DeepSeek logo Open weights · MIT

DeepSeek Prover V2

A 671B MoE model (37B active) for formal theorem proving in Lean 4, with weights under the MIT license.

Key Specifications

Context window
164K tokens
Released
Parameters
671B, 37B active
Inputs
Text

Hosted API pricing

Provider Input /1M tokens Output /1M tokens Cost at 10M in + 2M out
DeepSeek logo DeepSeek Creator Open weights, no hosted price View

Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.

Estimated cost to self-host

DeepSeek Prover V2 needs about 373 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A100 at about $10,138 a month.

Single node ≤ 8
Precision Memory Cheapest fit (32K context) Cost /mo
4-bitINT4 / FP4
373 GB
$10,138
8-bitFP8 / INT8
674 GB
$12,672
16-bitFP16 / BF16
1,346 GB
$45,446

Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.

Frequently Asked Questions

What is DeepSeek Prover V2 good for?

Formal theorem proving in Lean 4. MIT-licensed weights for teams running their own proof pipelines, on a multi-GPU node.

When is DeepSeek Prover V2 not a good fit?

General chat, coding or agent use: it has no tool calling, and it takes text only. Running it takes a multi-GPU node.

What is the cheapest way to run DeepSeek Prover V2?

No provider we track hosts it; self-hosting on the cheapest rental that fits (8x A100, $14.08 per hour) costs about $10,138 a month.

Can I self-host DeepSeek Prover V2?

Yes. The weights are MIT licensed. At 4-bit it needs about 373 GB of GPU memory, which starts at roughly $10,138 a month on the cheapest rental that fits.

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