Claude 3 Haiku vs DeepSeek-V3
DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is 1.0x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude 3 Haiku outperforms in 0 benchmarks, while DeepSeek-V3 is better at 3 benchmarks (DROP, GPQA, MMLU). DeepSeek-V3 significantly outperforms across most benchmarks.
Claude 3 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Claude 3 Haiku
- you process long inputs — it offers a 200,000 token context window
Choose DeepSeek-V3
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Dec 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3 Haiku outperforms in 0 benchmarks, while DeepSeek-V3 is better at 3 benchmarks (DROP, GPQA, MMLU).
DeepSeek-V3 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 1.1x cheaper than DeepSeek-V3 ($0.27/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 1.1x more expensive than DeepSeek-V3 ($1.10/1M tokens).
In conclusion, Claude 3 Haiku 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 3 Haiku accepts 200,000 input tokens compared to DeepSeek-V3's 131,072 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while DeepSeek-V3 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Claude 3 Haiku supports multimodal inputs, whereas DeepSeek-V3 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
License
Usage and distribution terms
Claude 3 Haiku 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 3 Haiku was released on 2024-03-13, while DeepSeek-V3 was released on 2024-12-25.
DeepSeek-V3 is 10 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Dec 25, 2024
1.7 years ago
9mo 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 is available from DeepSeek.
Claude 3 Haiku
DeepSeek-V3
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and DeepSeek-V3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs DeepSeek-V3.