DeepSeek-V3
Frontier
Open-weights frontier model that matched GPT-4-class quality at a fraction of the inference cost. Sparked the late-2024 cost reset.
DeepSeek-V3 is a frontier AI model from DeepSeek. It costs $0.270 per million input tokens and $1.100 per million output tokens (blended $0.519/M), with a 64,000-token context window.
INPUT
$0.270/M
per million input tokens
OUTPUT
$1.100/M
per million output tokens
BLENDED 70/30
$0.519/M
+12.5%over 91 days · hover to read
CONTEXT
64,000
tokens
What it is good at
- Frontier quality, open weights
- Aggressive pricing
- Strong code & math
- MoE architecture
Typical use cases
- Self-hosted frontier inference
- Cost-sensitive chat
- Code generation
Benchmarks
vs. best public score
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.
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DeepSeek-V3-0324
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in $0.270/Mout $1.100/M
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in $0.550/Mout $2.190/M
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in $0.550/Mout $2.190/M
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in $0.350/Mout $0.880/M
Frequently asked questions
How much does DeepSeek-V3 cost?
DeepSeek-V3 costs $0.270 per million input tokens and $1.100 per million output tokens, for a blended reference rate of $0.519 per million tokens.
What is DeepSeek-V3's context window?
DeepSeek-V3 supports up to 64,000 tokens of context in a single request.
What is DeepSeek-V3 best for?
DeepSeek-V3 is well suited to Frontier quality, open weights, Aggressive pricing and Strong code & math.
Who makes DeepSeek-V3?
DeepSeek-V3 is developed and served by DeepSeek.