DeepSeek-V2.5 vs GPT-4o
DeepSeek-V2.5 and GPT-4o are closely matched at 8.4 and 14.4 on the LLM Stats Score. DeepSeek-V2.5 is 25.0x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V2.5 and GPT-4o are closely matched on the overall LLM Stats Score at 8.4 and 14.4.
In the 2 individual benchmarks reported for both models, GPT-4o wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V2.5 is roughly 25.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4o also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V2.5
- cost matters — it's about 25.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-4o
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Aug 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for DeepSeek-V2.5 · 38 for GPT-4o
DeepSeek-V2.5 outperforms in 0 benchmarks, while GPT-4o is better at 2 benchmarks (MMLU, SWE-Bench Verified).
GPT-4o significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 17.9x cheaper than GPT-4o ($2.50/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 35.7x cheaper than GPT-4o ($10.00/1M tokens).
In conclusion, GPT-4o 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-4o accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. GPT-4o can generate longer responses up to 16,384 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o supports multimodal inputs, whereas DeepSeek-V2.5 does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V2.5
GPT-4o
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while GPT-4o 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-4o was released on 2024-08-06.
GPT-4o is 3 months newer than DeepSeek-V2.5.
May 8, 2024
2.3 years ago
Aug 6, 2024
2.1 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. GPT-4o is available from Azure, OpenAI.
DeepSeek-V2.5
GPT-4o
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V2.5 and GPT-4o side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V2.5 vs GPT-4o.