What is the difference between GLM 4 32B and Qwen3 235B A22B Thinking 2507?

GLM 4 32B is developed by Zhipu AI while Qwen3 235B A22B Thinking 2507 is developed by Qwen. GLM 4 32B has a 128K token context window vs Qwen3 235B A22B Thinking 2507's 131K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GLM 4 32B or Qwen3 235B A22B Thinking 2507?

It depends on your use case. GLM 4 32B and Qwen3 235B A22B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does GLM 4 32B cost compared to Qwen3 235B A22B Thinking 2507?

GLM 4 32B costs $0.1/M input tokens and Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens. GLM 4 32B is $0.01/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare GLM 4 32B and Qwen3 235B A22B Thinking 2507 on Rival?

This page shows a side-by-side comparison of GLM 4 32B and Qwen3 235B A22B Thinking 2507 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

What is the difference between GLM 4 32B and Qwen3 235B A22B Thinking 2507?

GLM 4 32B is developed by Zhipu AI while Qwen3 235B A22B Thinking 2507 is developed by Qwen. GLM 4 32B has a 128K token context window vs Qwen3 235B A22B Thinking 2507's 131K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GLM 4 32B or Qwen3 235B A22B Thinking 2507?

It depends on your use case. GLM 4 32B and Qwen3 235B A22B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does GLM 4 32B cost compared to Qwen3 235B A22B Thinking 2507?

GLM 4 32B costs $0.1/M input tokens and Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens. GLM 4 32B is $0.01/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare GLM 4 32B and Qwen3 235B A22B Thinking 2507 on Rival?

This page shows a side-by-side comparison of GLM 4 32B and Qwen3 235B A22B Thinking 2507 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

GLM 4 32B vs Qwen3 235B A22B Thinking 2507: Which Is Better?

Updated Jul 2025

Our Verdict

GLM 4 32B

Qwen3 235B A22B Thinking 2507

No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.

GLM 4 32B is 6.0x cheaper per token — worth considering if cost matters.

Too close to call

What do GLM 4 32B and Qwen3 235B A22B Thinking 2507 say about your brand?

10 models, one question, verbatim receipts.

or peek at a demo: Notion Linear Vercel

API pricing

Cost per 1M tokens

GLM 4 32B

Input

$0.10

1.1× cheaper

Output

$0.10

6.0× cheaper

Qwen3 235B A22B Thinking 2507

Input

$0.11

Output

$0.60

GLM 4 32B is cheaper on both — 1.1× input, 6.0× output

Writing DNA

Style Comparison

Similarity

52%

Qwen3 235B A22B Thinking 2507 uses 53.9x more emoji

GLM 4 32B

Qwen3 235B A22B Thinking 2507

53%Vocabulary56%

15wSentence Length14w

0.83Hedging0.37

5.8Bold5.7

4.6Lists4.0

0.00Emoji0.54

0.35Headings0.70

0.04Transitions0.14

Based on 17 + 22 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

GLM 4 32B vs MiniMax M3New provider

GLM 4 32B vs Ox AlphaNew provider

GLM 4 32B vs GPT OSS 20BNew provider

Updated Jul 2025

Our Verdict

GLM 4 32B

Qwen3 235B A22B Thinking 2507

No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.

GLM 4 32B is 6.0x cheaper per token — worth considering if cost matters.

Too close to call

What do GLM 4 32B and Qwen3 235B A22B Thinking 2507 say about your brand?

10 models, one question, verbatim receipts.

or peek at a demo: Notion Linear Vercel

API pricing

Cost per 1M tokens

GLM 4 32B

Input

$0.10

1.1× cheaper

Output

$0.10

6.0× cheaper

Qwen3 235B A22B Thinking 2507

Input

$0.11

Output

$0.60

GLM 4 32B is cheaper on both — 1.1× input, 6.0× output

Writing DNA

Style Comparison

Similarity

52%

Qwen3 235B A22B Thinking 2507 uses 53.9x more emoji

GLM 4 32B

Qwen3 235B A22B Thinking 2507

53%Vocabulary56%

15wSentence Length14w

0.83Hedging0.37

5.8Bold5.7

4.6Lists4.0

0.00Emoji0.54

0.35Headings0.70

0.04Transitions0.14

Based on 17 + 22 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

GLM 4 32B vs MiniMax M3New provider

GLM 4 32B vs Ox AlphaNew provider

GLM 4 32B vs GPT OSS 20BNew provider