Model Comparison
Claude 3 Haiku vs DeepSeek-V3.1Which is better in 2026?
DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is 1.1x cheaper per token.
Verdict: Claude 3 Haiku vs DeepSeek-V3.1 — which is better?
Claude 3 Haiku (by Anthropic) and DeepSeek-V3.1 (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 3 Haiku outperforms in 0 benchmarks, while DeepSeek-V3.1 is better at 1 benchmark (GPQA). DeepSeek-V3.1 significantly outperforms across most benchmarks.
On price, DeepSeek-V3.1 is roughly 1.1x 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 Claude 3 Haiku if…
- you process long inputs — it offers a 200,000 token context window
Choose DeepSeek-V3.1 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.1x cheaper per token
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3 Haiku outperforms in 0 benchmarks, while DeepSeek-V3.1 is better at 1 benchmark (GPQA).
DeepSeek-V3.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 1.1x cheaper than DeepSeek-V3.1 ($0.27/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 1.3x more expensive than DeepSeek-V3.1 ($1.00/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than DeepSeek-V3.1.*
* 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-V3.1's 163,840 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while DeepSeek-V3.1 is limited to 163,840 tokens.
Input Capabilities
Supported data types and modalities
Claude 3 Haiku supports multimodal inputs, whereas DeepSeek-V3.1 does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
DeepSeek-V3.1
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while DeepSeek-V3.1 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while DeepSeek-V3.1 was released on 2025-01-10.
DeepSeek-V3.1 is 10 months newer than Claude 3 Haiku.
Mar 13, 2024
2.3 years ago
Jan 10, 2025
1.5 years ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. DeepSeek-V3.1 is available from DeepInfra, Novita.
Claude 3 Haiku
DeepSeek-V3.1
Outputs Comparison
Key Takeaways
Claude 3 Haiku
View detailsAnthropic
DeepSeek-V3.1
View detailsDeepSeek
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Claude 3 Haiku and DeepSeek-V3.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Claude 3 Haiku vs DeepSeek-V3.1.