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 — 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.