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
- Transcribe 1 ProFish AudioRemove
- GPT-6 Luna ProOpenAIRemove
- Grok 4.7SpaceXAIRemove
4 is the maximum. Remove one to add another.
| Attribute | Nova-3nova-3 | Transcribe 1 Protranscribe-1-pro | GPT-6 Luna Progpt-6-luna-pro | Grok 4.7grok-4.7 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0 / 1M | $0 / 1M | $0.10 / 1M | $1.60 / 1M |
| Output | $0 / 1M | $0 / 1M | $0.50 / 1M | $4.80 / 1M |
| Cache Write (5m) | Not applicable | Not applicable | $0.10 / 1M | $1.60 / 1M |
| Cache Write (1h) | Not applicable | Not applicable | $0.10 / 1M | $1.60 / 1M |
| Cache Read | Not applicable | Not applicable | $0.10 / 1M | $1.60 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | N/A | 1.1M | 500K |
| 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 | Fish Audio | OpenAI | SpaceXAI |
| 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 | 2026-09-24 | — | — |
| Description | ||||
| Summary | Deepgram Nova-3 speech-to-text. Billed per second of audio. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. | GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier. | Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort. |