Mistral Large 4
Mistral Large 4 is Mistral's open-weight, general-purpose multimodal model, a granular mixture-of-experts with 52B active and 1.05T total parameters plus a 1.6B vision encoder.
input · usd / 1m tok
$0.68
output · usd / 1m tok
$2.09
context window
524.29ktokens
modalities · in → out
takes text and image in, gives text out
pricing
base api ratesusd per 1m tokens
- input
- $0.68
- output
- $2.09
- cache read
- $0.07
providers
Mistral hosts Mistral Large 4. Impossibl routes your request intelligently and handles failover automatically when a provider is down.
- Mistral
specifications
takes text and image in, gives text outmistral/mistral-large-4
- creatorMistral
- model typeText generation
- context window524,288 tokens
- maximum outputnot published
- input
takes text and image in, gives text out
- outputtext
- tool callingnot verified
- releasedoct 6, 2026
- endpoint
/v1/chat/completions
unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.
try it · your prompt, this model, live
# responses API
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["IMPOSSIBL_API_KEY"],
base_url="https://api.impossibl.com/v1",
)
resp = client.responses.create(
model="mistral/mistral-large-4",
input="",
)
print(resp.output_text)
edit the prompt, then run
benchmarks
benchmark results are not available for this model yet.
compare Mistral Large 4 with other models
frontier labs and open weights, best-ranked firstusd / 1m tok · in / out
- anthropic/claude-opus-5-5$4.00 / $20.00compare →
- openai/gpt-6-astra$10.00 / $50.00compare →
- meta/muse-wonder$4.00 / $20.00compare →
- xiaomi/mimo-v2.6-pro$0.435 / $0.87compare →
frequently asked questions
What is Mistral Large 4?
Mistral Large 4 is Mistral's open-weight, general-purpose multimodal model, a granular mixture-of-experts with 52B active and 1.05T total parameters plus a 1.6B vision encoder. It takes text and image input over a long context, can reason before answering or answer directly, and supports function calling and structured outputs.
How much does Mistral Large 4 cost?
Mistral Large 4 costs $0.68 per million input tokens and $2.09 per million output tokens through the Impossibl API. Cache reads cost $0.07 per million tokens. All rates are in USD.
What is the context length of Mistral Large 4?
Mistral Large 4 has a 524,288-token context window through the Impossibl API.
What inputs and outputs does Mistral Large 4 support?
Mistral Large 4 accepts text and image as input. Mistral Large 4 returns text.
How do I use Mistral Large 4 through an API?
Mistral Large 4 is available through the Impossibl API. Use mistral/mistral-large-4 as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.
When was Mistral Large 4 released?
Mistral released Mistral Large 4 on October 6, 2026.
this page describes Mistral Large 4 as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.
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