DE
DeepSeek
Language model · China ·Feb 2024

DeepSeekMath 7B

Language Open (Restricted)
7B
Parameters

About DeepSeekMath 7B

DeepSeekMath 7B is an AI model developed by DeepSeek, in the language category, released in 2024, made available as an open-weights model with 7B params.

On this page you'll find DeepSeekMath 7B's full specifications. Review provider pricing and benchmark scores below, or compare DeepSeekMath 7B head-to-head with other language models.

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Run DeepSeekMath 7B locally — what to buy

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Sized to what DeepSeekMath 7B actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Frequently asked questions

What is DeepSeekMath 7B?

DeepSeekMath 7B is an AI model developed by DeepSeek, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created DeepSeekMath 7B?

DeepSeekMath 7B was developed by DeepSeek and released in 2024.

Is DeepSeekMath 7B open source or proprietary?

DeepSeekMath 7B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does DeepSeekMath 7B cost?

Pricing for DeepSeekMath 7B depends on the provider. See the providers table on this page for the latest API rates.

How does DeepSeekMath 7B perform on benchmarks?

Benchmark scores for DeepSeekMath 7B are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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