Model Comparison
DeepSeek-V2.5 vs GPT-5.6 LunaWhich is better in 2026?
Comparing DeepSeek-V2.5 and GPT-5.6 Luna across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V2.5 vs GPT-5.6 Luna — which is better?
DeepSeek-V2.5 (by DeepSeek) and GPT-5.6 Luna (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, DeepSeek-V2.5 is roughly 12.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V2.5 if…
- cost matters — it's about 12.9x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-5.6 Luna if…
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 and GPT-5.6 Lunadon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 7.1x cheaper than GPT-5.6 Luna ($1.00/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 21.4x cheaper than GPT-5.6 Luna ($6.00/1M tokens).
In conclusion, GPT-5.6 Luna is more expensive than DeepSeek-V2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Luna accepts 1,050,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.6 Luna supports multimodal inputs, whereas DeepSeek-V2.5 does not.
GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V2.5
GPT-5.6 Luna
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while GPT-5.6 Luna uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while GPT-5.6 Luna was released on 2026-07-09.
GPT-5.6 Luna is 26 months newer than DeepSeek-V2.5.
May 8, 2024
2.2 years ago
Jul 9, 2026
1 weeks ago
2.2yr newerKnowledge Cutoff
When training data ends
GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while DeepSeek-V2.5's cutoff date is not specified.
We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.
—
Feb 2026
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. GPT-5.6 Luna is available from OpenAI.
DeepSeek-V2.5
GPT-5.6 Luna
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
GPT-5.6 Luna
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V2.5 and GPT-5.6 Luna side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V2.5 vs GPT-5.6 Luna.