Mistral AI
Mistral Small 3.2
Released Jun 20, 2025 · 41B tokens this week · 3 providers
Overview
A compact multimodal model that runs comfortably on a single GPU. Improved instruction-following and function calling over 3.1 at the same low price. A good open-weight base for fine-tuning narrow assistants.
Providers
Reference data — not yet measured from live traffic
| PROVIDER | MAX OUT | OUTPUT /M | QUANT | |||||
|---|---|---|---|---|---|---|---|---|
DeepInfraCheapest | 131K | 33K | $0.10 | $0.30 | 380ms | 140 | 98.80% | fp8 |
Mistral AI | 131K | 33K | $0.11 | $0.33 | 200ms | 165 | 99.80% | Full |
Together AI | 131K | 33K | $0.12 | $0.34 | 195ms | 150 | 99.40% | Full |
Latency p50 reflects a provider’s API endpoint responsiveness — the round-trip to its API, not per-token inference time. These figures, with throughput and uptime, are reference data until the gateway aggregates its own traffic.
Price comparison
Blended $ per 1M tokens
Blended rate per 1M tokens, weighted one part prompt to three parts completion — roughly the shape of a chat workload. Your mix will move the number.
Call it
OpenAI-compatible — swap the base URL and go
curl https://model.cards/api/v1/chat/completions \
-H "Authorization: Bearer $MODELCARDS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-small-3.2",
"messages": [
{ "role": "user", "content": "Summarize the tradeoffs of speculative decoding." }
]
}'