Model Comparison
DeepSeek-V2.5 vs o3-miniWhich is better in 2026?
o3-mini significantly outperforms across most benchmarks. DeepSeek-V2.5 is 11.0x cheaper per token.
Verdict: DeepSeek-V2.5 vs o3-mini — which is better?
DeepSeek-V2.5 (by DeepSeek) and o3-mini (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.
DeepSeek-V2.5 outperforms in 0 benchmarks, while o3-mini is better at 3 benchmarks (MATH, MMLU, SWE-Bench Verified). o3-mini significantly outperforms across most benchmarks.
On price, DeepSeek-V2.5 is roughly 11.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o3-mini also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V2.5 if…
- cost matters — it's about 11.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose o3-mini if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Jan 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 0 benchmarks, while o3-mini is better at 3 benchmarks (MATH, MMLU, SWE-Bench Verified).
o3-mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 7.9x cheaper than o3-mini ($1.10/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 15.7x cheaper than o3-mini ($4.40/1M tokens).
In conclusion, o3-mini 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
o3-mini accepts 200,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. o3-mini can generate longer responses up to 100,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while o3-mini 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 o3-mini was released on 2025-01-30.
o3-mini is 9 months newer than DeepSeek-V2.5.
May 8, 2024
2.1 years ago
Jan 30, 2025
1.4 years ago
8mo newerKnowledge Cutoff
When training data ends
o3-mini has a documented knowledge cutoff of 2023-09-30, while DeepSeek-V2.5's cutoff date is not specified.
We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.
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Sep 2023
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. o3-mini is available from Azure, OpenAI.
DeepSeek-V2.5
o3-mini
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
o3-mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek-V2.5 vs o3-mini.