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GLM-5 vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 37.1.

Zhipu AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 37.1, ranking #19 overall.

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

Choose GLM-5

  • you want predictable pricing at $1.00/M input and $3.20/M output

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-5
Zhipu AI
MiMo-V2.6-Pro
Xiaomi
Core performance indexes
LLM Stats Score
37.1
#73
49.8
#19
Reasoning
37.4
#70
45.2
#30
Coding
26.2
#68
41.8
#9
Agents
19.6
#66
37.5
#13
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.00 / M
— / M
Output price
$3.20 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5
MiMo-V2.6-Pro
Tool use
17.6#72
28.0#21
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GLM-5 · 3 for MiMo-V2.6-Pro

No common benchmarks found

GLM-5 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

276.0B diff

MiMo-V2.6-Pro has 276.0B more parameters than GLM-5, making it 37.1% larger.

Zhipu AI
GLM-5
744.0Bparameters
Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
744.0B
GLM-5
1020.0B
MiMo-V2.6-Pro

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2.6-Pro
Input- 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-5 does not.

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

GLM-5

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-5

MIT

Open weights

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 7 months newer than GLM-5.

GLM-5

Feb 11, 2026

7 months ago

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

7mo 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-5 and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about GLM-5 vs MiMo-V2.6-Pro.

Which is better, GLM-5 or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 37.1. GLM-5 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-5 compare to MiMo-V2.6-Pro in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%.

What are the context window sizes for GLM-5 and MiMo-V2.6-Pro?

GLM-5 supports 200K tokens and MiMo-V2.6-Pro supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and MiMo-V2.6-Pro?

Key differences include LLM Stats Score (37.1 vs 49.8), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and MiMo-V2.6-Pro?

GLM-5 is developed by Zhipu AI and MiMo-V2.6-Pro is developed by Xiaomi.

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