Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
Grok 4.5 vs Qwen Mt Plus
Output tokens cost $6.00 per million on Grok 4.5 and $1.48 per million on Qwen Mt Plus. Input tokens cost $2.00 per million on Grok 4.5 and $0.49 per million on Qwen Mt Plus. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $0.49 per million on Qwen Mt Plus. Context lengths are 500,000 tokens on Grok 4.5 and 16,000 tokens on Qwen Mt Plus. Time to first token (TTFT) measured on AIHubMix is 1.8s on Grok 4.5 and 0.3s on Qwen Mt Plus. Measured output throughput is 26.8 tok/s on Grok 4.5 and 25.0 tok/s on Qwen Mt Plus.
Based on the comprehensive upgrade of Qwen3, this flagship translation large model supports bidirectional translation across 92 languages. It offers fully enhanced model performance and translation quality, along with more stable terminology customization, format fidelity, and domain-prompting capabilities, making translations more accurate and natural.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Grok 4.5, Qwen Mt Plus?
Qwen Mt Plus: $1.48/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Qwen Mt Plus: 0.3s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Grok 4.5 accepts 500,000 and Qwen Mt Plus accepts 16,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 8,000 tokens on Qwen Mt Plus.
Which one generates tokens faster?
Grok 4.5 at 26.8 tok/s and Qwen Mt Plus at 25.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Qwen Mt Plus accepts text input.
Can I call Grok 4.5 and Qwen Mt Plus with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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