Claude 3.5 Haiku vs GPT-4o mini
A side-by-side comparison of two Small LLM models - to help you pick the right one.
Claude 3.5 Haiku
Anthropic
Claude 3.5 Haiku is Anthropic's fastest, low-cost model designed for latency-sensitive and high-volume workloads. It is a small LLM with a 200,000-token context window, suitable for text-based applications. This model excels in scenarios requiring quick responses and cost-efficient processing.
GPT-4o mini
OpenAI
GPT-4o mini is a smaller, low-cost OpenAI model designed for high-volume tasks. It supports both text and vision inputs, making it versatile for multimodal applications. With a 128,000-token context window and 16,384-token max output, it balances capacity and affordability.
Spec comparison
| Claude 3.5 Haiku | GPT-4o mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Category | Small LLM | Small LLM |
| Context window | 200K ctx | 128K ctx |
| Max output | 8K ctx | 16K ctx |
| Input price | $0.80 / 1M | $0.15 / 1M |
| Output price | $4 / 1M | $0.60 / 1M |
| License | Proprietary | Proprietary |
| Open weights | No | No |
| Modality | Text | Text, Vision |
Prices and specs are per provider documentation; verify current figures before relying on them.
Claude 3.5 Haiku: what it's for
Claude 3.5 Haiku is Anthropic's fastest, low-cost model designed for latency-sensitive and high-volume workloads. It is a small LLM with a 200,000-token context window, suitable for text-based applications. This model excels in scenarios requiring quick responses and cost-efficient processing.
GPT-4o mini: what it's for
GPT-4o mini is a smaller, low-cost OpenAI model designed for high-volume tasks. It supports both text and vision inputs, making it versatile for multimodal applications. With a 128,000-token context window and 16,384-token max output, it balances capacity and affordability.