L LLM Cloud Hub
Side-by-side comparison

Mistral Small 4 vs GPT-4o-mini

Mistral

Mistral Small 4

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
View Mistral Small 4 β†’
OpenAI

GPT-4o-mini

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
View GPT-4o-mini β†’
Mistral Small 4GPT-4o-mini
Provider Mistral OpenAI
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 262,144 128,000
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). vision, tools, json_mode vision, tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 0.1500 0.1500
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 0.6000 0.6000

Frequently asked questions

Which is cheaper, Mistral Small 4 or GPT-4o-mini?

Mistral Small 4 is cheaper than GPT-4o-mini on a 50/50 input/output blend by about $0 per 1M tokens. Exact savings depend on your input-vs-output ratio β€” use the cost calculator on this page for a workload-specific estimate.

Which has a larger context window, Mistral Small 4 or GPT-4o-mini?

Mistral Small 4 has the larger context window at 262k tokens versus 128k tokens for GPT-4o-mini. That means Mistral Small 4 can ingest about 2.0x as much text per request.

What is the difference between Mistral Small 4 and GPT-4o-mini?

Mistral Small 4 comes from Mistral; GPT-4o-mini comes from OpenAI. They differ in pricing, context window, and supported capabilities β€” see the side-by-side table on this page for the exact figures, refreshed nightly.

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