Model Comparison
DeepSeek-V2.5 vs Claude 3 HaikuWhich is better in 2026?
DeepSeek-V2.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 is 2.9x cheaper per token.
Verdict: DeepSeek-V2.5 vs Claude 3 Haiku — which is better?
DeepSeek-V2.5 (by DeepSeek) and Claude 3 Haiku (by Anthropic) 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 4 benchmarks (GSM8k, HumanEval, MATH, MMLU), while Claude 3 Haiku is better at 0 benchmarks. DeepSeek-V2.5 significantly outperforms across most benchmarks.
On price, DeepSeek-V2.5 is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3 Haiku 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…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 2.9x 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
Choose Claude 3 Haiku if…
- you process long inputs — it offers a 200,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 4 benchmarks (GSM8k, HumanEval, MATH, MMLU), while Claude 3 Haiku is better at 0 benchmarks.
DeepSeek-V2.5 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 1.8x cheaper than Claude 3 Haiku ($0.25/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 4.5x cheaper than Claude 3 Haiku ($1.25/1M tokens).
In conclusion, Claude 3 Haiku 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
Claude 3 Haiku accepts 200,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Claude 3 Haiku supports multimodal inputs, whereas DeepSeek-V2.5 does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V2.5
Claude 3 Haiku
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while Claude 3 Haiku 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 Claude 3 Haiku was released on 2024-03-13.
DeepSeek-V2.5 is 2 months newer than Claude 3 Haiku.
May 8, 2024
2.1 years ago
1mo newerMar 13, 2024
2.3 years ago
Knowledge 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. Claude 3 Haiku is available from Anthropic, Bedrock, Google.
DeepSeek-V2.5
Claude 3 Haiku
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
Claude 3 Haiku
View detailsAnthropic
Detailed Comparison
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FAQ
Common questions about DeepSeek-V2.5 vs Claude 3 Haiku.