What is the difference between GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507?

GPT-5.1-Codex-Mini is developed by OpenAI while Qwen3 235B A22B Thinking 2507 is developed by Qwen. GPT-5.1-Codex-Mini has a 400K token context window vs Qwen3 235B A22B Thinking 2507's 131K. You can compare their actual outputs across 55 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.1-Codex-Mini or Qwen3 235B A22B Thinking 2507?

It depends on your use case. GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 55 challenges so you can judge which fits your needs best.

How much does GPT-5.1-Codex-Mini cost compared to Qwen3 235B A22B Thinking 2507?

GPT-5.1-Codex-Mini costs $1.5/M input tokens and Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens. Qwen3 235B A22B Thinking 2507 is $1.39/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 GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507 on Rival?

This page shows a side-by-side comparison of GPT-5.1-Codex-Mini 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 GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507?

GPT-5.1-Codex-Mini is developed by OpenAI while Qwen3 235B A22B Thinking 2507 is developed by Qwen. GPT-5.1-Codex-Mini has a 400K token context window vs Qwen3 235B A22B Thinking 2507's 131K. You can compare their actual outputs across 55 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.1-Codex-Mini or Qwen3 235B A22B Thinking 2507?

It depends on your use case. GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 55 challenges so you can judge which fits your needs best.

How much does GPT-5.1-Codex-Mini cost compared to Qwen3 235B A22B Thinking 2507?

GPT-5.1-Codex-Mini costs $1.5/M input tokens and Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens. Qwen3 235B A22B Thinking 2507 is $1.39/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 GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507 on Rival?

This page shows a side-by-side comparison of GPT-5.1-Codex-Mini 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.

GPT-5.1-Codex-Mini vs Qwen3 235B A22B Thinking 2507: Which Is Better?

Updated Nov 2025

Our Verdict

GPT-5.1-Codex-Mini

Qwen3 235B A22B Thinking 2507Runner-up

No community votes yet. On paper, GPT-5.1-Codex-Mini has the edge — newer, bigger context window, major provider backing.

Qwen3 235B A22B Thinking 2507 is 10x cheaper per token — worth considering if cost matters.

Too close to call

What do GPT-5.1-Codex-Mini 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

GPT-5.1-Codex-Mini

Input

$1.50

Output

$6.00

Qwen3 235B A22B Thinking 2507

Input

$0.11

14× cheaper

Output

$0.60

10× cheaper

Qwen3 235B A22B Thinking 2507 is cheaper on both — 14× input, 10× output

Writing DNA

Style Comparison

Similarity

29%

Qwen3 235B A22B Thinking 2507 uses 53.9x more emoji

GPT-5.1-Codex-Mini

Qwen3 235B A22B Thinking 2507

65%Vocabulary56%

20wSentence Length14w

0.56Hedging0.37

3.3Bold5.7

3.4Lists4.0

0.00Emoji0.54

0.08Headings0.70

0.05Transitions0.14

Based on 13 + 22 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Qwen3 235B A22B Thinking 2507 vs MiniMax M3New provider

Qwen3 235B A22B Thinking 2507 vs Ox AlphaNew provider

Qwen3 235B A22B Thinking 2507 vs Grok 3New provider

Updated Nov 2025

Our Verdict

GPT-5.1-Codex-Mini

Qwen3 235B A22B Thinking 2507Runner-up

No community votes yet. On paper, GPT-5.1-Codex-Mini has the edge — newer, bigger context window, major provider backing.

Qwen3 235B A22B Thinking 2507 is 10x cheaper per token — worth considering if cost matters.

Too close to call

What do GPT-5.1-Codex-Mini 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

GPT-5.1-Codex-Mini

Input

$1.50

Output

$6.00

Qwen3 235B A22B Thinking 2507

Input

$0.11

14× cheaper

Output

$0.60

10× cheaper

Qwen3 235B A22B Thinking 2507 is cheaper on both — 14× input, 10× output

Writing DNA

Style Comparison

Similarity

29%

Qwen3 235B A22B Thinking 2507 uses 53.9x more emoji

GPT-5.1-Codex-Mini

Qwen3 235B A22B Thinking 2507

65%Vocabulary56%

20wSentence Length14w

0.56Hedging0.37

3.3Bold5.7

3.4Lists4.0

0.00Emoji0.54

0.08Headings0.70

0.05Transitions0.14

Based on 13 + 22 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Qwen3 235B A22B Thinking 2507 vs MiniMax M3New provider

Qwen3 235B A22B Thinking 2507 vs Ox AlphaNew provider

Qwen3 235B A22B Thinking 2507 vs Grok 3New provider