GPT-5.1 Codex mini vs Mistral 7B
Side-by-side comparison of pricing and capabilities
GPT-5.1 Codex mini
Mistral 7B
Input Price Comparison
| Attribute | GPT-5.1 Codex mini | Mistral 7B |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $0.25 /1M tokens | $0.25 /1M tokens |
| Output Price | $2 /1M tokens | $0.25 /1M tokens |
| Cached Input | $0.025 /1M tokens | $0.025 /1M tokens |
| Context Window | 400K | 33K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | GPT-5.1 Codex mini | Mistral 7B |
|---|---|---|
| coding | ||
| multilingual |
Which should you choose?
Budget-conscious: GPT-5.1 Codex mini is 0% cheaper on input tokens ($0.25 vs $0.25 per 1M tokens). Both models have the same input price.
Context-heavy tasks: GPT-5.1 Codex mini offers a larger context window (400K vs 33K), making it better for long documents or conversations.
Capability fit: GPT-5.1 Codex mini supports 1 capabilities (coding), while Mistral 7B supports 1 (multilingual).
Frequently Asked Questions
Which is cheaper: GPT-5.1 Codex mini or Mistral 7B?
GPT-5.1 Codex mini costs $0.25/1M input vs Mistral 7B at $0.25/1M input. GPT-5.1 Codex mini is 0% cheaper on input tokens.
How do output prices compare between GPT-5.1 Codex mini and Mistral 7B?
GPT-5.1 Codex mini output: $2/1M, Mistral 7B output: $0.25/1M. Mistral 7B is more economical for generation-heavy workloads.
What is GPT-5.1 Codex mini best used for?
GPT-5.1 Codex mini is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Mistral 7B best used for?
Mistral 7B is suited for complex reasoning, analysis, and tasks that benefit from its multilingual capabilities.