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GLM-5.3-Flash vs MiMo-V2.6-Flash

GLM-5.3-Flash and MiMo-V2.6-Flash are closely matched at 48.8 and 44.8 on the LLM Stats Score. MiMo-V2.6-Flash is 1.4x cheaper per token.

Zhipu AI · Xiaomi · Updated for 2026

Which is better?

GLM-5.3-Flash and MiMo-V2.6-Flash are closely matched on the overall LLM Stats Score at 48.8 and 44.8.

In the 3 individual benchmarks reported for both models, MiMo-V2.6-Flash wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, MiMo-V2.6-Flash is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose GLM-5.3-Flash

  • you want predictable pricing at $0.15/M input and $0.50/M output

Choose MiMo-V2.6-Flash

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • cost matters — it's about 1.4x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
48.8
#28
44.8
#45
Reasoning
48.0
#23
43.6
#50
Coding
31.6
#55
34.0
#37
Agents
34.8
#26
32.0
#38
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.15 / M
$0.14 / M
Output price
$0.50 / M
$0.28 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5.3-Flash
MiMo-V2.6-Flash
Tool use
29.5#16
26.4#33
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for GLM-5.3-Flash · 16 for MiMo-V2.6-Flash

3 shared

GLM-5.3-Flash outperforms in 0 benchmarks, while MiMo-V2.6-Flash is better at 3 benchmarks (Agents' Last Exam, DeepSWE 1.1, Terminal-Bench 2.1).

MiMo-V2.6-Flash significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

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-5.3-Flash ($0.15/1M tokens) is 1.1x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 1.8x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).

In conclusion, GLM-5.3-Flash is more expensive than MiMo-V2.6-Flash.*

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

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
Xiaomi
MiMo-V2.6-Flash
Input tokens$0.14
Output tokens$0.28
Best providerXiaomi
Notice missing or incorrect data?

Model Size

Parameter count comparison

11.0B diff

GLM-5.3-Flash has 11.0B more parameters than MiMo-V2.6-Flash, making it 3.6% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
320.0B
GLM-5.3-Flash
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Only GLM-5.3-Flash specifies output context (1,048,576 tokens).

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output1,048,576 tokens
Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-5.3-Flash and MiMo-V2.6-Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-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-5.3-Flash

MIT

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 1 month newer than GLM-5.3-Flash.

GLM-5.3-Flash

Aug 26, 2026

1 months ago

MiMo-V2.6-Flash

Sep 22, 2026

3 weeks ago

3w 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-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI. MiMo-V2.6-Flash is available from Xiaomi.

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
friendli logo
FriendliAI
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

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?

Judge for yourself.

Run your own prompts against GLM-5.3-Flash and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs MiMo-V2.6-Flash.

Which is better, GLM-5.3-Flash or MiMo-V2.6-Flash?

GLM-5.3-Flash and MiMo-V2.6-Flash are closely matched on the LLM Stats Score at 48.8 and 44.8. GLM-5.3-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-5.3-Flash compare to MiMo-V2.6-Flash in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. 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-5.3-Flash cheaper than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is 1.1x cheaper for input tokens. GLM-5.3-Flash costs $0.15/M input and $0.50/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-5.3-Flash and MiMo-V2.6-Flash?

GLM-5.3-Flash supports 1.0M 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-5.3-Flash and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (48.8 vs 44.8), input pricing ($0.15 vs $0.14/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and MiMo-V2.6-Flash?

GLM-5.3-Flash is developed by Zhipu AI and MiMo-V2.6-Flash is developed by Xiaomi.

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