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Grok 4.5 vs MiMo V2 Flash (free)

Compare Grok 4.5 from Grok and MiMo V2 Flash (free) from Xiaomi on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

GrokGrok 4.5XiaomiMiMo V2 Flash (free)
Grok logo
Grok 4.5
Grok · text, image → text

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.

Input$2 /M
Output$6 /M
Cache read$0.5 /M
Xiaomi logo
MiMo V2 Flash (free)
Xiaomi · text → text

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It adopts a MoE architecture with 309B total parameters and 15B active parameters per inference, balancing performance and efficiency. The model features a hybrid attention architecture, supports a hybrid-thinking toggle, and offers a 256K context window, enabling strong capabilities in complex reasoning, code generation, and agent-based scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks #1 among open-source models globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much.

Input$0 /M
Output$0 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Grok 4.5
MiMo V2 Flash (free)
Input /M
$2
$0
Output /M
$6
$0
Cache read /M
$0.5
-
Context length
500,000
256,000
Max output
500,000
65,536
Time to First Token
1.6 s
1.6 s
Throughput
17.6 tok/s
130.4 tok/s
Modalities
textimage
text
Supported Parameters
thinkingtoolsfunction callingstructured outputslong context
web
API Formats
Released
July 2026
December 16, 2025

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.

grok-4.5mimo-v2-flash-free

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

grok-4.5mimo-v2-flash-free

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
grok-4.5mimo-v2-flash-free
13401380142014601500
Overall
13931466
Coding
14451445
Math
13801380
Hard prompts
14141414
Instruction following
13841384
Multi-turn
13881388
Creative writing
13591359
Longer query
14051405
Chinese
14451445
English
14171417
WebDev Arena
grok-4.5mimo-v2-flash-free
1280136014401520
Overall
13371553
React
13121312
HTML
13621362
Gaming
13331333
Simulations
13251325
Data analytics
13301330

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

MiMo V2 Flash (free)
$0.00 /mo
Grok 4.5
$210 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which responds faster?

MiMo V2 Flash (free): 1.6s 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 MiMo V2 Flash (free) accepts 256,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 65,536 tokens on MiMo V2 Flash (free).

Which one generates tokens faster?

MiMo V2 Flash (free) at 130.4 tok/s and Grok 4.5 at 17.6 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; MiMo V2 Flash (free) accepts text input and supports web search.

Can I call Grok 4.5 and MiMo V2 Flash (free) 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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