ModelsAtlas
Explore
Home/Compare/DeepSeek R1 vs GPT-4o
Swap ModelsNew Comparison

R1 vs GPT-4o

DeepSeek R1 for technical reasoning tasks, GPT-4o for general-purpose multimodal production use.

Pricing source: live OpenRouter model catalog (`/api/v1/models`).

Model A

R1

DeepSeek • text->text
Context Window64K
Knowledge CutoffJan 20, 2025
Open model page
Model B

GPT-4o

OpenAI • text+image+file->text
Context Window128K
Knowledge CutoffMay 13, 2024
Open model page

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.

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.

MetricR1GPT-4oWinner
Input (per 1M tokens)$0.70$2.50🏆 R1
Output (per 1M tokens)$2.50$10.00🏆 R1
Request feeN/AN/AN/A
Image feeN/AN/AN/A

Cost Estimator

Estimate monthly billing using real OpenRouter prices.

R1 Total

$62

GPT-4o Total

$237.5
Estimated Monthly Savings: $175.5 with R1

Capability Signals

Scores are directional estimates from model metadata — not official benchmark results.

R1MMLU Signal (Reasoning)GPT-4o
82%
69%
R1HumanEval Signal (Coding)GPT-4o
71%
76%
R1Agentic Tooling SignalGPT-4o
79%
84%
R1Multimodal SignalGPT-4o
64%
78%

Capabilities Matrix

Feature highlights for architecture and production fit.

R1 Strengths

  • Strong tool-calling and structured response support.
  • Balanced general-purpose profile for chat, extraction, and automation tasks.

GPT-4o Strengths

  • Supports image inputs for multimodal analysis workflows.
  • Strong tool-calling and structured response support.
  • 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 R1 when...

  • You rely on function calling, tool chaining, and structured output contracts.
  • 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...

  • Your application includes visual reasoning and image understanding tasks.
  • You rely on function calling, tool chaining, and structured output contracts.
  • You want a balanced default for mixed chat and workflow automation workloads.

Frequently Asked Questions

Practical checks before selecting a production model.

Is DeepSeek R1 better than GPT-4o?

It depends on the workload. DeepSeek R1 and GPT-4o differ in pricing, context window, and capability mix — see the side-by-side table above for the breakdown.

What's the price difference between DeepSeek R1 and GPT-4o?

DeepSeek R1: $0.70 per 1M input tokens. GPT-4o: $2.50 per 1M input tokens. Output token pricing typically runs 2-5x higher.

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

Explore adjacent model matchups.

GPT-4o vs Claude 3.7 SonnetGPT-4o for multimodal breadth, Claude 3.7 for coding-heavy workflows.GPT-4o vs Claude 3 OpusClaude 3 Opus for highest reasoning quality, GPT-4o for production ecosystem and speed.GPT-4o vs Gemini 2.0 FlashGemini 2.0 Flash for cost efficiency and 1M context, GPT-4o for mature tool ecosystem.Claude 3.7 Sonnet vs Claude 3 OpusClaude 3 Opus for maximum capability on complex tasks, Claude 3.7 Sonnet for best price-to-performance in Claude family.
Advertisement