DeepSeek-V3 vs DeepSeek-V3 0324
DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 is 1.0x cheaper per token.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
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.
DeepSeek-V3 0324 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V3
- you want predictable pricing at $0.27/M input and $1.10/M output
Choose DeepSeek-V3 0324
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 163,840 token context window
- you want the most recent training data — it shipped Mar 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
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
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 0.0B more parameters than DeepSeek-V3, making it 0.0% larger.
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.
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.
MIT + Model License (Commercial use allowed)
Open weights
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.
Dec 25, 2024
1.7 years ago
Mar 25, 2025
1.4 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3 is available from DeepSeek. DeepSeek-V3 0324 is available from Novita.
DeepSeek-V3
DeepSeek-V3 0324
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 and DeepSeek-V3 0324 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 vs DeepSeek-V3 0324.