grok-4-7 is a frontier-tier model from xAI in the Grok 4 family, priced at $2.00 per million input tokens and $6.00 per million output tokens. Prompt caching reduces repeated input to $0.50/1M. It supports a 256K-token context window, vision inputs, function calling, and streaming. grok-4-7 is a proprietary model available exclusively through xAI's API.
grok-4-7 is priced at $2.00 per million input tokens and $6.00 per million output tokens, with prompt caching at $0.50/1M. The 3:1 output-to-input ratio is lower than many frontier models, making it particularly cost-effective for output-heavy workloads. At 1,000 input + 500 output tokens per call, the cost is ($2.00 × 1,000 + $6.00 × 500) ÷ 1,000,000 = $0.005 per call, or approximately $5.00 per 1,000 API calls — competitive with advanced-tier models from other providers. Prompt caching at $0.50/1M provides savings for workloads with long repeated system prompts.
grok-4-7's 256K-token context window is in the top tier for production models, enabling full-document analysis, large codebase understanding, and long multi-turn conversations without chunking. Maximum output is 131,072 tokens — sufficient for long-form content, detailed code files, and extended reports. Median latency is approximately 900ms TTFT (Estimate). Throughput is approximately 90 tokens per second (Estimate). As a standard (non-reasoning) model, it delivers faster responses than reasoning-tier models.
grok-4-7 is best suited to reasoning, coding, and chat workloads where frontier capability is required at a competitive price point. Its $2/$6 pricing with a 3:1 output ratio makes it particularly attractive for output-heavy workloads — long-form generation, detailed code files, and extended reports benefit from the lower output-to-input price ratio compared to models with 5:1 ratios. For workloads requiring extended chain-of-thought reasoning, grok-4-0709 ($3/$15) offers deeper reasoning capability at higher cost.
grok-4-7 sits in the Grok 4 family alongside grok-4-0709 ($3/$15, reasoning model). At $2/$6, it offers frontier-tier capability at a lower price point than grok-4-0709, with the trade-off of standard (non-reasoning) processing. Its intelligence score of approximately 90/100 reflects strong frontier-tier performance. xAI's API is newer and has a smaller ecosystem than established providers — teams should evaluate production reliability and tooling support accordingly. Main competitors are frontier-tier models from OpenAI, Anthropic, and Google at similar price points.
Composite quality score based on reasoning, coding, and instruction-following benchmarks.
Input price vs 135 frontier models tracked. Avg: $5.69/1M.
| Model ID | grok-4-7 |
| Provider | xAI |
| Model Family | Grok 4 |
| Tier | Frontier |
| Context Window | 256,000 tokens (256K) |
| Max Output Tokens | 131,072 tokens |
| Input Price | $2 / 1M tokens |
| Output Price | $6 / 1M tokens |
| Cached Input Price | $0.5 / 1M tokens |
| Throughput | 90 tokens/sec |
| Latency (P50) | 900ms |
| Intelligence Score | 90/100 |
| LiveBench Score | — |
| Cost per Task (LiveBench) | — |
| Data Confidence | Partial |
| HLE Score | — |
| GPQA Diamond | — |
| SWE-bench Score | — |
| OSWorld Score | — |
| BrowseComp Score | — |
| Terminal-Bench Score | — |
| AutoBench Score | — |
| Parameters | — |
| Vision Support | Yes |
| Function Calling | Yes |
| Streaming | Yes |
| Reasoning Model | No |
| Open Weights | No |
| Data Source | Static (verified) |
| Last Updated | 2026-10-23 |
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