Output tokens cost $6.00 per million on Grok 4.5 and $0.58 per million on MiMo V2 Flash. Input tokens cost $2.00 per million on Grok 4.5 and $0.19 per million on MiMo V2 Flash. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $0.04 per million on MiMo V2 Flash. Time to first token (TTFT) measured on AIHubMix is 1.6s on Grok 4.5 and 3.9s on MiMo V2 Flash. Measured output throughput is 26.5 tok/s on Grok 4.5 and 58.6 tok/s on MiMo V2 Flash. On the LMArena coding leaderboard Grok 4.5 scores 1523 and MiMo V2 Flash scores 1446.
Grok 4.5
MiMo V2 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.
MiMo-V2-Flash is a mixture of experts (MoE) language model with a total of 309 billion parameters and 15 billion activated parameters. It is designed for high-speed inference and proxy workflows, adopting a novel hybrid attention architecture and multi-token prediction (MTP), significantly reducing inference costs while achieving state-of-the-art performance.
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.
MiMo V2 Flash: $0.58/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Grok 4.5: 1523; MiMo V2 Flash: 1446 (LMArena coding leaderboard).
Grok 4.5: 1.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
MiMo V2 Flash at 58.6 tok/s and Grok 4.5 at 26.5 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; MiMo V2 Flash accepts text input and supports web search.
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