Output tokens cost $6.00 per million on grok-4.5 and $1.13 per million on qwen3.7-flash. Input tokens cost $2.00 per million on grok-4.5 and $0.28 per million on qwen3.7-flash. Cached input tokens are billed at $0.50 per million on grok-4.5 and $0.06 per million on qwen3.7-flash. Context windows are 1,000,000 tokens on grok-4.5 and 991,000 tokens on qwen3.7-flash. First-token latency measured on AIHubMix is 1.8s on grok-4.5 and 2.1s on qwen3.7-flash. Measured output throughput is 38.4 tokens/s on grok-4.5 and 104.1 tokens/s on qwen3.7-flash.
grok-4.5
qwen3.7-flashGrok 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.
The Qwen 3.7 series' mid-to-high cost-performance "Plus" model builds on strong text capabilities with a comprehensive upgrade to vision-language abilities, while retaining full agent capabilities in coding, tool use, and productivity workflows. Its core features are multimodal interactive hybrid agent capabilities, able to perceive real-world scenes, read screens and operate GUIs, generate code based on visual references, and provide end-to-end navigation of mobile applications.
Prices are per million tokens. Latency 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.
qwen3.7-flash: $1.13/M output tokens; grok-4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
grok-4.5: 1.8s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
grok-4.5 accepts 1,000,000 and qwen3.7-flash accepts 991,000 input tokens. Maximum output per request is 1,000,000 tokens on grok-4.5 and 64,000 tokens on qwen3.7-flash.
qwen3.7-flash at 104.1 tokens/s and grok-4.5 at 38.4 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
grok-4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; qwen3.7-flash accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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.
Related model match-ups readers also look at.
AIHubMix