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.
- Nova-3DeepgramRemove
- MAI-Transcribe 2MicrosoftRemove
- Claude Sonnet 5.5AnthropicRemove
- GPT-6 LunaOpenAIRemove
4 is the maximum. Remove one to add another.
| Attribute | Nova-3nova-3 | MAI-Transcribe 2mai-transcribe-2 | Claude Sonnet 5.5claude-sonnet-5.5 | GPT-6 Lunagpt-6-luna |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0 / 1M | $0 / 1M | $2.00 / 1M | $0.10 / 1M |
| Output | $0 / 1M | $0 / 1M | $10.00 / 1M | $0.50 / 1M |
| Cache Write (5m) | Not applicable | Not applicable | $2.50 / 1M | $0.10 / 1M |
| Cache Write (1h) | Not applicable | Not applicable | $4.00 / 1M | $0.10 / 1M |
| Cache Read | Not applicable | Not applicable | $0.20 / 1M | $0.10 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | N/A | 1M | 1.1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | No | Yes | Yes |
| Function Calling | No | No | Yes | Yes |
| JSON Mode | No | No | Yes | Yes |
| Streaming | No | No | Yes | Yes |
| Catalogue | ||||
| Provider | Deepgram | Microsoft | Anthropic | OpenAI |
| Category | voice | voice | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-07-15 | 2026-09-03 | — | — |
| Description | ||||
| Summary | Deepgram Nova-3 speech-to-text. Billed per second of audio. | Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio. | Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor. | 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. |