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 | Gemini 4 Carbongemini-4-carbon | Aura-2aura-2 |
|---|---|---|
| Pricing | ||
| Input | $2.00 / 1M | — Not priced per input token |
| Output | $10.00 / 1M | — Not priced per output token |
| Cache Write (5m) | $2.00 / 1M | Not applicable |
| Cache Write (1h) | $2.00 / 1M | Not applicable |
| Cache Read | $2.00 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 1M | N/A |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | No |
| Function Calling | Yes | No |
| JSON Mode | Yes | No |
| Streaming | Yes | No |
| Catalogue | ||
| Provider | Deepgram | |
| Category | chat | voice |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | 2026-07-16 |
| Description | ||
| Summary | Gemini 4 Carbon is Google's frontier multimodal reasoning model, designed for advanced coding, agentic workflows, and complex multi-step problem solving. It supports text, image, audio, video, and file inputs, enabling integrated reasoning and analysis across diverse modalities. Optimized for long-horizon execution and demanding professional workloads, Gemini 4 Carbon supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high) to balance reasoning depth, latency, and cost. It is well suited for autonomous agents, software engineering, multimodal analysis, and large-scale workflow automation. | Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character. |