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=1
Last 30 days
100.0%
n=2
Median response time
15,356ms
n=2
Based on 110 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)
2
OK responses (30d)
2
Total calls (7d)
1
OK responses (7d)
1
Tokonomix benchmark verdicts
Grok 4.3 debuts with strong multimodal performance across benchmarks
Grok 4.3 enters the benchmark landscape as a competitive multimodal model with solid performance across core evaluation suites. The model achieves 87.8% on MMLU, placing it in the upper tier of current language models, alongside 88.3% on MMLU Pro and 78.6% on GPQA Diamond, demonstrating strong reasoning capabilities. Mathematical performance is robust with 91.6% on MATH-500 and 90.1% on GSM8K, while coding abilities show well with 89.7% on HumanEval and 84.5% on LiveCodeBench. Vision capabilities debut at 78.9% on MMMU, indicating competent multimodal understanding. Context handling extends to 128K tokens with function calling support, making it suitable for complex applications. The model shows balanced performance without obvious weaknesses in core domains. As a first-generation baseline, Grok 4.3 establishes itself as a capable general-purpose model with particular strength in mathematical reasoning and coding tasks. Users should find it well-suited for applications requiring both text and vision processing, though performance in specialized domains will need evaluation in real-world scenarios.
Quality
—
Latency p50
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Test runs
0