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AI models
deepseek

DeepSeek-R1-Distill-Qwen-32B

AI model Released

Context window
131,072 tokens
Maximum output
32,768 tokens
Total parameters
32.76 B
Open weights
Yes

Model performance

Radar task score: four tests, equal weight. An experimental summary of these tasks, not a universal intelligence rating.

DeepSeek-R1-Distill-Qwen-32B

Radar task score

Unrated

1/4 core tests · not enough evidence

2 benchmark results for this configuration

Scientific reasoning

GPQA Diamond · 25%

Expert-written science questions; strict multiple-choice scoring. Chance accuracy is 25%.

DeepSeek-R1-Distill-Qwen-32B 64.1*% Approx. 95% interval: 58.7–69.5%

Novel problem solving

Mystery Game Puzzles · 25%

Best-next-move puzzles in an undisclosed game variant. A narrow reasoning test, not general intelligence.

DeepSeek-R1-Distill-Qwen-32B Not available

Advanced mathematics

FrontierMath Tiers 1-3 · 25%

Private v2 mathematics problems with Python tools. Earlier versions and Tier 4 are excluded.

DeepSeek-R1-Distill-Qwen-32B Not available

Factual answers

SimpleQA Verified · 25%

Correct factual answers under a guessing prompt, graded by a model. Not a hallucination or abstention score.

DeepSeek-R1-Distill-Qwen-32B Not available

Competition mathematics

OTIS Mock AIME 2024-2025 · Separate result

Competition problems with model-extracted answers checked against an exact key. Earlier grading procedures are excluded.

DeepSeek-R1-Distill-Qwen-32B 55.6*% Approx. 95% interval: 43.4–67.7%

Bars show reported task scores. Whiskers are approximate 95% intervals where standard errors are available. Different reasoning budgets are not equal-cost tests. Missing results are never zero.

Run it locally

Inference · memory estimate

DeepSeek-R1-Distill-Qwen-32B

32.76 B total parameters · qwen2 · BF16

Published checkpoint tensor payload: 61.0 GiB. This includes stored copies and buffers; it is separate from the runtime estimates below.

Estimated accelerator memory19.5 GiB
Weights
16.8 GiB
KV cache
1.0 GiB
Runtime allowance
1.7 GiB

One user, full model in accelerator memory.

GPUs with memory headroom

Local AI systems with memory headroom

Shared-memory systems use a planning budget of 75% of installed memory, leaving 25% for the OS and other allocations. This is an assumption, not a measured GPU allocation. Firmware and driver limits may be lower and may require configuration. Memory matches do not verify a runtime, quantized model artifact or inference speed.

Includes FP16 KV cache, prompt plus generated tokens, quantization metadata and a runtime allowance. GPU matches reserve 10% of VRAM. Memory fit is not a speed or software-compatibility guarantee; quantized weights and runtime support must be available. Cache uses a conservative full-attention upper bound.

Capabilities

Context window
131,072 tokens
Maximum output
32,768 tokens
Reasoning
Yes
Tool calling
No
Open weights
Yes
Model license
mit
Total parameters
32.76 B
Checkpoint tensor payload
61.03 GiB

Input modalities

  • text

Output modalities

  • text

Processing & platform

Architecture
qwen2

* Provisional data