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GLM-4.7-Flash vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 23.5. GLM-4.7-Flash is 1.1x 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 23.5, ranking #29 overall.

On price, GLM-4.7-Flash is roughly 1.1x 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-4.7-Flash

  • cost matters — it's about 1.1x cheaper per token

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
  • 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.

Core performance indexes
23.5
#178
45.6
#29
23.5
#167
42.5
#45
4.2
#213
36.7
#21
4.4
#157
33.1
#26
Cost, coverage & limits
Benchmark wins
Input price
$0.07 / M
$0.14 / M
Output price
$0.40 / M
$0.28 / M
Context window
128,000
1,048,576

Individual benchmarks

6 reported for GLM-4.7-Flash · 16 for MiMo-V2.6-Flash

No common benchmarks found

GLM-4.7-Flash 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

GLM-4.7-Flash costs less

For input processing, GLM-4.7-Flash ($0.07/1M tokens) is 2.0x cheaper than MiMo-V2.6-Flash ($0.14/1M tokens).

For output processing, GLM-4.7-Flash ($0.40/1M tokens) is 1.4x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).

In conclusion, MiMo-V2.6-Flash is more expensive than GLM-4.7-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-4.7-Flash
Input tokens$0.07
Output tokens$0.40
Best providerUnknown Organization
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

279.0B diff

MiMo-V2.6-Flash has 279.0B more parameters than GLM-4.7-Flash, making it 930.0% larger.

Zhipu AI
GLM-4.7-Flash
30.0Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
30.0B
GLM-4.7-Flash
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-4.7-Flash's 128,000 tokens. Only GLM-4.7-Flash specifies output context (16,384 tokens).

Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 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-4.7-Flash does not.

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

GLM-4.7-Flash

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-4.7-Flash

MIT

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

GLM-4.7-Flash was released on 2026-01-19, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 8 months newer than GLM-4.7-Flash.

GLM-4.7-Flash

Jan 19, 2026

8 months ago

MiMo-V2.6-Flash

Sep 22, 2026

0 days ago

8mo 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-4.7-Flash is available from ZAI. MiMo-V2.6-Flash is available from Xiaomi.

GLM-4.7-Flash

z logo
Unknown Organization
Input Price:Input: $0.07/1MOutput Price:Output: $0.40/1M

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-4.7-Flash and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

GLM-4.7-Flash
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about GLM-4.7-Flash vs MiMo-V2.6-Flash.

Which is better, GLM-4.7-Flash or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 23.5. GLM-4.7-Flash 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-4.7-Flash compare to MiMo-V2.6-Flash in benchmarks?

GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%. 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-4.7-Flash cheaper than MiMo-V2.6-Flash?

GLM-4.7-Flash is 2.0x cheaper for input tokens. GLM-4.7-Flash costs $0.07/M input and $0.40/M output via z. MiMo-V2.6-Flash costs $0.14/M input and $0.28/M output via xiaomi.

What are the context window sizes for GLM-4.7-Flash and MiMo-V2.6-Flash?

GLM-4.7-Flash supports 128K 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-4.7-Flash and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (23.5 vs 45.6), context window (128K vs 1.0M), input pricing ($0.07 vs $0.14/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7-Flash and MiMo-V2.6-Flash?

GLM-4.7-Flash is developed by Zhipu AI and MiMo-V2.6-Flash is developed by Xiaomi.