Output tokens cost $6.00 per million on Grok 4.5 and $0.53 per million on Qwen Mt Turbo. Input tokens cost $2.00 per million on Grok 4.5 and $0.19 per million on Qwen Mt Turbo. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $0.19 per million on Qwen Mt Turbo. Context lengths are 500,000 tokens on Grok 4.5 and 16,000 tokens on Qwen Mt Turbo. Time to first token (TTFT) measured on AIHubMix is 2.2s on Grok 4.5 and 0.9s on Qwen Mt Turbo. Measured output throughput is 27.1 tok/s on Grok 4.5 and 3.4 tok/s on Qwen Mt Turbo.
Grok 4.5
Qwen Mt TurboGrok 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.
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.
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.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Qwen Mt Turbo: $0.53/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Qwen Mt Turbo: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Grok 4.5 accepts 500,000 and Qwen Mt Turbo accepts 16,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 8,000 tokens on Qwen Mt Turbo.
Grok 4.5 at 27.1 tok/s and Qwen Mt Turbo at 3.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Qwen Mt Turbo accepts text input.
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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