Skip to main content
idapt
HomeAI ModelsPricing
Sign inStart free

GPT 5.6 Luna vs DeepSeek R1 (0528)

At a glance
OpenAIGPT 5.6 Luna

OpenAI's fastest, most affordable GPT-5.6 tier for high-volume, latency-sensitive work.

1.1M ctx$1.00/$6.00 per M
DeepSeekDeepSeek R1 (0528)

Updated DeepSeek R1 with performance on par with OpenAI o1.

75164K ctx$0.50/$2.15 per M#44/92
AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
OpenAIGPT 5.6 Luna
Reasoning
CodingInsufficient data
MathInsufficient data
Sources:Provider·OpenRouter· as of 2026-07-11
Capability
Capability—
Reasoning & Knowledge
Graduate Science92.3%Factual Recall—
Math
Math Problems—Competition Math—
Coding
Code Editing—
Agentic
Terminal Tasks84.7%Novel Reasoning—Task Horizon—
DeepSeekDeepSeek R1 (0528)
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Cheaper
Capability
CapabilityECI74.5
Reasoning & Knowledge
Graduate Science76.3%Factual Recall27.4%
Math
Math Problems96.6%Competition Math66.4%
Coding
Code Editing71.4%
Agentic
Terminal Tasks—Novel Reasoning1.1%Task Horizon31min
Specs
OpenAIGPT 5.6 Luna
1.1M
Context
128K
Max output
Jul 2026
Released
DeepSeekDeepSeek R1 (0528)
164K
Context
33K
Max output
May 2025
Released
Capabilities
OpenAIGPT 5.6 Luna
Vision
Audio
Reasoning
DeepSeekDeepSeek R1 (0528)
Vision
Audio
Reasoning
Pricing
OpenAIGPT 5.6 Luna
Live pricing, shown before you run
Input$1.00/M tokens
Output$6.00/M tokens
Cache read$0.10/M tokens
Web search$0.01/search
DeepSeekDeepSeek R1 (0528)
Live pricing, shown before you run
Input$0.50/M tokens
Output$2.15/M tokens
Cache read$0.35/M tokens
Chat with GPT 5.6 LunaGo to model
Chat with DeepSeek R1 (0528)Go to model
Frequently Asked Questions: GPT 5.6 Luna vs DeepSeek R1 (0528)▼

Which is better, GPT 5.6 Luna or DeepSeek R1 (0528)?

▼

Both GPT 5.6 Luna and DeepSeek R1 (0528) are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, GPT 5.6 Luna or DeepSeek R1 (0528)?

▼

DeepSeek R1 (0528) has a lower blended cost. GPT 5.6 Luna: $1.00 input / $6.00 output. DeepSeek R1 (0528): $0.50 input / $2.15 output.

Which has a larger context window, GPT 5.6 Luna or DeepSeek R1 (0528)?

▼

GPT 5.6 Luna has a larger context window: GPT 5.6 Luna supports 1.1M tokens vs DeepSeek R1 (0528) at 164K tokens.

Do both GPT 5.6 Luna and DeepSeek R1 (0528) support vision?

▼

GPT 5.6 Luna supports vision/image input, but DeepSeek R1 (0528) does not.

What are the key differences between GPT 5.6 Luna and DeepSeek R1 (0528)?

▼

Key differences: only GPT 5.6 Luna supports vision input. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both GPT 5.6 Luna and DeepSeek R1 (0528) for free on idapt.app to see which performs better for your specific needs.

Open in App
  • Home
  • Pricing
  • AI Models
  • Image models
  • Voice models
  • Video models
  • Rankings
  • New models
  • Model status
  • Multi-Model Chat
  • Voice Mode
  • Voice HUD
  • Web Search
  • Image Generation
  • Video Generation
  • Audio Generation
  • Transcription
  • Drive
  • Secrets
  • Sharing
  • Workspaces
  • Tasks
  • Memory
  • Agents
  • Subagents
  • Automations
  • Skills
  • Code Execution
  • Computers
  • Computer Use
  • Cloud Computers
  • Local AI
  • AI Gateway
  • API & SDK
  • CLI
  • MCP
  • Tunnels
  • All features →
  • Blog
  • Use cases
  • Comparisons
  • Best of
  • Learn
  • Free tools
  • Prompts
  • Templates
  • Changelog
  • Help center
  • FAQ
  • Privacy
  • Compare all models
  • Support
  • Developers
  • Quickstarts
  • API reference
  • API pricing
  • CLI
  • MCP
  • Downloads
  • Desktop
  • Badges and embeds
© idapt[email protected]TermsPrivacy PolicyLegal noticeReport content
X (Twitter)