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GLM-4.5-Air vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 24.4.

Zhipu AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 24.4, ranking #19 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-4.5-Air

  • you are already invested in the Zhipu AI ecosystem

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GLM-4.5-Air
Zhipu AI
MiMo-V2.6-Pro
Xiaomi
Core performance indexes
LLM Stats Score
24.4
#167
49.8
#19
Reasoning
23.8
#165
45.2
#30
Coding
11.4
#159
41.8
#9
Agents
5.9
#145
37.5
#13
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.43 / M
Output price
— / M
$0.87 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.5-Air
MiMo-V2.6-Pro
Tool use
20.1#53
28.0#21
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5-Air · 18 for MiMo-V2.6-Pro

No common benchmarks found

GLM-4.5-Air and MiMo-V2.6-Prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

914.0B diff

MiMo-V2.6-Pro has 914.0B more parameters than GLM-4.5-Air, making it 862.3% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
106.0B
GLM-4.5-Air
1020.0B
MiMo-V2.6-Pro

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Pro specifies input context (1,048,576 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas GLM-4.5-Air does not.

MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5-Air

Text
Images
Audio
Video

MiMo-V2.6-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-4.5-Air

MIT

Open weights

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 14 months newer than GLM-4.5-Air.

GLM-4.5-Air

Jul 28, 2025

1.2 years ago

MiMo-V2.6-Pro

Sep 22, 2026

0 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-4.5-Air and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs MiMo-V2.6-Pro.

Which is better, GLM-4.5-Air or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 24.4. GLM-4.5-Air is made by Zhipu AI and MiMo-V2.6-Pro is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-4.5-Air compare to MiMo-V2.6-Pro in benchmarks?

GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%. MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%.

What are the context window sizes for GLM-4.5-Air and MiMo-V2.6-Pro?

GLM-4.5-Air supports an unknown number of tokens and MiMo-V2.6-Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.5-Air and MiMo-V2.6-Pro?

Key differences include LLM Stats Score (24.4 vs 49.8), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and MiMo-V2.6-Pro?

GLM-4.5-Air is developed by Zhipu AI and MiMo-V2.6-Pro is developed by Xiaomi.

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