What is the difference between GPT-5.4 Nano and Qwen3 30B A3B Thinking 2507?

GPT-5.4 Nano is developed by OpenAI while Qwen3 30B A3B Thinking 2507 is developed by Qwen. GPT-5.4 Nano has a 400K token context window vs Qwen3 30B A3B Thinking 2507's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.4 Nano or Qwen3 30B A3B Thinking 2507?

It depends on your use case. GPT-5.4 Nano and Qwen3 30B A3B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does GPT-5.4 Nano cost compared to Qwen3 30B A3B Thinking 2507?

GPT-5.4 Nano costs $0.2/M input tokens and Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens. Qwen3 30B A3B Thinking 2507 is $0.13/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-5.4 Nano and Qwen3 30B A3B Thinking 2507 on Rival?

This page shows a side-by-side comparison of GPT-5.4 Nano and Qwen3 30B A3B 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-5.4 Nano and Qwen3 30B A3B Thinking 2507?

GPT-5.4 Nano is developed by OpenAI while Qwen3 30B A3B Thinking 2507 is developed by Qwen. GPT-5.4 Nano has a 400K token context window vs Qwen3 30B A3B Thinking 2507's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.4 Nano or Qwen3 30B A3B Thinking 2507?

It depends on your use case. GPT-5.4 Nano and Qwen3 30B A3B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does GPT-5.4 Nano cost compared to Qwen3 30B A3B Thinking 2507?

GPT-5.4 Nano costs $0.2/M input tokens and Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens. Qwen3 30B A3B Thinking 2507 is $0.13/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-5.4 Nano and Qwen3 30B A3B Thinking 2507 on Rival?

This page shows a side-by-side comparison of GPT-5.4 Nano and Qwen3 30B A3B 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-5.4 Nano vs Qwen3 30B A3B Thinking 2507: Which Is Better?

Updated Mar 2026

Our Verdict

GPT-5.4 Nano

Qwen3 30B A3B Thinking 2507

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

Qwen3 30B A3B Thinking 2507 is 4.4x cheaper per token — worth considering if cost matters.

Too close to call

What do GPT-5.4 Nano and Qwen3 30B A3B 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-5.4 Nano

Input

$0.20

Output

$1.25

Qwen3 30B A3B Thinking 2507

Input

$0.07

2.8× cheaper

Output

$0.28

4.4× cheaper

Qwen3 30B A3B Thinking 2507 is cheaper on both — 2.8× input, 4.4× output

Writing DNA

Style Comparison

Similarity

50%

Qwen3 30B A3B Thinking 2507 uses 67.9x more emoji

GPT-5.4 Nano

Qwen3 30B A3B Thinking 2507

51%Vocabulary54%

21wSentence Length14w

0.58Hedging0.12

7.1Bold7.5

5.5Lists4.2

0.01Emoji0.68

1.39Headings0.93

0.05Transitions0.12

Based on 23 + 16 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Qwen3 30B A3B Thinking 2507 vs MiniMax M3New provider

Qwen3 30B A3B Thinking 2507 vs Ox AlphaNew provider

Qwen3 30B A3B Thinking 2507 vs Claude Sonnet 4New provider

Updated Mar 2026

Our Verdict

GPT-5.4 Nano

Qwen3 30B A3B Thinking 2507

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

Qwen3 30B A3B Thinking 2507 is 4.4x cheaper per token — worth considering if cost matters.

Too close to call

What do GPT-5.4 Nano and Qwen3 30B A3B 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-5.4 Nano

Input

$0.20

Output

$1.25

Qwen3 30B A3B Thinking 2507

Input

$0.07

2.8× cheaper

Output

$0.28

4.4× cheaper

Qwen3 30B A3B Thinking 2507 is cheaper on both — 2.8× input, 4.4× output

Writing DNA

Style Comparison

Similarity

50%

Qwen3 30B A3B Thinking 2507 uses 67.9x more emoji

GPT-5.4 Nano

Qwen3 30B A3B Thinking 2507

51%Vocabulary54%

21wSentence Length14w

0.58Hedging0.12

7.1Bold7.5

5.5Lists4.2

0.01Emoji0.68

1.39Headings0.93

0.05Transitions0.12

Based on 23 + 16 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Qwen3 30B A3B Thinking 2507 vs MiniMax M3New provider

Qwen3 30B A3B Thinking 2507 vs Ox AlphaNew provider

Qwen3 30B A3B Thinking 2507 vs Claude Sonnet 4New provider