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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...
At a glance
- Context window
- 262Ktokens
- Max output
- 210Ktokens
- Knowledge to
- —
- Released
- 2026
Capabilities
CapabilitiesReasoningVisionToolsStructured output
InputTextImageFile
OutputText
ReasoningSupportedhighnone
Benchmarks
- Intelligence index
- 15
- Coding index
- 47
- Agentic index
- 9
Source: Artificial Analysis · as of Sep 16, 2026
Performance
Reference uptime
100%
Aug 18Sep 16
Median latency
444 ms
Aug 18Sep 16
Throughput
58.4 tok/s
Aug 18Sep 16
IranRouter uptime comes from our own automated probes; the reference figures are daily measurements of this model's upstream routes. Each card shows a 30-day average, and a day without data stays empty.
Supported parameters
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Parameters this model accepts; anything else is ignored.
Quick start
from openai import OpenAI
client = OpenAI(
api_key="ir-...",
base_url="https://iranrouter.com/v1",
)
resp = client.chat.completions.create(
model="mistralai/mistral-medium-3-5",
messages=[{"role": "user", "content": "سلام!"}],
)
print(resp.choices[0].message.content)Only base_url and the key change; the rest of your code stays as it is.