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DeepSeek-V2 (MoE-236B)
About DeepSeek-V2 (MoE-236B)
DeepSeek-V2 (MoE-236B) is an AI model developed by DeepSeek, in the language category, released in 2024, made available as an open-weights model with 236B params.
On this page you'll find DeepSeek-V2 (MoE-236B)'s full specifications, including 9 benchmark results. Review provider pricing and benchmark scores below, or compare DeepSeek-V2 (MoE-236B) head-to-head with other language models.
Links
Run DeepSeek-V2 (MoE-236B) locally — what to buy
Share this build ↗Sized to what DeepSeek-V2 (MoE-236B) 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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DeepSeek-V2 (MoE-236B) benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| HumanEval | code | 81.1% | cited-telechat2 |
| MBPP | code | 72% | cited-telechat2 |
| AlignBench v1.1 | general | 7.91 | cited-telechat2 |
| C-Eval | general | 78% | cited-telechat2 |
| IFEval | general | 63.8% | cited-telechat2 |
| MMLU | general | 77.8% | cited-telechat2 |
| CMMLU | knowledge | 81.6 | cited-telechat2 |
| GSM8K | math | 92.2% | cited-telechat2 |
| BIG-Bench Hard | reasoning | 79.7% | cited-telechat2 |
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Frequently asked questions
What is DeepSeek-V2 (MoE-236B)? ▶
DeepSeek-V2 (MoE-236B) 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 DeepSeek-V2 (MoE-236B)? ▶
DeepSeek-V2 (MoE-236B) was developed by DeepSeek and released in 2024.
Is DeepSeek-V2 (MoE-236B) open source or proprietary? ▶
DeepSeek-V2 (MoE-236B) 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 DeepSeek-V2 (MoE-236B) cost? ▶
Pricing for DeepSeek-V2 (MoE-236B) depends on the provider. See the providers table on this page for the latest API rates.
How does DeepSeek-V2 (MoE-236B) perform on benchmarks? ▶
DeepSeek-V2 (MoE-236B) is benchmarked across 9 evaluations on GenAIList, including HumanEval (81.1%). See the full benchmark table below and compare it with other models.
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