Grok 4.7 is xAI’s flagship model for coding, agentic tasks, and professional knowledge work. Compared with Grok 4.6, it uses a larger base model and longer reinforcement-learning training, improving long-horizon task execution, self-verification, context management, and document and presentation creation.
Pricing
Input Modalities
- Text
- Vision
Output Modalities
- Text
Context length
- 500K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Document input
- Structured outputs
- Structured decision
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
Azure grok-4.7
TierInput<=200K
Pricing$2$6
Cache Read$0.5/M tokens
Tier200K<Input
Pricing$4$12
Cache Read$1/M tokens
Context500K
Latency40.3S
Throughput22.0TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
99.61% uptime today
Grok grok-4.7
TierInput<=200K
Pricing$2$6
Cache Read$0.5/M tokens
Tier200K<Input
Pricing$4$12
Cache Read$1/M tokens
Context500K
Latency2.7S
Throughput44.4TPS
Uptime
97.66% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Performance for grok-4.7
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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Try this model
Python