DeepSeek R1
DeepSeek • Reasoning
Context Window128K
Knowledge CutoffUnknown
DeepSeek R1 vs GPT-4o
DeepSeek R1 for technical reasoning tasks, GPT-4o for general-purpose multimodal production use.
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GPT-4o
OpenAI • Multimodal
Context Window128K
Knowledge CutoffUnknown
Editorial Verdict
DeepSeek R1 is a reasoning specialist; GPT-4o is a versatile general-purpose flagship.
DeepSeek R1 and GPT-4o are fundamentally different models — R1 is a reasoning specialist for hard problems; GPT-4o is a general-purpose multimodal model. For math, science, and hard reasoning tasks, DeepSeek R1 significantly outperforms GPT-4o. For general-purpose tasks, coding, multimodal, and production applications, GPT-4o wins. Choose based on your primary workload.
DeepSeek R1
- Significantly outperforms GPT-4o on math, science, and hard reasoning benchmarks
- Transparent reasoning chain visible in outputs
- Open weights for self-hosting with full data control
Best for: Math, competitive programming, and hard science reasoning tasks requiring peak performance
GPT-4o
- Versatile general-purpose model excelling across coding, writing, and multimodal tasks
- Mature production API with function calling, JSON mode, and enterprise support
- Multimodal capabilities across text, images, audio, and video in one model
Best for: General-purpose production applications, coding, and multimodal workflows
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | DeepSeek R1 | GPT-4o | Winner |
|---|---|---|---|
| Input (per 1M tokens) | Custom | Custom | N/A |
| Output (per 1M tokens) | Custom | Custom | N/A |
| Request fee | N/A | N/A | N/A |
| Image fee | N/A | N/A | N/A |
Cost Estimator
Estimate monthly billing using real OpenRouter prices.
DeepSeek R1 Total
VariableGPT-4o Total
VariableSavings unavailable (pricing not published for one model).
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
DeepSeek R1MMLU Signal (Reasoning)GPT-4o
76%
69%
DeepSeek R1HumanEval Signal (Coding)GPT-4o
69%
69%
DeepSeek R1Agentic Tooling SignalGPT-4o
69%
69%
DeepSeek R1Multimodal SignalGPT-4o
69%
69%
Capabilities Matrix
Feature highlights for architecture and production fit.
DeepSeek R1 Strengths
- Balanced general-purpose profile for chat, extraction, and automation tasks.
GPT-4o Strengths
- Balanced general-purpose profile for chat, extraction, and automation tasks.
API Implementation
Quick start snippets for each provider style.
DeepSeek (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="deepseek/deepseek-r1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)OpenAI (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="openai/gpt-4o",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Choose DeepSeek R1 when...
- You want a balanced default for mixed chat and workflow automation workloads.
- You can measure quality with your own benchmark and prompt set.
Choose GPT-4o when...
- You want a balanced default for mixed chat and workflow automation workloads.
- You can measure quality with your own benchmark and prompt set.
Frequently Asked Questions
Practical checks before selecting a production model.
Which model is better for coding?
Coding preference depends on your stack and tool-calling needs. Compare the coding signal row, test with your repository tasks, and validate latency in your target region.
Which model is cheaper at scale?
Input and output token pricing can diverge by workload profile. Use the estimator with your monthly request count and token mix to get a realistic cost difference.
Are these official benchmark numbers?
Pricing is live from OpenRouter. Benchmark rows are ModelsAtlas metadata-based signals and should be treated as directional guidance, not official leaderboard scores.
Related Comparisons
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