Model comparison
DeepSeek-V3-0324 vs DeepSeek-V3
- Input
- $0.27 / 1M tokens (cache miss)
- Output
- $1.10 / 1M tokens
- Context
- 128K
- Released
- 2025-03-24
- Input
- $0.27 / 1M tokens (cache miss)
- Output
- $1.10 / 1M tokens
- Context
- 128K tokens
- Released
- 2024-12-26
DeepSeek-V3-0324 scores higher on 2 of the 2 benchmarks both models report; both charge the same $0.3 per 1M input tokens.
Specs and pricing side by side
| Spec | DeepSeek-V3-0324 | DeepSeek-V3 |
|---|---|---|
| Maker | DeepSeek | DeepSeeksame |
| Released | 2025-03-24 | 2024-12-26 |
| Context window | 128K | 128K tokens |
| Max output | 8K | not published |
| Input price | $0.27 / 1M tokens (cache miss) | $0.27 / 1M tokens (cache miss)same |
| Output price | $1.10 / 1M tokens | $1.10 / 1M tokenssame |
| Parameters | 671B total / 37B active (685B checkpoint) | 671B total / 37B active per token (Mixture-of-Experts) |
| License | MIT | DeepSeek Model License (commercial use permitted); code under MIT |
| Weights | Open weights | Open weightssame |
| Modalities | Text | text |
| Knowledge cutoff | July 2024 | not published |
Benchmarks both models report
| Benchmark | DeepSeek-V3-0324 | DeepSeek-V3 |
|---|---|---|
| MMLU-Pro | 81.2% | 75.9% |
| LiveCodeBench | 49.2% | 37.6% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick DeepSeek-V3-0324 if…
- You care about MMLU-Pro, LiveCodeBench (it scores higher on 2 shared benchmarks).
- You need Text input, which DeepSeek-V3 lacks.
- Your use case is: self-hosted general-purpose chat and assistant deployments where open weights and MIT licensing matter.
Pick DeepSeek-V3 if…
- You need text input, which DeepSeek-V3-0324 lacks.
- Your use case is: general-purpose chat and instruction following at low cost.
FAQ
Which is better, DeepSeek-V3-0324 or DeepSeek-V3?
DeepSeek-V3-0324 scores higher on 2 of the 2 benchmarks both models report; both charge the same $0.3 per 1M input tokens. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How do DeepSeek-V3-0324 and DeepSeek-V3 pricing compare?
DeepSeek-V3-0324: $0.27 / 1M tokens (cache miss) input, $1.10 / 1M tokens output. DeepSeek-V3: $0.27 / 1M tokens (cache miss) input, $1.10 / 1M tokens output (list API prices as published by each maker).
What are the context windows of DeepSeek-V3-0324 and DeepSeek-V3?
DeepSeek-V3-0324 offers 128K with up to 8K output; DeepSeek-V3 offers 128K tokens.
Is DeepSeek-V3-0324 newer than DeepSeek-V3?
DeepSeek-V3-0324 was released 2025-03-24; DeepSeek-V3 was released 2024-12-26.