Model Comparison

DeepSeek-V3 vs DeepSeek-V3 0324

DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 is 1.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 outperforms in 0 benchmarks, while DeepSeek-V3 0324 is better at 5 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500, MMLU-Pro).

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

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

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 1.0x cheaper than DeepSeek-V3 0324 ($1.14/1M tokens).

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

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

0.0M diff

DeepSeek-V3 0324 has 0.0B more parameters than DeepSeek-V3, making it 0.0% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
DeepSeek
DeepSeek-V3 0324
671.0Bparameters
671.0B
DeepSeek-V3
671.0B
DeepSeek-V3 0324

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to DeepSeek-V3's 131,072 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while DeepSeek-V3 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT + Model License (Commercial use allowed).

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while DeepSeek-V3 0324 was released on 2025-03-25.

DeepSeek-V3 0324 is 3 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

3mo 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 is available from DeepSeek. DeepSeek-V3 0324 is available from Novita.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
DeepSeek
Larger context window (163,840 tokens)
Higher AIME 2024 score (59.4% vs 39.2%)
Higher GPQA score (68.4% vs 59.1%)
Higher LiveCodeBench score (49.2% vs 37.6%)
Higher MATH-500 score (94.0% vs 90.2%)
Higher MMLU-Pro score (81.2% vs 75.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
DeepSeek
DeepSeek-V3 0324

FAQ

Common questions about DeepSeek-V3 vs DeepSeek-V3 0324

DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and DeepSeek-V3 0324 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%.
DeepSeek-V3 is 1.0x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita.
DeepSeek-V3 supports 131K tokens and DeepSeek-V3 0324 supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 164K), input pricing ($0.27 vs $0.28/M). See the full comparison above for benchmark-by-benchmark results.