DeepSeek R2: The 32B Reasoning Model That Runs on a Single GPU
DeepSeek R2 dropped in April 2026 — a 32B dense transformer that scores 92.7% on AIME 2025, runs on a single RTX 4090, and costs ~70% less than GPT-5 for reasoning tasks.
Key Specs
| Property | DeepSeek R1 (Jan 2025) | DeepSeek R2 (Apr 2026) |
|---|---|---|
| Architecture | 671B MoE (37B active) | 32B dense |
| License | MIT | MIT |
| AIME 2025 | ~74% | 92.7% |
| Min hardware | 8× H100 cluster | 1× RTX 4090 (24 GB) |
| Cost vs frontier | ~25× cheaper | ~70% cheaper than GPT-5 |
Quick Start with OpenAI SDK
from openai import OpenAI
# Access DeepSeek R2 + 300 other models with one key
client = OpenAI(
api_key="your-crazyrouter-key",
base_url="https://crazyrouter.com/v1"
)
response = client.chat.completions.create(
model="deepseek-reasoner",
messages=[
{"role": "user", "content": "Prove there are infinitely many primes of the form 4k+3."}
]
)
print(response.choices[0].message.content)
Benchmark Comparison
| Model | AIME 2025 | Cost (per 1M output) |
|---|---|---|
| DeepSeek R2 | 92.7% | ~$0.50 |
| GPT-5 | 93.1% | $10.00 |
| Claude 4.6 Opus | 91.8% | $15.00 |
| OpenAI o3 | 96.7% | $12.00 |
R2 is within striking distance of GPT-5 at 1/20th the price.
Self-Hosting
# With Ollama
ollama pull deepseek-r2
# With vLLM
python -m vllm.entrypoints.openai.api_server \
--model deepseek-ai/DeepSeek-R2 \
--tensor-parallel-size 1
Why Use an API Gateway
With models fragmenting across providers, an API gateway like Crazyrouter lets you access DeepSeek R2 + GPT-5 + Claude + 300 more models through one API key, with automatic failover and lower pricing.
Full guide: https://crazyrouter.com/en/blog/deepseek-r2-reasoning-model-guide