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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Grok 4.7SpaceXAIRemove
  2. Qwen3.8 2.4T A95BAlibabaRemove
grok-4.7 vs qwen3.8-2.4t-a95b
AttributeGrok 4.7grok-4.7Qwen3.8 2.4T A95Bqwen3.8-2.4t-a95b
Pricing
Input$1.60 / 1M$1.80 / 1M
Output$4.80 / 1M$5.40 / 1M
Cache Write (5m)$1.60 / 1M$1.80 / 1M
Cache Write (1h)$1.60 / 1M$1.80 / 1M
Cache Read$1.60 / 1M$1.80 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context500K262K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderSpaceXAIAlibaba
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGrok 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.Qwen3.8 2.4T A95B is Qwen's open-weight sparse Mixture-of-Experts (MoE) model and the open-weight counterpart to Qwen3.8 Max. It features 2.4T total parameters with 95B activated per token, combining frontier-scale capacity with efficient sparse inference. Designed for coding, research, complex reasoning, and agentic workflows, the model is well suited for demanding long-horizon tasks and advanced autonomous systems while providing the flexibility and customization benefits of open weights.