Model Comparison
Claude Haiku 4.5 vs DeepSeek-V3Which is better in 2026?
Claude Haiku 4.5 significantly outperforms across most benchmarks. DeepSeek-V3 is 4.2x cheaper per token.
Verdict: Claude Haiku 4.5 vs DeepSeek-V3 — which is better?
Claude Haiku 4.5 (by Anthropic) and DeepSeek-V3 (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.
Claude Haiku 4.5 outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while DeepSeek-V3 is better at 0 benchmarks. Claude Haiku 4.5 significantly outperforms across most benchmarks.
On price, DeepSeek-V3 is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 4.5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Haiku 4.5 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Oct 2025
Choose DeepSeek-V3 if…
- cost matters — it's about 4.2x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Haiku 4.5 outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while DeepSeek-V3 is better at 0 benchmarks.
Claude Haiku 4.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 3.7x more expensive than DeepSeek-V3 ($0.27/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 4.5x more expensive than DeepSeek-V3 ($1.10/1M tokens).
In conclusion, Claude Haiku 4.5 is more expensive than DeepSeek-V3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 4.5 accepts 200,000 input tokens compared to DeepSeek-V3's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Haiku 4.5 supports multimodal inputs, whereas DeepSeek-V3 does not.
Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 4.5
DeepSeek-V3
License
Usage and distribution terms
Claude Haiku 4.5 is licensed under a proprietary license, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT + Model License (Commercial use allowed)
Open weights
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while DeepSeek-V3 was released on 2024-12-25.
Claude Haiku 4.5 is 10 months newer than DeepSeek-V3.
Oct 15, 2025
7 months ago
9mo newerDec 25, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while DeepSeek-V3's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without DeepSeek-V3's cutoff date.
Feb 2025
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Provider Availability
Claude Haiku 4.5 is available from Anthropic, Vertex AI. DeepSeek-V3 is available from DeepSeek.
Claude Haiku 4.5
DeepSeek-V3
Outputs Comparison
Key Takeaways
Claude Haiku 4.5
View detailsAnthropic
DeepSeek-V3
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about Claude Haiku 4.5 vs DeepSeek-V3.