What is the difference between Llama 3.1 70B (Instruct) and Qwen3 235B A22B Thinking 2507?

Llama 3.1 70B (Instruct) is developed by Meta AI while Qwen3 235B A22B Thinking 2507 is developed by Qwen. Llama 3.1 70B (Instruct) has a 128K token context window vs Qwen3 235B A22B Thinking 2507's 131K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

Which is better, Llama 3.1 70B (Instruct) or Qwen3 235B A22B Thinking 2507?

It depends on your use case. Llama 3.1 70B (Instruct) and Qwen3 235B A22B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

How much does Llama 3.1 70B (Instruct) cost compared to Qwen3 235B A22B Thinking 2507?

Llama 3.1 70B (Instruct) costs $0.59/M input tokens and Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens. Qwen3 235B A22B Thinking 2507 is $0.48/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 Llama 3.1 70B (Instruct) and Qwen3 235B A22B Thinking 2507 on Rival?

This page shows a side-by-side comparison of Llama 3.1 70B (Instruct) 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 Llama 3.1 70B (Instruct) and Qwen3 235B A22B Thinking 2507?

Llama 3.1 70B (Instruct) is developed by Meta AI while Qwen3 235B A22B Thinking 2507 is developed by Qwen. Llama 3.1 70B (Instruct) has a 128K token context window vs Qwen3 235B A22B Thinking 2507's 131K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

Which is better, Llama 3.1 70B (Instruct) or Qwen3 235B A22B Thinking 2507?

It depends on your use case. Llama 3.1 70B (Instruct) and Qwen3 235B A22B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

How much does Llama 3.1 70B (Instruct) cost compared to Qwen3 235B A22B Thinking 2507?

Llama 3.1 70B (Instruct) costs $0.59/M input tokens and Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens. Qwen3 235B A22B Thinking 2507 is $0.48/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 Llama 3.1 70B (Instruct) and Qwen3 235B A22B Thinking 2507 on Rival?

This page shows a side-by-side comparison of Llama 3.1 70B (Instruct) 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.

Updated Jul 2025

Llama 3.1 70B (Instruct)vsQwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 is cheaper than Llama 3.1 70B (Instruct) at $0.11/M vs $0.59/M input tokens.

Llama 3.1 70B (Instruct) and Qwen3 235B A22B Thinking 2507 compared across 52 shared prompts
Spec	Llama 3.1 70B (Instruct)	Qwen3 235B A22B Thinking 2507
Input price	$0.59/M tokens	$0.11/M tokens
Output price	$0.79/M tokens	$0.6/M tokens
Context window	128K tokens	131K tokens
Released	Jul 2024	Jul 2025

Our Verdict

Qwen3 235B A22B Thinking 2507

Llama 3.1 70B (Instruct)Runner-up

Not enough votes to call it. On the specs, Qwen3 235B A22B Thinking 2507 has the edge: bigger model tier, newer.

Qwen3 235B A22B Thinking 2507 wins 3 categories, Web Design by the widest margin.

Slight edge

What do Llama 3.1 70B (Instruct) 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

Llama 3.1 70B (Instruct)

Input

$0.59

Output

$0.79

Qwen3 235B A22B Thinking 2507

Input

$0.11

5.4× cheaper

Output

$0.60

1.3× cheaper

Qwen3 235B A22B Thinking 2507 is cheaper on both — 5.4× input, 1.3× output

Writing DNA

Style Comparison

Similarity

43%

Qwen3 235B A22B Thinking 2507 uses 53.9x more emoji

Llama 3.1 70B (Instruct)

Qwen3 235B A22B Thinking 2507

51%Vocabulary56%

18wSentence Length14w

0.46Hedging0.37

3.4Bold5.7

5.6Lists4.0

0.00Emoji0.54

0.00Headings0.70

0.06Transitions0.14

Based on 15 + 22 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

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Llama 3.1 70B (Instruct) vs Ox AlphaNew provider

Llama 3.1 70B (Instruct) vs Claude Opus 4New provider

Llama 3.1 70B (Instruct) vs Claude Opus 4.1New provider

Llama 3.1 70B (Instruct) vs Nova Premier 1.0New provider

Qwen3 235B A22B Thinking 2507 vs o1New provider

Llama 3.1 70B (Instruct) vs OpenAI o3New provider

Qwen3 235B A22B Thinking 2507 vs o3 MiniNew provider

Updated Jul 2025

Llama 3.1 70B (Instruct)vsQwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 is cheaper than Llama 3.1 70B (Instruct) at $0.11/M vs $0.59/M input tokens.

Llama 3.1 70B (Instruct) and Qwen3 235B A22B Thinking 2507 compared across 52 shared prompts
Spec	Llama 3.1 70B (Instruct)	Qwen3 235B A22B Thinking 2507
Input price	$0.59/M tokens	$0.11/M tokens
Output price	$0.79/M tokens	$0.6/M tokens
Context window	128K tokens	131K tokens
Released	Jul 2024	Jul 2025

Our Verdict

Qwen3 235B A22B Thinking 2507

Llama 3.1 70B (Instruct)Runner-up

Not enough votes to call it. On the specs, Qwen3 235B A22B Thinking 2507 has the edge: bigger model tier, newer.

Qwen3 235B A22B Thinking 2507 wins 3 categories, Web Design by the widest margin.

Slight edge

What do Llama 3.1 70B (Instruct) 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

Llama 3.1 70B (Instruct)

Input

$0.59

Output

$0.79

Qwen3 235B A22B Thinking 2507

Input

$0.11

5.4× cheaper

Output

$0.60

1.3× cheaper

Qwen3 235B A22B Thinking 2507 is cheaper on both — 5.4× input, 1.3× output

Writing DNA

Style Comparison

Similarity

43%

Qwen3 235B A22B Thinking 2507 uses 53.9x more emoji

Llama 3.1 70B (Instruct)

Qwen3 235B A22B Thinking 2507

51%Vocabulary56%

18wSentence Length14w

0.46Hedging0.37

3.4Bold5.7

5.6Lists4.0

0.00Emoji0.54

0.00Headings0.70

0.06Transitions0.14

Based on 15 + 22 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Llama 3.1 70B (Instruct) vs MiniMax M3New provider

Llama 3.1 70B (Instruct) vs Ox AlphaNew provider

Llama 3.1 70B (Instruct) vs Claude Opus 4New provider

Llama 3.1 70B (Instruct) vs Claude Opus 4.1New provider

Llama 3.1 70B (Instruct) vs Nova Premier 1.0New provider

Qwen3 235B A22B Thinking 2507 vs o1New provider

Llama 3.1 70B (Instruct) vs OpenAI o3New provider

Qwen3 235B A22B Thinking 2507 vs o3 MiniNew provider