ModelTape
All modelsNew releasesRankingsRuns on my GPUOpen the app →
ModelTape / Models / DeepSeek-R1 (May 2025)
DeepSeek · open-weights

DeepSeek-R1 (May 2025)

DeepSeek-R1 (May 2025) is an open-weights language model from DeepSeek, released May 28, 2025. On the Epoch Capabilities Index it scores 140.7, rank 123 of 256 rated models.

Check it against your own PC →

Lab
DeepSeek
Released
May 28, 2025
Weights
Open unrestricted
Parameters
–
Context
–
Price / M tokens
–
Epoch ECI
140.7 #123

Can you run DeepSeek-R1 (May 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 memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize 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.

CategoryScoreBased on
Math39.9MATH level 5, OTIS Mock AIME 2024-2025

Benchmark results

Benchmark (Epoch AI)Score
MATH level 596.6%
Aider Polyglot71.4%
GPQA Diamond71.3%
OTIS Mock AIME66.4%
SimpleBench29.0%

Links

Epoch AI benchmarks

Models with a similar score

DeepSeek-V3.2-Exp · Grok 4 Fast · Gemma 4 31B IT · Qwen 3.6 35B-A3B · Qwen3.5-35B-A3B · Gemini 2.5 Pro (Mar 2025) · Qwen 3.5 Flash (hosted 35B-A3B) · Qwen 3.6 Flash

More from DeepSeek

DeepSeek V4.1 Flash 1017 · DeepSeek V4 Flash Vision Exp · DeepSeek V4.1 Flash · DeepSeek V4 Pro 0813 · DeepSeek V4 Flash 0731 · DeepSeek V4 Pro DSpark · DeepSeek V4 Flash DSpark · DeepSeek-V4-Pro

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
Live app · All models · New releases · Rankings · 6 GB · 8 GB · 12 GB · 16 GB · 24 GB · 32 GB · Legal notice (Impressum) · Privacy