Better than 61% of all models
Context
164K tokens (~82 books)
Input $/1M
$0.20
Output $/1M
$0.77
Type
text
License
Open Source
Benchmarks
2 tested
Data updated today
About
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...
Tested on 2 benchmarks with 55.1% average. Top scores: Chatbot Arena Elo — Overall (1394.6%), Aider polyglot (55.1%).
Looking for similar performance at lower cost?
Qwen2.5 Coder 7B Instruct scores 56.0 (102% as good) at $0.03/1M input · 85% cheaper
Qwen2.5 Coder 7B Instruct scores 56.0 (102% as good) at $0.03/1M input · 85% cheaper
Capabilities
coding
55.1
#52 globally
Benchmark Scores
Compare AllTested on 2 benchmarks · Ranked across 2 categories
Score Distribution (all 233 models)
0255075100
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codingCompare coding →
Aider polyglot
55.1—Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.
arenaCompare arena →
Chatbot Arena Elo — Overall
1395—Chatbot Arena overall Elo rating. Crowdsourced human preference ranking from blind head-to-head comparisons across all topics.
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Research
Documentation
Community
Source Code
BenchGecko API
deepseek-chat-v3-0324
Specifications
- Typetext
- Context164K tokens (~82 books)
- ReleasedMar 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.001
Available On
Categories
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Frequently Asked Questions
DeepSeek V3 0324 is an open-source text AI model by DeepSeek, released in March 2025. It has an average benchmark score of 55.1. Context window: 164K tokens.