Last refreshed 2026-09-24. Next refresh: weekly.
Why use Mistral Small 3.1 24B Instruct on Featherless?
Featherless offers Mistral Small 3.1 24B Instruct with pay-as-you-go pricing at $0.22/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).
Compare Mistral Small 3.1 24B Instruct across 7 providers to find the best fit for your use caseInput / 1M
$0.2168
Output / 1M
$0.4025
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FEATHERLESS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",Model ID
mistralai/Mistral-Small-3.1-24B-Instruct-2503Request example
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",
api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
model="mistralai/Mistral-Small-3.1-24B-Instruct-2503",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "mistralai/Mistral-Small-3.1-24B-Instruct-2503", not the LLMReference slug "mistral-small-3.1-24b-instruct".
- Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.
- The examples expect FEATHERLESS_API_KEY; rename it only if your application config maps the new variable.
Compare Mistral Small 3.1 24B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | $0.35 | $0.56 |
| OpenRouter | $0.35 | $0.56 |
| Fireworks AI | $0.90 | $0.90 |
| NVIDIA NIM | — | — |
| Together AI | $0.10 | $0.30 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.22 |
| Output tokens | $0.40 |
Capabilities
VisionMultimodalStructured Outputs
About Mistral Small 3.1 24B Instruct
Mistral's Small 3.1 24B model with multimodal vision understanding capabilities. Optimized for cost-efficient deployment with 128K token context window. Available on Cloudflare Workers AI.
Get Started
Model Specs
Released2025-12-15
Parameters24B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-10