---
title: "Is GLM 4.7 Flash still undominated? · Undominated.ai"
canonical: https://undominated.ai/check/z-ai__glm-4.7-flash/
description: "GLM 4.7 Flash: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Oct 6, 2026. Unrated stays unrated."
---

# Is GLM 4.7 Flash still undominated? · Undominated.ai

> GLM 4.7 Flash: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Oct 6, 2026. Unrated stays unrated.

# Is GLM 4.7 Flash a good deal?

Whether anything in this catalogue beats GLM 4.7 Flash on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion.

12 undominated of 145 · Oct 6, 2026

 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options)

As of Oct 6, 2026, GLM 4.7 Flash is dominated for Balanced on LMArena. Gemma 4 26B A4B scores 83.0 higher and costs 13% less, with a covering envelope. 12 of 145 rated, priced standard models are undominated.

[Inspect model evidence](/models/z-ai__glm-4.7-flash/) [Compare differences & requirements](/compare/?models=z-ai%2Fglm-4.7-flash%2Cgoogle%2Fgemma-4-26b-a4b-it)

 Current model

GLM 4.7 Flash

 Balanced

3 tokens in per 1 out

 Balanced Summarise Chat Code gen Agentic
 Monthly spend (USD) Used only to say how many months a named switching cost would take to earn back. Leave blank to skip. Switching cost (USD)

Gemma 4 26B A4B is both better and cheaper than GLM 4.7 Flash: 83.0 points higher on LMArena and 13% less per million tokens, $0.018 cheaper at this mix.

 [GLM 4.7 Flash](https://undominated.ai/models/z-ai__glm-4.7-flash/)

LMArena Elo · higher is better

Scale starts at 1040 Elo

 **

1350.9

Effective $/M · Balanced · lower is better

 **

$0.145/M

 [Gemma 4 26B A4B](https://undominated.ai/models/google__gemma-4-26b-a4b-it/)

LMArena Elo · higher is better

Scale starts at 1040 Elo

 **

1433.9

Effective $/M · Balanced · lower is better

 **

$0.127/M

GLM 4.7 Flash takes text, returns up to 117,964 tokens from a 200,000-token context, and is listed by 3 sellers.

Compared against 145 rated, priced models on this lens: 2 models dominate it and give up nothing, 4 more dominate it but give something up. GLM 4.7 Flash scores 1350.9 at $0.145 per million tokens for this mix.

## Envelope-safe replacements

Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here.

| Model | LMArena | Effective $/M | You save |
| --- | --- | --- | --- |
| [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) | 1433.9 +83.0 | $0.127/M | 13% |
| [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) | 1432.1 +81.2 | $0.113/M | 22% |

## Higher score, lower price, named losses

Not a drop-in. The loss is why these are not a recommendation.

| Model | LMArena | Effective $/M | You give up |
| --- | --- | --- | --- |
| [Qwen3.5-Flash](/models/qwen__qwen3.5-flash-02-23/) | 1397.0 | $0.114/M | max output |
| [Qwen3 30B A3B Instruct 2507](/models/qwen__qwen3-30b-a3b-instruct-2507/) | 1384.1 | $0.143/M | reasoning |
| [gpt-oss-120b](/models/openai__gpt-oss-120b/) | 1365.4 | $0.065/M | context |
| [Gemma 3 27B](/models/google__gemma-3-27b-it/) | 1357.8 | $0.100/M | context, reasoning |

 145 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase.

Copy watch URL [Open the frontier](/frontier/)

The link keeps the model and mix, using the current catalogue. Monthly spend and switching cost stay in this browser tab and are left out of the link.

## Saved decision references

Save the model, workload, catalogue date and capability-preservation rule in this browser. Spend, switching cost and bill contents are not saved. No account or notifications.

Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs.

Historical decisions cannot be fully replayed from saved references: past prices, scores and capability evidence are not stored.

 Save this reference

## Continue your investigation

 - [Build a shortlist](/compare/)
- [Inspect alternatives](/alternatives/)
- [Check billing conditions](/traps/)
- [Read model evidence](/models/)
