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Mistral: Devstral 2 123B

devstral-2-123b-instruct-2512

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Devstral 2 123B is a 123 billion parameter model from Mistral AI optimized for coding and development tasks. Features advanced reasoning capabilities for software engineering workflows.

Modalities

Text → Text

Input / output price

$0.520 / $1.82 per 1M

Context

262K · max output 66K

Capabilities

Long contextCodingOpen weights

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.520
Output$1.82
Cached input$0.260

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00302
Per day
$1.51
Per month (30 days)
$45.24

Devstral 2 123B: input $0.52/M · output $1.82/M · cached input $0.26/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "devstral-2-123b-instruct-2512", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to devstral-2-123b-instruct-2512.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "devstral-2-123b-instruct-2512",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is Devstral 2 123B billed?
Input is $0.520 and output is $1.82 per million tokens; cached input is $0.260. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
262K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.