Compare OpenAI: GPT-4o-mini (OpenRouter) and Mistral: Mistral Small 3.2 24B (Mistral AI) by price, context, capabilities, and latency.
Lado a lado
Compara precio, proveedor, contexto, capacidades, latencia y base de la fuente.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| OpenAI: GPT-4o-miniopenai/gpt-4o-mini | OpenRouter | $0.15 / 1M tokens | $0.6 / 1M tokens | 128k | Tool callingVisionJSON modeLong context | low-cost chat, image understanding | 800-2400ms | Catalog | OpenRouter if available |
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | Mistral AI | $0.1 / 1M tokens | $0.3 / 1M tokens | 128k | Tool callingJSON modeStreamingLow cost | translation, classification | 700-2300ms | Catalog | OpenRouter if available |
FAQ
Mistral: Mistral Small 3.2 24B is cheaper ($0.1 / 1M tokens input / $0.3 / 1M tokens output) vs OpenAI: GPT-4o-mini ($0.15 / 1M tokens input / $0.6 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.
Both offer the same context window: 128k tokens.
Both target Low cost. Pick Mistral: Mistral Small 3.2 24B to optimize cost, or OpenAI: GPT-4o-mini for the longer context window. Test both on real prompts before committing production traffic.