Saba API

mistralai/mistral-saba
Saba on AIMLAPI.
Context
33K tokens
Input
$0.27508 / 1M tokens
Output
$0.82524 / 1M tokens

How to use Saba API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to mistralai/mistral-saba.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "mistralai/mistral-saba",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "mistralai/mistral-saba",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"mistralai/mistral-saba","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Saba API Pricing

TypePrice
Input
$0.27508 / 1M tokens
Output
$0.82524 / 1M tokens
Cached input
$0.027508 / 1M tokens

Saba Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Intelligence
6.5
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026

Saba vs other models

ModelInputOutputContextBest for
Saba
This page
$0.27508 / 1M tokens
$0.82524 / 1M tokens
33K tokens
Reasoning + agents
$6.5 / 1M tokens
$39 / 1M tokens
1.05M tokens
Reasoning + agents
$2.6 / 1M tokens
$13 / 1M tokens
1M tokens
Balanced coding + agents
$3.9 / 1M tokens
$19.5 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$0.65 / 1M tokens
$3.9 / 1M tokens
1.05M tokens
Reasoning + agents

Frequently asked questions

Saba has a 32,768 tokens context window.

Saba takes image, text as input and returns text.

Use mistralai/mistral-saba as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

Saba is priced at input $0.27508 / 1M tokens, output $0.82524 / 1M tokens, cached input $0.027508 / 1M tokens.

Yes, Saba can stream responses as they are generated.

Yes, Saba accepts image input alongside text.

Saba was built by Mistral AI.

Saba is a chat model from Mistral AI accessible via the endpoint api.aimlapi.com/v1/chat/completions, supporting text and image inputs with text output.

Yes, Saba supports function calling, parallel tool calls, and structured outputs.

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