Models

GLM 5.2 vs MiMo V2 Flash

Output tokens cost $3.94 per million on GLM 5.2 and $0.58 per million on MiMo V2 Flash. Input tokens cost $1.13 per million on GLM 5.2 and $0.19 per million on MiMo V2 Flash. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.04 per million on MiMo V2 Flash. Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 3.9s on MiMo V2 Flash. Measured output throughput is 38.2 tok/s on GLM 5.2 and 58.6 tok/s on MiMo V2 Flash. On the LMArena coding leaderboard GLM 5.2 scores 1505 and MiMo V2 Flash scores 1446.

Z.AIGLM 5.2XiaomiMiMo V2 Flash
Z.AI logo
GLM 5.2
Z.AI · text → text

GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.

Input$1.13 /M
Output$3.94 /M
Xiaomi logo
MiMo V2 Flash
Xiaomi · text → text

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.

Input$0.19 /M
Output$0.58 /M

Pricing & Specifications

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

GLM 5.2
MiMo V2 Flash
Input /M
$1.13
$0.19
Output /M
$3.94
$0.58
Cache read /M
$0.28
$0.04
Context length
1,000,000
0
Max output
128,000
0
Time to First Token
1.1 s
3.9 s
Throughput
38.2 tok/s
58.6 tok/s
Modalities
text
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
web
API Formats
chat_completions · claude_api
Released
June 16, 2026
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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.

glm-5.2mimo-v2-flash

Tokens / day

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Requests / day

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Performance Past 3 Days

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

glm-5.2mimo-v2-flash

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

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

Text
glm-5.2mimo-v2-flash
1340140014601520
Overall
13931470
Coding
14461505
Math
13791475
Hard prompts
14141488
Instruction following
13841462
Multi-turn
13891470
Creative writing
13581450
Longer query
14051479
Chinese
14431516
English
14171477
WebDev Arena
glm-5.2mimo-v2-flash
1280138014801580
Overall
13371582
React
13121594
HTML
13611537
Gaming
16171617
Simulations
16061606
Data analytics
15421542

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
$20.14 /mo
GLM 5.2
$127 /mo

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

FAQ

Which is cheaper: GLM 5.2, MiMo V2 Flash?

MiMo V2 Flash: $0.58/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1505; MiMo V2 Flash: 1446 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 1.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

Which one generates tokens faster?

MiMo V2 Flash at 58.6 tok/s and GLM 5.2 at 38.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; MiMo V2 Flash accepts text input and supports web search.

Can I call GLM 5.2 and MiMo V2 Flash 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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