DeepSeek-V3 (Mar 2025)
DeepSeek-V3 (Mar 2025) is an open-weights language model from DeepSeek, released March 24, 2025. On the Epoch Capabilities Index it scores 135.2, rank 141 of 256 rated models.
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Can you run DeepSeek-V3 (Mar 2025) locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Size unknown | – | – | – | – |
| 8 GB VRAM | Size unknown | – | – | – | – |
| 12 GB VRAM | Size unknown | – | – | – | – |
| 16 GB VRAM | Size unknown | – | – | – | – |
| 24 GB VRAM | Size unknown | – | – | – | – |
| 32 GB VRAM | Size unknown | – | – | – | – |
Parameter count unknown. The weights may not be on Hugging Face yet.
Strengths by category
ModelTape's 0–100 fit on Epoch AI benchmark results.
| Category | Score | Based on |
|---|---|---|
| Math | 24.7 | MATH level 5, OTIS Mock AIME 2024-2025 |
Benchmark results
| Benchmark (Epoch AI) | Score |
|---|---|
| MATH level 5 | 75.5% |
| GPQA Diamond | 59.2% |
| Aider Polyglot | 55.1% |
| OTIS Mock AIME | 37.7% |
| SimpleBench | 12.6% |
Links
Models with a similar score
GPT-5 nano · DeepSeek-R1 · Qwen3-235B-A22B · Qwen3-30B-A3B-Thinking (Jul 2025) · Qwen3-235B-A22B-Instruct (Jul 2025) · Grok 3 · Qwen3-32B · QwQ-32B
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