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
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Last 30 days
100.0%
n=1
Median response time
545ms
n=1
Based on 109 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)
1
OK responses (30d)
1
Total calls (7d)
0
OK responses (7d)
0
Tokonomix benchmark verdicts
Grok 4.5 debuts with strong performance across reasoning and coding tasks
Grok 4.5 enters the benchmark as xAI's latest flagship model, establishing a solid baseline across diverse evaluation categories. The model demonstrates particularly strong performance in mathematical reasoning, achieving 88.3% on MATH-500 and ranking competitively on AIME 2024. Coding capabilities are robust with 86.8% on HumanEval and 90.8% on a private coding evaluation. General knowledge and instruction following show respectable scores of 88.6% on MMLU-Pro and 79.4% on IFEval respectively. The model supports multimodal capabilities including vision, structured JSON output, tool use, and an extended 128K context window. Performance on vision tasks is moderate at 72.7% on MMMU, suggesting room for improvement in multimodal reasoning. Graduate-level science reasoning scores 61.6% on GPQA Diamond, placing it in the middle tier for this challenging benchmark. The model also includes reasoning-specific capabilities, though no dedicated reasoning benchmarks are provided in this window. As a first entry, Grok 4.5 establishes itself as a well-rounded model with particular strengths in mathematics and coding, while leaving opportunities for growth in vision understanding and advanced reasoning tasks.
Quality
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Latency p50
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Test runs
0