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SEO release batch two

Mistral: Mistral 7B Instruct v0.1 | API capability profile

Mistral: Mistral 7B Instruct v0.1 API capability starts with model ID, modality, parameter surface, and the next key-check step.

Provider
Mistral AI
25 models in catalog
Context
2,824
global model route
Input
$0.11
USD / 1M tokens
Output
$0.19
USD / 1M tokens

What this page answers

A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length.

  • Mistral AI · mistralai/mistral-7b-instruct-v0.1
  • text->text · global model route
  • 2,824 context · $0.11 input

Before connecting

Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.

  • supports frequency_penalty
  • supports max_tokens
  • supports presence_penalty
  • supports repetition_penalty
  • supports seed

Next action

The goal is to catch search demand, then move users into model profiles, provider profiles, and key checking.

  • Check whether the model fits the use case
  • Then verify key permission and callable models