Side-by-side comparison
GPT-4 Turbo (older v1106) vs Mistral Large 2411
OpenAI
GPT-4 Turbo (older v1106)
🔧 Tools
{} JSON
Input / 1M
$10.0000
Output / 1M
$30.0000
Mistral
Mistral Large 2411
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$6.0000
| GPT-4 Turbo (older v1106) | Mistral Large 2411 | |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 10.0000 | 2.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 30.0000 | 6.0000 |
Frequently asked questions
Which is cheaper, GPT-4 Turbo (older v1106) or Mistral Large 2411?
Mistral Large 2411 is cheaper than GPT-4 Turbo (older v1106) on a 50/50 input/output blend by about $16 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, GPT-4 Turbo (older v1106) or Mistral Large 2411?
Mistral Large 2411 has the larger context window at 131k tokens versus 128k tokens for GPT-4 Turbo (older v1106). That means Mistral Large 2411 can ingest about 1.0x as much text per request.
What is the difference between GPT-4 Turbo (older v1106) and Mistral Large 2411?
GPT-4 Turbo (older v1106) comes from OpenAI; Mistral Large 2411 comes from Mistral. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.