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 | Grok 4.7grok-4.7 | Qwen3 ASR 0.6Bqwen3-asr-0.6b | Nova-3nova-3 |
|---|---|---|---|
| Pricing | |||
| Input | $1.60 / 1M | $0 / 1M | $0 / 1M |
| Output | $4.80 / 1M | $0 / 1M | $0 / 1M |
| Cache Write (5m) | $1.60 / 1M | Not applicable | Not applicable |
| Cache Write (1h) | $1.60 / 1M | Not applicable | Not applicable |
| Cache Read | $1.60 / 1M | Not applicable | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 500K | N/A | N/A |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | No | No |
| Function Calling | Yes | No | No |
| JSON Mode | Yes | No | No |
| Streaming | Yes | No | No |
| Catalogue | |||
| Provider | SpaceXAI | Qwen | Deepgram |
| Category | chat | voice | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-08-13 | 2026-07-15 |
| Description | |||
| Summary | 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. | Qwen3-ASR 0.6B speech-to-text. Billed per second of audio. | Deepgram Nova-3 speech-to-text. Billed per second of audio. |