Compare models
Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
| Attribute | Claude Fable 5.1claude-fable-5.1 | GPT-6 Lunagpt-6-luna | mai-ds-r1:freeNot in the catalogue |
|---|---|---|---|
| Pricing | |||
| Input | $10.00 / 1M | $0.10 / 1M | — |
| Output | $50.00 / 1M | $0.50 / 1M | — |
| Cache Write (5m) | $12.50 / 1M | $0.10 / 1M | — |
| Cache Write (1h) | $20.00 / 1M | $0.10 / 1M | — |
| Cache Read | $0.25 / 1M | $0.10 / 1M | — |
| Web Search | $0 / 1M | $0 / 1M | — |
| Context | |||
| Max context | 1M | 1.1M | — |
| Max output | N/A | N/A | — |
| Capabilities | |||
| Vision | Yes | Yes | — |
| Function Calling | Yes | Yes | — |
| JSON Mode | Yes | Yes | — |
| Streaming | Yes | Yes | — |
| Catalogue | |||
| Provider | Anthropic | OpenAI | — |
| Category | chat | chat | — |
| Charge type | Pay As You Go | Pay As You Go | — |
| Released | — | — | — |
| Description | |||
| Summary | Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications. | GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability. | — |