Section 5.1.3 also lists `GLM-4.7-FlashX` among comparison baselines. The report compares the model on PoliLegal. The source does not state a numeric unit, evaluated N, confidence interval, or sampling/decoding settings for this result.
Source PoliLegalLM report, arXiv:2604.17543v1

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 101 models

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 7, 2026

GLM-4.7-FlashXTrinity Large Thinking 28MiMo-V2.5-Pro-UltraSpeed 28Nex-N2.5-Max 28OLMo 2 13B 28

Method changes in the timeline, a jump at these points is no market event:

  1. 1November 1, 2026: Value only with search or usage data, 30-day attention

What is gaining popularity right now, across models, vendors, harnesses and AI subscriptions, is collected in All AI trends.

All specifications

Architecture

Parameters
30 billion
Source: Parameters
Active parameters
3 billion
Source: Active parameters
Knowledge cutoff
April 2025
Source: Knowledge cutoff

Input and output

Context window
200,000 tokens
Source: Context window
Maximum output
131,072 tokens
Source: Maximum output
Inputs
Text
Source: Inputs
Outputs
Text
Source: Outputs
Reasoning
Yes
Source: Reasoning
Tool calling
Yes
Source: Tool calling

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Weights
Open weights
Source: Weights
License
MIT
Source: License

Prices

Not included in any subscription in Germany.

All plans in the AI subscription comparison

Frequently asked questions about GLM-4.7-FlashX

What is the knowledge cutoff of GLM-4.7-FlashX?

April 2025, according to Z.ai. That is 9 months before release.

Stated by Z.ai

How large is the context window of GLM-4.7-FlashX?

200,000 tokens. That is how much text GLM-4.7-FlashX reads at once, about 300 A4 pages.

Page count as a rule of thumb from Artificial Analysis

Context windowTokens the model reads at once · higher is better
GLM-4.7-FlashXRank 84 of 103200K
GLM-5.1200K
o3200K
Claude Opus 4.5200K
GLM-5200K
Claude Sonnet 4.5200K
o4-mini200K

Can I run GLM-4.7-FlashX locally?

Yes, the weights are open.

Stated by Z.ai

Open weights
yes
License
MIT
Parameters
30B
active per token
3B

Sources and data date

Show all 14 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.

TypeEvidence and data date
Input

Documented modalities. Retrieved October 27, 2026.

Output

Documented modalities. Retrieved October 27, 2026.

Research statusResearch date October 15, 2026. 6 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Unresolved

exact-flashx-checkpoint-scores

Note

The official card provides GLM-4.7-Flash scores, but neither this card nor the reviewed source establishes that the catalog's FlashX API variant is the same checkpoint. No sibling score is transferred.

Not found in the inspected sources

exact-flashx-quality-benchmarks

Note

No exact GLM-4.7-FlashX numeric quality result with a sourceable benchmark protocol was found. Public material for the related GLM-4.7-Flash model is not transferred, and third-party comparisons without identifiable benchmark provenance are not treated as scores.

Unresolved

quality-benchmarks

Note

No numeric evaluation with a reproducible configuration was found for the exact GLM-4.7-FlashX route. GLM-4.7-Flash is a different variant and its values are not transferred.

Unresolved

evaluation configuration and uncertainty

Original wording

The captured paper table supplies the exact model identity, Params 30B/A3B, Local Yes, scores and task labels, but does not report result units, per-result evaluated N, confidence intervals, or sampling/decoding settings. Dataset sizes mentioned elsewhere in the paper are not used as evaluated N.

Additional sourceHugging Face (retrieved October 15, 2026) · GLM-4.7-Flash model card · Editorial description reviewed October 2, 2026
Additional sourcePoliLegalLM report, arXiv:2604.17543v1 (retrieved October 18, 2026)
Additional sourceModel metadata (retrieved October 16, 2026)123
Additional sourceModel metadata (retrieved October 16, 2026) · Z.AI GLM-4.7 documentation · Editorial description reviewed October 2, 2026
Additional sourceGLM-4.7-Flash model card text · Editorial description reviewed October 2, 2026
Additional sourceOpenRouter: Popularity index (derived), CC BY 4.0
Additional sourceVercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional sourceOllama: cumulative downloads for the popularity index
Additional sourceReplicate: cumulative runs for the popularity index
Additional sourceGoogle Trending Now: limited feed selection for Germany and the US
Additional sourceCreative Commons Attribution 4.0