Mistral: Mistral Medium 3
mistralai-medium-3
Mistral Medium 3 costs $0.520 per million input tokens and $2.60 per million output tokens, supports 131K context, and is available through the OpenAI-compatible API.
Mistral Medium 3 delivers frontier performance while being an order of magnitude less expensive. For instance, the model performs at or above 90% of Claude Sonnet 3.7 on benchmarks across the board at a significantly lower cost. On performance, Mistral Medium 3 also surpasses leading open models such as Llama 4 Maverick and enterprise models such as Command A. On pricing, the model beats cost leaders such as DeepSeek v3, both in API and self-deployed systems.
Modalities
Text + Image → Text
Input / output price
$0.520 / $2.60 per 1M
Context
131K · max output 33K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $0.520 |
| Output | $2.60 |
| Cached input | $0.260 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00364
- Per day
- $1.82
- Per month (30 days)
- $54.60
Mistral Medium 3: input $0.52/M · output $2.6/M · cached input $0.26/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "mistralai-medium-3", "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 mistralai-medium-3.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai-medium-3",
"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_penaltyseedFAQ
- How is Mistral Medium 3 billed?
- Input is $0.520 and output is $2.60 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?
- 131K 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.