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.
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| Attribute | Grok 4.7grok-4.7 | Muse Spark 1.3muse-spark-1.3 | S1s1 | GPT-6 Luna Progpt-6-luna-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.60 / 1M | $1.25 / 1M | $0 / 1M | $0.10 / 1M |
| Output | $4.80 / 1M | $4.25 / 1M | $0 / 1M | $0.50 / 1M |
| Cache Write (5m) | $1.60 / 1M | $1.25 / 1M | Not applicable | $0.10 / 1M |
| Cache Write (1h) | $1.60 / 1M | $1.25 / 1M | Not applicable | $0.10 / 1M |
| Cache Read | $1.60 / 1M | $1.25 / 1M | Not applicable | $0.10 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 500K | 1M | N/A | 1.1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | Yes |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | SpaceXAI | Meta | Fish Audio | OpenAI |
| Category | chat | chat | voice | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | 2026-07-29 | — |
| 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. | Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows. | Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text. | 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. |