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DeepSeek

DeepSeek V3

Benchmarks, price, context and versions

Also searched as

DeepSeek-V3

Direct answer: DeepSeek V3 is a model from DeepSeek. 56.5% on GPQA Diamond, per Epoch AI. On OpenRouter, US$ 0.32 per 1 million input tokens and US$ 0.89 per 1 million output tokens.

✓ Good for

  • running on your own infrastructure (open weights)

✕ Not the best for

  • technical reasoning on science topics (#128 of 198 on GPQA Diamond)
  • calculation and problems with an exact answer (#143 of 186 on OTIS Mock AIME)
  • technical reasoning as the model appears through the API (#107 of 135 on GPQA Diamond (OpenRouter))
  • agents that follow rules and use tools (#123 of 131 on τ-bench Verified (airline))

This block follows a rule of this section, using source data: if the model is in the top 25% of the metric, the item goes under "Good for"; if it is in the bottom half, it goes under "Not the best for". The middle band appears in neither. Price and context use OpenRouter; scores use Epoch AI or OpenRouter Benchmarks, in the latest version we checked.

Benchmarks

GPQA Diamond

?what it is
56.5%

highest score on this metric 96.4%

128º / 198 · Epoch AI, latest version we checked

OTIS Mock AIME

?
15.8%

highest score on this metric 100%

143º / 186 · Epoch AI, latest version we checked

GPQA Diamond (OpenRouter)

?
66.9%

highest score on this metric 96.5%

107º / 135 · OpenRouter Benchmarks, latest version we checked

τ-bench Verified (airline)

?
43%

highest score on this metric 82%

123º / 131 · OpenRouter Benchmarks, latest version we checked

Key specs

Origin
China
Family
DeepSeek provisional data
Weights?
open
License
no data
Input US$/1M?
US$ 0.32
Output US$/1M
US$ 0.89
Context?
163,840 tokens
Parameters
684,489,845,504
Input
text
OpenRouter usage?
no data
Downloads (30 days)?
1,486,147
Use cases provisional data
Text Agents
Dates in sources
  • 2024, published, per Epoch AI
  • 2024, listed on OpenRouter
  • 2024, Hugging Face repo created

Version history

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.

FAQ

What is DeepSeek V3?

DeepSeek V3 is a model from DeepSeek, with open weights, used for text, agents.

How much does DeepSeek V3 cost?

On OpenRouter, US$ 0.32 per 1 million input tokens and US$ 0.89 per 1 million output tokens.

What is the context window of DeepSeek V3?

163,840 tokens, per OpenRouter.

Is DeepSeek V3 open source?

Yes, it has open weights. License: no data.

What is DeepSeek V3's GPQA Diamond score?

56.5% on GPQA Diamond, per Epoch AI.

Is DeepSeek V3 good for coding?

No data: there is no SWE-bench Verified measurement for it in open sources.

Who made DeepSeek V3?

It was made by DeepSeek, a lab from China.

provisional data Questions under review: Semrush had no API balance during collection. Answers use source data only.

Models from DeepSeek

See lab

Sources

  • Epoch AI, CC BY 4.0, latest version we checked.
  • Hugging Face Hub, metadados públicos do Hub; licença de cada modelo no repositório, latest version we checked.
  • OpenRouter, dados públicos da API; exports de benchmarks e rankings em CC BY 4.0, latest version we checked.
  • OpenRouter Benchmarks, CC BY 4.0, latest version we checked.

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.