Mistral Medium 3.5
Pricing & Specs
Mistral · $1.5 input / $7.5 output per 1M tokens · 128K context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on Mistral Medium 3.5 costs about $0.0052, roughly $5.25 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
Mistral Medium 3.5 API Pricing
| Tokens | Price |
|---|---|
| Input | $1.5 / 1M tokens |
| Output | $7.5 / 1M tokens |
50% discount available for batch API requests. Batch API pricing is available for this model at 50%. No cache pricing is published.
What that means in practice
Mistral Medium 3.5 Specs
| Spec | Value |
|---|---|
| Context window | 128K tokens |
| Input modalities | text, image |
| Output modalities | text |
| Latency (measured by OpenMark) | ~171ms median response |
| Reasoning model | No |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | No |
| Batch API | Yes |
Capabilities
FAQ
How much does Mistral Medium 3.5 cost?
Mistral Medium 3.5 costs $1.5 per 1M input tokens and $7.5 per 1M output tokens.
What is Mistral Medium 3.5's context window?
Mistral Medium 3.5 has a 128K-token context window.
Can I test Mistral Medium 3.5 on my own task?
Yes. OpenMark lets you benchmark Mistral Medium 3.5 against 100+ models on your own task with real API calls, with no API keys needed, free tier available.
Is Mistral Medium 3.5 the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload: real API calls, real costs. Free tier available.