---
title: "Compare alternatives to GLM 4.7 Flash · Undominated.ai"
canonical: https://undominated.ai/alternatives/z-ai__glm-4.7-flash/
description: "9 alternatives score at least as high as GLM 4.7 Flash and cost no more under at least one listed workload. 4 preserve recorded capabilities; 5 have named trade-offs."
---

# Compare alternatives to GLM 4.7 Flash · Undominated.ai

> 9 alternatives score at least as high as GLM 4.7 Flash and cost no more under at least one listed workload. 4 preserve recorded capabilities; 5 have named trade-offs.

# Alternatives to GLM 4.7 Flash

Z.ai · LMArena 1350.9 · $0.145/M on a balanced workload · prices as of 2026-10-06

 [Compare models](https://undominated.ai/compare/) Comparison context

Choose up to three standard models in Compare.

Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls.

## 4 models are higher-scoring or cheaper, with neither dimension worse.

Of the 144 models carrying both an independent score and a published price at the same delivery mode, **9** score at least as high as GLM 4.7 Flash and cost no more under at least one listed workload, with at least one of those dimensions improved. **4** match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. **5** have a recorded capability loss, named on every row.

Dominance is not a property of a model. It is a property of a model, a capability lens and a workload, and all three are named on every row. Scores are LMArena Elo, used under CC BY 4.0 from the official dataset; prices are blended per million tokens. A higher score is not a drop-in replacement.

This page is built only while a candidate improves score or price without worsening the other under a listed workload. When that comparison no longer holds, it is not generated.

## Where it holds

| Workload | GLM 4.7 Flash $/M | Recorded capabilities preserved | Recorded capability losses |
| --- | --- | --- | --- |
| Balanced | $0.145 | 2 | 4 |
| Summarise | $0.063 | 0 | 1 |
| Chat | $0.181 | 4 | 5 |
| Code gen | $0.260 | 4 | 5 |
| Agentic | $0.081 | 4 | 1 |

Workload mixes are defined on the [methodology page](/methodology/). Cached input is priced at the cached rate, and reasoning tokens at the worse of the reasoning and output rates.

## What you would be replacing

| Intelligence | 1350.9 |
| --- | --- |
| Context window | 200K |
| Max output | 117K |
| Input modes | text |
| Tool use | yes |
| Extended reasoning | yes |

Preserving recorded capabilities requires matching or beating these fields. [Full record for GLM 4.7 Flash](/models/z-ai__glm-4.7-flash/), or [check GLM 4.7 Flash against the whole catalogue](/check/z-ai__glm-4.7-flash/).

## Recorded capabilities preserved 4

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats GLM 4.7 Flash on recorded context, maximum output, input modes, tool use and extended reasoning.

| # | Model | Intelligence | $/M | Holds under |
| --- | --- | --- | --- | --- |
| 1 | [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) Google | 1433.9 +83 | $0.127 | Balanced −13% Chat −17% Code gen −21% Agentic −2% |
| 2 | [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) DeepSeek | 1432.1 +81.2 | $0.113 | Balanced −22% Chat −42% Code gen −47% Agentic −25% |
| 3 | [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) Xiaomi | 1456.4 +105.5 | $0.155 chat | Chat −14% Code gen −18% Agentic −2% |
| 4 | [MiMo-V2.5](/models/xiaomi__mimo-v2.5/) Xiaomi | 1427.5 +76.6 | $0.155 chat | Chat −14% Code gen −18% Agentic −2% |

## Alternatives with recorded capability losses 5

These improve score or price without worsening the other under the listed workloads, but reduce at least one recorded capability. Read the last column before switching.

| Model | Intelligence | $/M | Holds under | Recorded capability loss |
| --- | --- | --- | --- | --- |
| [Qwen3.5-Flash](/models/qwen__qwen3.5-flash-02-23/) Qwen | 1397 +46.1 | $0.114 | Balanced −22% Chat −21% Code gen −30% | 118K → 66K max output |
| [Qwen3 30B A3B Instruct 2507](/models/qwen__qwen3-30b-a3b-instruct-2507/) Qwen | 1384.1 +33.2 | $0.143 | Balanced −2% Chat −4% Code gen −17% | no extended reasoning |
| [gpt-oss-120b](/models/openai__gpt-oss-120b/) OpenAI | 1365.4 +14.5 | $0.065 | Balanced −55% Summarise −41% Chat −52% Code gen −56% Agentic −37% | 200K → 131K context |
| [Gemma 3 27B](/models/google__gemma-3-27b-it/) Google | 1357.8 tie | $0.100 | Balanced −31% Chat −38% Code gen −51% | 200K → 131K context no extended reasoning |
| [Step 3.5 Flash](/models/stepfun__step-3.5-flash/) StepFun | 1403 +52.1 | $0.180 chat | Chat −1% Code gen −15% | 118K → 66K max output |

## What this compares, and what it leaves out

 - Quality is LMArena Elo, used under CC BY 4.0 from the official dataset. The 95% confidence interval on a difference between two scores is about ±10.47 points, so a gap smaller than that is marked *tie* rather than an improvement — see [significance bands](/significance/).
 - 204 further models at this delivery mode carry a price but no independent score. They are absent from the comparison in both directions — unrated is not a zero, and an unmeasured model is neither an alternative nor a worse buy.
 - Retired models are never offered as an alternative, and a model only competes against its own delivery mode: batch trades latency for price, so it is not a like-for-like swap.
 - Nothing here measures latency, throughput, rate limits or how a model behaves on your prompts. Two models with the same index score are not interchangeable.
 - Models with no higher-scoring or cheaper alternative that is no worse on the other axis are on the [value frontier](/frontier/). Models with such an alternative are [listed here](/alternatives/).

## Continue your investigation

 - [Check requirements](/check/)
- [Compare exact differences](/compare/)
- [Set a quality floor](/cheapest-at/)
- [Inspect tier boundaries](/cliffs/)