Mistral 7B
Pricing & Specs
Mistral · $0.25 input / $0.25 output per 1M tokens · 32.768K context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on Mistral 7B costs about $0.0004, roughly $0.38 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 7B API Pricing
| Tokens | Price |
|---|---|
| Input | $0.25 / 1M tokens |
| Output | $0.25 / 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 7B Specs
| Spec | Value |
|---|---|
| Context window | 32.768K tokens |
| Input modalities | text |
| Output modalities | text |
| Latency (measured by OpenMark) | ~175ms median response |
| Reasoning model | No |
| Tool / function calling | No |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | No |
| Batch API | Yes |
Capabilities
FAQ
How much does Mistral 7B cost?
Mistral 7B costs $0.25 per 1M input tokens and $0.25 per 1M output tokens.
What is Mistral 7B's context window?
Mistral 7B has a 32.768K-token context window.
Can I test Mistral 7B on my own task?
Yes. OpenMark lets you benchmark Mistral 7B against 100+ models on your own task with real API calls, with no API keys needed, free tier available.
Is Mistral 7B 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.