DeepSeek V3 0324
DeepSeek V 3 0324 is a chat model developed by DeepSeek, capable of tasks such as code generation, function calling, and text generation, with a context window of 131,072 tokens. It demonstrates improved reasoning capabilities, as evidenced by its benchmark scores, including a 5.3% increase in MMLU-Pro and a 9.3% increase in GPQA. Notably, its architecture supports a long context window, allowing it to process and respond to lengthy inputs.
Input
Output
Context
131K
Max Output
8K
Parameters
684.5B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Served variants
The same model in other encodings or serving configurations. Requesting deepseek-v3-0324 lets routing pick among them; the ids below pin one build.
deepseek-v3-0324:fp4quantized
Benchmarks
Resources & Links
Estimated GPU requirements for DeepSeek V3 0324
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about DeepSeek V3 0324
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
DeepSeek V3 0324 advertises a context window of 131,072 tokens, with a maximum output of 8,192 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. DeepSeek V3 0324 is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
DeepSeek V3 0324 accepts Text and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
DeepSeek V3 0324 has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured DeepSeek V3 0324 is shown as not available rather than estimated.
Yes. DeepSeek V3 0324 is served on the managed pool through the OpenAI-compatible endpoint as deepseek-v3-0324, pinned by name or chosen by routing when it is the best fit for a request. The Try in Playground button opens it directly.
About 659.2 GB at INT8 for the weights and a default context, from the catalog's 684.5B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Sep 22, 2026
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