Mistral: Mistral Medium 3.5
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.
Mistral AIMistral Medium 3.5
mistralai/mistral-medium-3-5Coding index
46.9
Artificial Analysis
Agentic index
7
Artificial Analysis
Input
$1.50
per 1M tokens
Output
$7.50
per 1M tokens
Context
262K
tokens it reads
Max output
210K
tokens it writes
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
inspect — the catalog entry
{
"id": "mistralai/mistral-medium-3-5",
"canonical_slug": "mistralai/mistral-medium-3.5-20260430",
"hugging_face_id": null,
"name": "Mistral: Mistral Medium 3.5",
"created": 1777570439,
"description": "Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...",
"context_length": 262144,
"architecture": {
"modality": "text+image+file->text",
"input_modalities": [
"text",
"image",
"file"
],
"output_modalities": [
"text"
],
"tokenizer": "Mistral",
"instruct_type": null
},
"pricing": {
"prompt": "0.0000015",
"completion": "0.0000075"
},
"top_provider": {
"context_length": 262144,
"max_completion_tokens": 209715,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"frequency_penalty",
"include_reasoning",
"max_tokens",
"presence_penalty",
"reasoning",
"reasoning_effort",
"response_format",
"seed",
"stop",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_p"
],
"default_parameters": {
"temperature": null,
"top_p": null,
"top_k": null,
"frequency_penalty": null,
"presence_penalty": null,
"repetition_penalty": null
},
"supported_voices": null,
"knowledge_cutoff": null,
"expiration_date": null,
"links": {
"details": "/api/v1/models/mistralai/mistral-medium-3.5-20260430/endpoints"
},
"endpoints": [
"/api/v1/chat/completions",
"/api/v1/completions",
"/api/v1/messages",
"/api/v1/responses"
],
"benchmarks": {
"design_arena": [],
"artificial_analysis": {
"intelligence_index": null,
"coding_index": 46.9,
"agentic_index": 7
}
},
"reasoning": {
"mandatory": false,
"supported_efforts": [
"high",
"none"
],
"default_effort": "high"
}
}References (1)
- Stored model catalog — Nov 5, 2026