Model Comparison
GPT-4 Turbo vs DeepSeek-V2.5Which is better in 2026?
DeepSeek-V2.5 shows notably better performance in the majority of benchmarks. DeepSeek-V2.5 is 85.7x cheaper per token.
Verdict: GPT-4 Turbo vs DeepSeek-V2.5 — which is better?
GPT-4 Turbo (by OpenAI) and DeepSeek-V2.5 (by DeepSeek) 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.
GPT-4 Turbo outperforms in 1 benchmarks (MMLU), while DeepSeek-V2.5 is better at 2 benchmarks (HumanEval, MATH). DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.
On price, DeepSeek-V2.5 is roughly 85.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4 Turbo also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4 Turbo if…
- you process long inputs — it offers a 128,000 token context window
Choose DeepSeek-V2.5 if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- cost matters — it's about 85.7x cheaper per token
- you want the most recent training data — it shipped May 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo outperforms in 1 benchmarks (MMLU), while DeepSeek-V2.5 is better at 2 benchmarks (HumanEval, MATH).
DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 Turbo ($10.00/1M tokens) is 71.4x more expensive than DeepSeek-V2.5 ($0.14/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 107.1x more expensive than DeepSeek-V2.5 ($0.28/1M tokens).
In conclusion, GPT-4 Turbo 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-4 Turbo accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. DeepSeek-V2.5 can generate longer responses up to 8,192 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
License
Usage and distribution terms
GPT-4 Turbo is licensed under a proprietary license, while DeepSeek-V2.5 uses deepseek.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
deepseek
Open weights
Release Timeline
When each model was launched
GPT-4 Turbo was released on 2024-04-09, while DeepSeek-V2.5 was released on 2024-05-08.
DeepSeek-V2.5 is 1 month newer than GPT-4 Turbo.
Apr 9, 2024
2.2 years ago
May 8, 2024
2.1 years ago
4w newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while DeepSeek-V2.5's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic.
GPT-4 Turbo
DeepSeek-V2.5
Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
DeepSeek-V2.5
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about GPT-4 Turbo vs DeepSeek-V2.5.