Live market

mistral-large-4-0

Mistral: Mistral Large 4

Nobody is selling this model right now. The prices below are the published rate, not an offer — a request would find no supply. They are kept visible so the rate can be watched and compared.

Quoted share of list: 80%
Quoted output / 1M: 1.672 USDT
Sellers online: 0
Calls / min: 0

Calling this model

POST /chat/completions — the same request OpenAI's SDKs already send. Point the base URL at asale and change nothing else.

billed per token

INPUT

The conversation so far, oldest first.

Ceiling on the answer's length.

Higher is more varied; 0 is deterministic.

Nucleus sampling: consider only the most likely tokens summing to this.

Penalise tokens by how often they already appeared.

Penalise tokens that appeared at all, pushing to new topics.

Repeat a previous result exactly.

Stop generating when this text appears.

Send the answer as it is produced.

Minimum charge per request: 0.000013 USDT

Output

Run it to see the answer here.

Or call it from your own code

curl https://gw.asale.ai/v1/chat/completions \
  -H "Authorization: Bearer $ASALE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistral-large-4-0",
    "messages": [
      {
        "role": "user",
        "content": "Say hello in one short sentence."
      }
    ]
  }'

import os, requests

r = requests.post(
    "https://gw.asale.ai/v1/chat/completions",
    headers={"Authorization": f"Bearer {os.environ['ASALE_API_KEY']}"},
    json={
      "model": "mistral-large-4-0",
      "messages": [
        {
          "role": "user",
          "content": "Say hello in one short sentence."
        }
      ]
    },
)
r.raise_for_status()
print(r.json())

const r = await fetch("https://gw.asale.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.ASALE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "mistral-large-4-0",
    "messages": [
      {
        "role": "user",
        "content": "Say hello in one short sentence."
      }
    ]
  }),
});
if (!r.ok) throw new Error(await r.text());
console.log(await r.json());

Request fields

Field	Type	Accepts	Meaning
modelrequired	string	—	Which model serves the request.
messagesrequired	text	—	The conversation so far, oldest first.
max_tokens	int	— … 262144	Ceiling on the answer's length.
temperature	number	0 … 2	Higher is more varied; 0 is deterministic.
top_p	number	0 … 1	Nucleus sampling: consider only the most likely tokens summing to this.
frequency_penalty	number	-2 … 2	Penalise tokens by how often they already appeared.
presence_penalty	number	-2 … 2	Penalise tokens that appeared at all, pushing to new topics.
seed	int	—	Repeat a previous result exactly.
stop	string	—	Stop generating when this text appears.
stream	boolean	—	Send the answer as it is produced.

Response

{
  "id": "chatcmpl-…",
  "object": "chat.completion",
  "model": "mistral-large-4-0",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "…"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 24,
    "completion_tokens": 12,
    "total_tokens": 36
  }
}

Token type	List / 1M	Market / 1M	Of list price
Input	0.68	0.544	80%
Output	2.09	1.672	80%
Cache read	0.07	0.056	80%
Cache write	0.68	0.544	80%

Channel quality

What has been measured about the supply behind this price. Readings, not promises — and aggregate, because which seller failed is nobody's business but theirs and ours.

Online lanes: 0
Verified lanes: —; Proved they serve this model
First byte (p50): —
Success rate: —; No turns settled in the window
Sellable capacity: —; Tokens offered right now

Latency and verification are measured over the last day; the success rate comes from settled traffic. See the status page

Price trend

Currently selling at 80% of the vendor's list price. More sellers online push it down; more buyers push it back up to list.

Of list price: 80%
Sellers online: 0
Calls / min: 0

Market depth

No live asks for this model.

MImistral-large-4-0

mistral-large-4-0