Speed analysis
Latency measured across all benchmark runs. P50 (median) and P95 (95th percentile) give a realistic picture of response speed under normal and peak load.
Pricing
What you pay per million tokens when you use this model on Tokonomix, plus an estimate for a typical conversation.
Tokens per second
Throughput in tokens per second, derived from measured P50 latency. Higher is better; fluctuations track provider-side load.
Estimated from P50 latency × 200 output tokens — the absolute number depends on this assumption; the trend is what matters.
Capabilities
Availability
Availability
How often this model answers when we call it — measured across real API requests and live tests over the last 30 days. This is separate from quality: these numbers only tell you whether the model responds, not how good the answer is.
Last 7 days
100.0%
n=4
Last 30 days
66.7%
n=9
Median response time
81,478ms
n=6
Based on 126 measurements over the last 30 days.
Technical details
Only live API calls and live-test requests count — internal probes and benchmark runs are excluded.
Calls with a custom API key (BYOK) are excluded: those failures are key-specific, not a sign of model downtime.
Failed calls are NOT included in quality scores — quality is measured on successful responses only. Availability and quality are independent signals.
Median response time (p50) across successful calls with a recorded duration. Outliers (very slow or very fast calls) pull the median less than the average.
Total calls (30d)
9
OK responses (30d)
6
Total calls (7d)
4
OK responses (7d)
4
Tokonomix benchmark verdicts
Grok 4.7 debuts with strong performance across coding and reasoning tasks
Grok 4.7 enters the benchmark landscape as xAI's latest offering, establishing baseline performance across multiple evaluation categories. The model demonstrates particularly strong capabilities in coding tasks, achieving 86.9 on HumanEval and 90.5 on MBPP, placing it competitively among current generation models. Mathematical reasoning shows solid results with 83.6 on GSM8K, though MATH performance at 52.8 indicates room for growth on more complex problems. The model handles general knowledge effectively with 78.4 on MMLU and 85.2 on MMLU-Pro, suggesting broad domain coverage. Instruction following capabilities appear robust at 84.7 on IFEval. This release includes full multimodal support with vision capabilities, structured output through JSON mode, tool calling functionality, and dedicated reasoning features. As a first-generation entry in our tracking system, Grok 4.7 establishes a comprehensive feature set and demonstrates competitive performance particularly in practical coding applications. Users should note this baseline will serve as the reference point for tracking future iterations and improvements in the Grok model family.
Quality
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Latency p50
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Test runs
0