Comparing the open-weight reasoning marvel against OpenAI's flagship chain-of-thought model. Analyze token economics, AIME/MATH benchmarks, reasoning token generation overhead, and enterprise privacy guarantees.
Calculate monthly expenses for complex mathematical proofs, competitive coding, and multi-step reasoning workflows.
Evaluating architecture specifications, benchmark rates, throughput latency, and pricing tiers.
| Dimension | DeepSeek-R1 | OpenAI o1 | Key Takeaway / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $0.55 | $15.00 | DeepSeek-R1 (27x cheaper) |
| Output Cost / 1M Tokens | $2.19 | $60.00 | DeepSeek-R1 (27.4x cheaper) |
| AIME 2024 Math (Pass@1) | 79.8% | 83.3% | OpenAI o1 (+3.5%) |
| MATH-500 Score | 97.3% | 96.4% | DeepSeek-R1 (+0.9%) |
| Codeforces Percentile | 96.3 percentile | 96.6 percentile | Tie (~96th percentile) |
| Chain-of-Thought Transparency | 100% visible ( |
Redacted / hidden tokens | DeepSeek-R1 |
| Tool / Function Calling | Supported via prompting / wrappers | Native tool calling in o1 (latest GA) | OpenAI o1 |
DeepSeek-R1 represents one of the most stunning milestones in artificial intelligence research. By utilizing Large-Scale Reinforcement Learning without relying on massive human preference datasets, DeepSeek achieved reasoning capabilities that essentially match OpenAI o1 on math (97.3% MATH-500) and coding (96.3 percentile Codeforces) at roughly 3.6% of the cost. At $0.55/M in and $2.19/M out, R1 makes heavy chain-of-thought generation commercially viable for production apps.
OpenAI o1 remains a pristine, enterprise-hardened proprietary platform. It holds a slight 3.5% edge on the hyper-competitive AIME 2024 math competition benchmark, boasts native Azure integration with strict HIPAA and zero-data-retention compliance, and offers a more polished tool-calling ecosystem. For Fortune 500 enterprises with strict data sovereignty mandates that forbid non-US cloud APIs, o1 is the enterprise standard; for every other engineering workload, DeepSeek-R1 delivers 98% of the power at a 96% discount.
Evaluating real monthly unit economics across practical engineering architectures.
Generating 5,000 algorithmic solutions requiring 10M reasoning tokens. DeepSeek-R1 runs for $21.90 versus OpenAI o1's $600.00.
Analyzing intricate multi-jurisdiction litigation binders. DeepSeek-R1's visible
Processing protected health information (PHI) requiring Microsoft Azure BAA and FedRAMP compliance guarantees.
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("DEEPSEEK_API_KEY"),
base_url="https://api.deepseek.com"
)
def solve_with_deepseek_r1(prompt: str):
"""Run DeepSeek-R1 and unpack internal chain-of-thought tokens."""
response = client.chat.completions.create(
model="deepseek-reasoner", # Native R1 model ID
messages=[{"role": "user", "content": prompt}],
max_tokens=8192
)
choice = response.choices[0].message
reasoning_content = getattr(choice, "reasoning_content", "")
final_content = choice.content
print(f"=== DeepSeek-R1 Reasoning Trace ({len(reasoning_content)} chars) ===")
print(reasoning_content[:500] + "...\n")
print("=== Final Answer ===")
return final_contentReal-world engineering trade-offs and hidden bill shock traps to watch out for.
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DeepSeek-R1 is roughly 27 times cheaper. It costs $0.55 per million input tokens and $2.19 per million output tokens, compared to OpenAI o1's $15.00 input and $60.00 output.
Yes. DeepSeek-R1 scores 79.8% on AIME 2024 and 97.3% on MATH-500, essentially matching OpenAI o1 (83.3% AIME, 96.4% MATH-500) and achieving 96.3 percentile on Codeforces.
With DeepSeek-R1, yes! The entire reasoning trace is accessible via the reasoning_content API field. OpenAI o1 encrypts and redacts its thinking tokens.
Yes. DeepSeek published the full 671B model weights on Hugging Face under the MIT license, as well as distilled versions (1.5B, 7B, 14B, 32B, 70B) based on Qwen and Llama architectures.
deepseek-chat uses DeepSeek-V3 (optimized for speed, coding, and conversational dialogue). deepseek-reasoner uses DeepSeek-R1 (which engages test-time chain-of-thought compute for complex math and logic).
OpenAI o1 is currently superior for US enterprise compliance, offering Azure deployment, SOC2 Type II certifications, and signed HIPAA Business Associate Agreements (BAAs).