DeepSeek: DeepSeek V3

deepseek/deepseek-chat

Modalities: text->text
In / out price: $0.32 / $0.89
Context: 164K
Released: Dec 26, 2024
Knowledge cutoff: 2024-07-31

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...

ToolsStructured outputLong context

Supported parameters

frequency_penalty
Frequency penalty
Lowers the chance of a token in proportion to how often it already appeared.
logit_bias
Logit bias
Add or subtract from token ids to encourage or ban them.
max_tokens
Max tokens
Upper bound on generated tokens. Output stops at the limit.
min_p
Min-p
Drops tokens below this probability threshold.
presence_penalty
Presence penalty
Lowers the chance of any token that has already appeared.
repetition_penalty
Repetition penalty
Penalizes text that already appeared. Common on open models.
response_format
Response format
For example json_object or json_schema, to constrain the shape.
seed
Seed
A fixed seed helps reproduce sampling. It does not guarantee byte-identical output.
stop
Stop
Stop when these strings are produced. A string or an array of strings.
structured_outputs
Structured outputs
Generate a parseable structure that follows a JSON Schema.
temperature
Temperature
Sampling temperature. Lower is steadier, higher is more varied. Often 0 to 2.
tool_choice
Tool choice
Whether to call a tool: auto, none, or a named function.
tools
Tools
Function definitions the model may call via tool_calls.
top_k
Top-K
Sample only from the K most likely tokens.
top_p
Top-p
Sample only from tokens whose cumulative probability reaches top_p.

Models DeepSeek

DeepSeek: DeepSeek V3

deepseek/deepseek-chat

Try this model

Modalities: text->text
In / out price: $0.32 / $0.89
Context: 164K
Released: Dec 26, 2024
Knowledge cutoff: 2024-07-31

ToolsStructured outputLong context

Supported parameters

frequency_penalty
Frequency penalty
Lowers the chance of a token in proportion to how often it already appeared.
logit_bias
Logit bias
Add or subtract from token ids to encourage or ban them.
max_tokens
Max tokens
Upper bound on generated tokens. Output stops at the limit.
min_p
Min-p
Drops tokens below this probability threshold.
presence_penalty
Presence penalty
Lowers the chance of any token that has already appeared.
repetition_penalty
Repetition penalty
Penalizes text that already appeared. Common on open models.
response_format
Response format
For example json_object or json_schema, to constrain the shape.
seed
Seed
A fixed seed helps reproduce sampling. It does not guarantee byte-identical output.
stop
Stop
Stop when these strings are produced. A string or an array of strings.
structured_outputs
Structured outputs
Generate a parseable structure that follows a JSON Schema.
temperature
Temperature
Sampling temperature. Lower is steadier, higher is more varied. Often 0 to 2.
tool_choice
Tool choice
Whether to call a tool: auto, none, or a named function.
tools
Tools
Function definitions the model may call via tool_calls.
top_k
Top-K
Sample only from the K most likely tokens.
top_p
Top-p
Sample only from tokens whose cumulative probability reaches top_p.