Mistral: Mistral Small 3.1 24B

mistralai/mistral-small-3.1-24b-instruct

Modalities: text+image->text
In / out price: $0.351 / $0.555
Context: 128K
Released: Mar 17, 2025
Knowledge cutoff: 2023-10-31

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...

VisionToolsStructured 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.
logprobs
Logprobs
Return the log probability of each output token.
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.
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.Default 0.3
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_logprobs
Top logprobs
Also return the most likely alternatives at each position.
top_p
Top-p
Sample only from tokens whose cumulative probability reaches top_p.

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.

logprobs

Logprobs

Return the log probability of each output token.

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.

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.Default 0.3

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_logprobs

Top logprobs

Also return the most likely alternatives at each position.

top_p

Top-p

Sample only from tokens whose cumulative probability reaches top_p.