Model Comparison

DeepSeek-V3 0324 vs DeepSeek-V3.2-Exp

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 1.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 0324 outperforms in 0 benchmarks, while DeepSeek-V3.2-Exp is better at 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro).

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 1.0x more expensive than DeepSeek-V3.2-Exp ($0.27/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 2.8x more expensive than DeepSeek-V3.2-Exp ($0.41/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Wed May 13 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

14.0B diff

DeepSeek-V3.2-Exp has 14.0B more parameters than DeepSeek-V3 0324, making it 2.1% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
671.0B
DeepSeek-V3 0324
685.0B
DeepSeek-V3.2-Exp

Context Window

Maximum input and output token capacity

Both models have the same input context window of 163,840 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Wed May 13 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while DeepSeek-V3.2-Exp uses MIT.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

DeepSeek-V3.2-Exp

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while DeepSeek-V3.2-Exp was released on 2025-09-29.

DeepSeek-V3.2-Exp is 6 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

6mo newer

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 0324 is available from Novita. DeepSeek-V3.2-Exp is available from Novita.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek

No standout differentiators in the data we have for this pair.

DeepSeek
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (79.9% vs 68.4%)
Higher LiveCodeBench score (74.1% vs 49.2%)
Higher MMLU-Pro score (85.0% vs 81.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
DeepSeek
DeepSeek-V3.2-Exp

FAQ

Common questions about DeepSeek-V3 0324 vs DeepSeek-V3.2-Exp.

Which is better, DeepSeek-V3 0324 or DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and DeepSeek-V3.2-Exp is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 0324 compare to DeepSeek-V3.2-Exp in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%.

Is DeepSeek-V3 0324 cheaper than DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp is 1.0x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita.

What are the context window sizes for DeepSeek-V3 0324 and DeepSeek-V3.2-Exp?

DeepSeek-V3 0324 supports 164K tokens and DeepSeek-V3.2-Exp supports 164K 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 0324 and DeepSeek-V3.2-Exp?

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