DeepSeek has launched a newer model, DeepSeek V3.1, we suggest considering this model instead.
For more information, see Comparison of DeepSeek V3.1 to other models and API provider benchmarks for DeepSeek V3.1.
DeepSeek V3 0324 Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 671B |
| Active parameters | 37B Number of parameters active per token during inference |
| License | MIT |
| Model weights | Hugging Face |
DeepSeek V3 0324 is above average in intelligence, but particularly expensive when comparing to other open weight non-reasoning models of similar size. The model supports text input, outputs text, and has a 128k tokens context window.
DeepSeek V3 0324 scores 22 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 22). When evaluating the Intelligence Index, it generated 4.0M tokens, which is fairly concise in comparison to the average of 8.1M.
Pricing for DeepSeek V3 0324 is $1.25 per 1M input tokens (expensive, average: $0.56) and $1.45 per 1M output tokens (moderately priced, average: $1.59). In total, it cost $62.54 to evaluate DeepSeek V3 0324 on the Intelligence Index.
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of DeepSeek V3 0324 API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about DeepSeek V3 0324
DeepSeek V3 0324 was released on March 25, 2025.
DeepSeek V3 0324 was created by DeepSeek.
DeepSeek V3 0324 scores 22 on the Artificial Analysis Intelligence Index, placing it above average among other open weight non-reasoning models of similar size (median: 22).
DeepSeek V3 0324 costs $1.25 per 1M input tokens (at the higher end, median: $0.60) and $1.45 per 1M output tokens (very competitive, median: $2.33), based on the median across providers serving the model.
DeepSeek V3 0324 costs $1.25 per 1M input tokens and $1.45 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $1.25 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, DeepSeek V3 0324 generated 4.0M output tokens, which is better than average compared to other open weight non-reasoning models of similar size (median: 8.1M).
No, DeepSeek V3 0324 is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
DeepSeek V3 0324 supports text input.
DeepSeek V3 0324 supports text output.
No, DeepSeek V3 0324 does not support image input. It can only process text.
No, DeepSeek V3 0324 is not multimodal. It only supports text input.
DeepSeek V3 0324 has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, DeepSeek V3 0324 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
DeepSeek V3 0324 has 671 billion parameters (37 billion active).
DeepSeek V3 0324 is a Mixture of Experts (MoE) model with 671 billion total parameters, but only 37 billion active parameters are used during inference.
DeepSeek V3 0324 is released under the MIT license. This license allows commercial use. View license
DeepSeek V3 0324 achieves a score of 22 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, DeepSeek V3 0324 is available via API through 9 providers. Compare API providers
DeepSeek V3 0324 is available through 9 API providers. Compare providers