Mistral

Mistral Small 3.1

AI model by Mistral. Real-time pricing and benchmark data.

Pricing (per 1M tokens)

Input$0.10
Output$0.30
Blended (3:1)$0.15

Source: Artificial Analysis

Performance

Output Speed149 tok/s
Time to First Token810ms

Median values from Artificial Analysis

Editorial Analysis

Profile. Mistral Small 3.1 is a budget-tier option from Mistral at $0.30/M output tokens. Despite the low price, it scores competitively on Coding Index (26.3) and Intelligence Index (14.9) — making it a candidate for high-volume production workloads where unit cost dominates.

Latency. On latency, Mistral Small 3.1 reports 149 tok/s output speed and 810ms time-to-first-token. Output speed is in the normal range — most chat and completion applications will be token-bound, not streaming-bound.

Cost model. For a workload of 1M input tokens + 100K output tokens, Mistral Small 3.1 costs $0.13 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.

Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.

Compare with similar models

ModelInputOutputSpeed
Mistral Small 3.1Current
$0.10$0.30149 tok/s
Gemma 4 12B (Non-reasoning)
$0.10$0.30114 tok/s
Step 3.5 Flash 2603
$0.10$0.30214 tok/s
Nemotron 3 Nano Omni 30B A3B Reasoning
$0.07$0.30326 tok/s
Ling 2.6 Flash
$0.10$0.30104 tok/s
MiMo-V2-Flash (Reasoning)
$0.10$0.30

Example Costs

Single Request
$0.0003
1.0K in / 500 out
1K Requests/day
$0.2500
1.0M in / 500.0K out
10K Requests/day
$2.50
10.0M in / 5.0M out