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GLM-4.5 vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 27.7. MiMo-V2.6-Flash is 4.0x cheaper per token.

Zhipu AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 27.7, ranking #29 overall.

On price, MiMo-V2.6-Flash is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.6-Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GLM-4.5

  • you want predictable pricing at $0.40/M input and $1.60/M output

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.6 and ranks #29 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 4.0x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GLM-4.5
Zhipu AI
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
27.7
#143
45.6
#29
Reasoning
27.1
#143
42.5
#45
Coding
16.1
#130
36.7
#21
Agents
9.8
#123
33.1
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
$0.14 / M
Output price
$1.60 / M
$0.28 / M
Context window
131,072
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.5
MiMo-V2.6-Flash
Tool use
21.3#48
24.7#29
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5 · 16 for MiMo-V2.6-Flash

No common benchmarks found

GLM-4.5 and MiMo-V2.6-Flashdon'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

Pricing Analysis

Price comparison per million tokens

MiMo-V2.6-Flash costs less

For input processing, GLM-4.5 ($0.40/1M tokens) is 2.9x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).

For output processing, GLM-4.5 ($1.60/1M tokens) is 5.7x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).

In conclusion, GLM-4.5 is more expensive than MiMo-V2.6-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
Xiaomi
MiMo-V2.6-Flash
Input tokens$0.14
Output tokens$0.28
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

46.0B diff

GLM-4.5 has 46.0B more parameters than MiMo-V2.6-Flash, making it 14.9% larger.

Zhipu AI
GLM-4.5
355.0Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
355.0B
GLM-4.5
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to GLM-4.5's 131,072 tokens. Only GLM-4.5 specifies output context (131,072 tokens).

Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GLM-4.5

Text
Images
Audio
Video

MiMo-V2.6-Flash

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

MIT

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

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

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

GLM-4.5

Jul 28, 2025

1.2 years ago

MiMo-V2.6-Flash

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

Provider Availability

GLM-4.5 is available from DeepInfra, Fireworks, Novita. MiMo-V2.6-Flash is available from Xiaomi.

GLM-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

MiMo-V2.6-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

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

FAQ

Common questions about GLM-4.5 vs MiMo-V2.6-Flash.

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

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 27.7. GLM-4.5 is made by Zhipu AI and MiMo-V2.6-Flash 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 compare to MiMo-V2.6-Flash in benchmarks?

GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%. MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%.

Is GLM-4.5 cheaper than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is 2.9x cheaper for input tokens. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra. MiMo-V2.6-Flash costs $0.14/M input and $0.28/M output via xiaomi.

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

GLM-4.5 supports 131K tokens and MiMo-V2.6-Flash 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 and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (27.7 vs 45.6), context window (131K vs 1.0M), input pricing ($0.40 vs $0.14/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5 and MiMo-V2.6-Flash?

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

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