What is the difference between DeepSeek V3.2 and Qwen3.5 397B A17B?

DeepSeek V3.2 is developed by DeepSeek while Qwen3.5 397B A17B is developed by Qwen. DeepSeek V3.2 has a 131K token context window vs Qwen3.5 397B A17B's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V3.2 or Qwen3.5 397B A17B?

It depends on your use case. DeepSeek V3.2 and Qwen3.5 397B A17B 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 DeepSeek V3.2 cost compared to Qwen3.5 397B A17B?

DeepSeek V3.2 costs $0.28/M input tokens and Qwen3.5 397B A17B costs $0.6/M input tokens. DeepSeek V3.2 is $0.32/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 DeepSeek V3.2 and Qwen3.5 397B A17B on Rival?

This page shows a side-by-side comparison of DeepSeek V3.2 and Qwen3.5 397B A17B 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 DeepSeek V3.2 and Qwen3.5 397B A17B?

DeepSeek V3.2 is developed by DeepSeek while Qwen3.5 397B A17B is developed by Qwen. DeepSeek V3.2 has a 131K token context window vs Qwen3.5 397B A17B's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V3.2 or Qwen3.5 397B A17B?

It depends on your use case. DeepSeek V3.2 and Qwen3.5 397B A17B 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 DeepSeek V3.2 cost compared to Qwen3.5 397B A17B?

DeepSeek V3.2 costs $0.28/M input tokens and Qwen3.5 397B A17B costs $0.6/M input tokens. DeepSeek V3.2 is $0.32/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 DeepSeek V3.2 and Qwen3.5 397B A17B on Rival?

This page shows a side-by-side comparison of DeepSeek V3.2 and Qwen3.5 397B A17B 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 Feb 2026

DeepSeek V3.2vsQwen3.5 397B A17B

DeepSeek V3.2 is cheaper than Qwen3.5 397B A17B at $0.28/M vs $0.6/M input tokens.

DeepSeek V3.2 and Qwen3.5 397B A17B compared across 53 shared prompts
Spec	DeepSeek V3.2	Qwen3.5 397B A17B
Input price	$0.28/M tokens	$0.6/M tokens
Output price	$0.42/M tokens	$3.6/M tokens
Context window	131K tokens	262K tokens
Released	Dec 2025	Feb 2026
SWE-bench Verified	73.1%	76.4%

Our Verdict

Qwen3.5 397B A17B

DeepSeek V3.2Runner-up

Not enough votes to call it. On the specs, Qwen3.5 397B A17B has the edge: bigger model tier, newer, bigger context window.

DeepSeek V3.2 costs 8.6x less per token.

Too close to call

What do DeepSeek V3.2 and Qwen3.5 397B A17B say about your brand?

10 models, one question, verbatim receipts.

or peek at a demo: Notion Linear Vercel

API pricing

Cost per 1M tokens

DeepSeek V3.2

Input

$0.28

2.1× cheaper

Output

$0.42

8.6× cheaper

Qwen3.5 397B A17B

Input

$0.60

Output

$3.60

DeepSeek V3.2 is cheaper on both — 2.1× input, 8.6× output

Writing DNA

Style Comparison

Similarity

51%

Qwen3.5 397B A17B uses 22.8x more emoji

DeepSeek V3.2

Qwen3.5 397B A17B

52%Vocabulary54%

31wSentence Length14w

0.58Hedging0.39

6.3Bold6.9

5.4Lists4.2

0.00Emoji0.23

0.80Headings0.93

0.13Transitions0.17

Based on 24 + 23 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

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DeepSeek V3.2 vs Llama 4 MaverickNew provider

DeepSeek V3.2 vs GPT-3.5 TurboNew provider

DeepSeek V3.2 vs GPT-4New provider

DeepSeek V3.2 vs GPT-4.1New provider

DeepSeek V3.2 vs GPT-4.1 MiniNew provider

Updated Feb 2026

DeepSeek V3.2vsQwen3.5 397B A17B

DeepSeek V3.2 is cheaper than Qwen3.5 397B A17B at $0.28/M vs $0.6/M input tokens.

DeepSeek V3.2 and Qwen3.5 397B A17B compared across 53 shared prompts
Spec	DeepSeek V3.2	Qwen3.5 397B A17B
Input price	$0.28/M tokens	$0.6/M tokens
Output price	$0.42/M tokens	$3.6/M tokens
Context window	131K tokens	262K tokens
Released	Dec 2025	Feb 2026
SWE-bench Verified	73.1%	76.4%

Our Verdict

Qwen3.5 397B A17B

DeepSeek V3.2Runner-up

Not enough votes to call it. On the specs, Qwen3.5 397B A17B has the edge: bigger model tier, newer, bigger context window.

DeepSeek V3.2 costs 8.6x less per token.

Too close to call

What do DeepSeek V3.2 and Qwen3.5 397B A17B say about your brand?

10 models, one question, verbatim receipts.

or peek at a demo: Notion Linear Vercel

API pricing

Cost per 1M tokens

DeepSeek V3.2

Input

$0.28

2.1× cheaper

Output

$0.42

8.6× cheaper

Qwen3.5 397B A17B

Input

$0.60

Output

$3.60

DeepSeek V3.2 is cheaper on both — 2.1× input, 8.6× output

Writing DNA

Style Comparison

Similarity

51%

Qwen3.5 397B A17B uses 22.8x more emoji

DeepSeek V3.2

Qwen3.5 397B A17B

52%Vocabulary54%

31wSentence Length14w

0.58Hedging0.39

6.3Bold6.9

5.4Lists4.2

0.00Emoji0.23

0.80Headings0.93

0.13Transitions0.17

Based on 24 + 23 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

DeepSeek V3.2 vs Ox AlphaNew provider

DeepSeek V3.2 vs MiniMax M3New provider

DeepSeek V3.2 vs GPT-5New provider

DeepSeek V3.2 vs Llama 4 MaverickNew provider

DeepSeek V3.2 vs GPT-3.5 TurboNew provider

DeepSeek V3.2 vs GPT-4New provider

DeepSeek V3.2 vs GPT-4.1New provider

DeepSeek V3.2 vs GPT-4.1 MiniNew provider