Claude 3 Haiku vs DeepSeek-V3 0324
DeepSeek-V3 0324 leads the LLM Stats Score 13.4 to -1.5. DeepSeek-V3 0324 is 1.2x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
DeepSeek-V3 0324 leads the overall LLM Stats Score 13.4 to -1.5, ranking #245 overall.
In the 1 individual benchmarks reported for both models, DeepSeek-V3 0324 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V3 0324 is roughly 1.2x 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.
Based on current LLM Stats indexes, shared benchmarks, 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 0324
- overall performance matters — it scores 13.4 and ranks #245 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.2x cheaper per token
- you want the most recent training data — it shipped Mar 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
10 reported for Claude 3 Haiku · 5 for DeepSeek-V3 0324
Claude 3 Haiku outperforms in 0 benchmarks, while DeepSeek-V3 0324 is better at 1 benchmark (GPQA).
DeepSeek-V3 0324 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 1.0x more expensive than DeepSeek-V3 0324 ($0.24/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 1.4x more expensive than DeepSeek-V3 0324 ($0.90/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than DeepSeek-V3 0324.*
* 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 0324's 163,840 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while DeepSeek-V3 0324 is limited to 163,840 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3 Haiku supports multimodal inputs, whereas DeepSeek-V3 0324 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 0324
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while DeepSeek-V3 0324 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 0324 was released on 2025-03-25.
DeepSeek-V3 0324 is 13 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Mar 25, 2025
1.5 years ago
1.0yr 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 0324 is available from DeepInfra, Novita.
Claude 3 Haiku
DeepSeek-V3 0324
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and DeepSeek-V3 0324 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs DeepSeek-V3 0324.