Output tokens cost $0.40 per million on GPT 4.1 Nano and $6.00 per million on Grok 4.5. Input tokens cost $0.10 per million on GPT 4.1 Nano and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.03 per million on GPT 4.1 Nano and $0.50 per million on Grok 4.5. Context lengths are 1,047,576 tokens on GPT 4.1 Nano and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 0.8s on GPT 4.1 Nano and 1.8s on Grok 4.5. Measured output throughput is 72.7 tok/s on GPT 4.1 Nano and 26.8 tok/s on Grok 4.5. On the LMArena coding leaderboard GPT 4.1 Nano scores 1374 and Grok 4.5 scores 1523.
GPT 4.1 Nano
Grok 4.5Ultra-lightweight model with million-token context, optimized for speed and low latency, costing only $0.10 per million input tokens. It is suitable for edge computing and real-time interaction. The automatic caching mechanism offers a 75% cost reduction on cache hits.
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.
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.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
GPT 4.1 Nano: $0.40/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Grok 4.5: 1523; GPT 4.1 Nano: 1374 (LMArena coding leaderboard).
GPT 4.1 Nano: 0.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GPT 4.1 Nano accepts 1,047,576 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 32,768 tokens on GPT 4.1 Nano and 500,000 tokens on Grok 4.5.
GPT 4.1 Nano at 72.7 tok/s and Grok 4.5 at 26.8 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GPT 4.1 Nano accepts text and image input and supports tool calling, function calling, structured outputs and long context; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
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