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DeepSeek-V3.2 (Non-thinking) vs DeepSeek-V3

Comparing DeepSeek-V3.2 (Non-thinking) and DeepSeek-V3 across benchmarks, pricing, and capabilities.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V3.2 (Non-thinking) and DeepSeek-V3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, DeepSeek-V3.2 (Non-thinking) is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3.2 (Non-thinking)

  • cost matters — it's about 1.5x cheaper per token
  • you want the most recent training data — it shipped Dec 2025

Choose DeepSeek-V3

  • you want predictable pricing at $0.27/M input and $1.10/M output

At a glance

The differences that matter most.

DeepSeek-V3.2 (Non-thinking)
DeepSeek
DeepSeek-V3
DeepSeek
Benchmark wins
—
—
Input price
$0.28 / M
$0.27 / M
Output price
$0.42 / M
$1.10 / M
Context window
131,072
131,072

Individual benchmarks

0 reported for DeepSeek-V3.2 (Non-thinking) · 20 for DeepSeek-V3

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) and DeepSeek-V3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Non-thinking) costs less

For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 1.0x more expensive than DeepSeek-V3 ($0.27/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 2.6x cheaper than DeepSeek-V3 ($1.10/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than DeepSeek-V3.2 (Non-thinking).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Sep 04 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

14.0B diff

DeepSeek-V3.2 (Non-thinking) has 14.0B more parameters than DeepSeek-V3, making it 2.1% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
DeepSeek
DeepSeek-V3
671.0Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
671.0B
DeepSeek-V3

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek-V3.2 (Non-thinking) is 11 months newer than DeepSeek-V3.

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

9 months ago

11mo newer
DeepSeek-V3

Dec 25, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3.2 (Non-thinking) is available from DeepSeek. DeepSeek-V3 is available from DeepSeek.

DeepSeek-V3.2 (Non-thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3.2 (Non-thinking) and DeepSeek-V3 side-by-side, then vote on the output you prefer.

DeepSeek-V3.2 (Non-thinking)
✓ Preferred
DeepSeek-V3
Open in Playground

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs DeepSeek-V3.

Which is better, DeepSeek-V3.2 (Non-thinking) or DeepSeek-V3?

DeepSeek-V3.2 (Non-thinking) (DeepSeek) and DeepSeek-V3 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V3.2 (Non-thinking) compare to DeepSeek-V3 in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.

Is DeepSeek-V3.2 (Non-thinking) cheaper than DeepSeek-V3?

DeepSeek-V3 is 1.0x cheaper for input tokens. DeepSeek-V3.2 (Non-thinking) costs $0.28/M input and $0.42/M output via deepseek. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek.

What are the context window sizes for DeepSeek-V3.2 (Non-thinking) and DeepSeek-V3?

DeepSeek-V3.2 (Non-thinking) supports 131K tokens and DeepSeek-V3 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2 (Non-thinking) and DeepSeek-V3?

Key differences include input pricing ($0.28 vs $0.27/M), licensing (MIT vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.

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