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GLM-5.3-Flash vs MiMo-V2.5-Pro

GLM-5.3-Flash leads the LLM Stats Score 51.1 to 25.1. GLM-5.3-Flash is 2.3x cheaper per token.

Zhipu AI · Xiaomi · Updated for 2026

Which is better?

GLM-5.3-Flash leads the overall LLM Stats Score 51.1 to 25.1, ranking #12 overall.

In the 1 individual benchmarks reported for both models, GLM-5.3-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, GLM-5.3-Flash is roughly 2.3x 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

  • overall performance matters — it scores 51.1 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 2.3x cheaper per token
  • you want the most recent training data — it shipped Aug 2026

Choose MiMo-V2.5-Pro

  • you want predictable pricing at $0.43/M input and $0.87/M output

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
MiMo-V2.5-Pro
Xiaomi
Core performance indexes
LLM Stats Score
51.1
#12
25.1
#145
Reasoning
49.9
#14
24.5
#144
Coding
36.0
#24
31.1
#42
Agents
37.7
#10
22.2
#49
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.15 / M
$0.43 / M
Output price
$0.50 / M
$0.87 / 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-V2.5-Pro
Tool use
33.7#3
23.2#38
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for GLM-5.3-Flash · 31 for MiMo-V2.5-Pro

1 shared

GLM-5.3-Flash outperforms in 1 benchmarks (Humanity's Last Exam), while MiMo-V2.5-Pro is better at 0 benchmarks.

GLM-5.3-Flash significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3-Flash costs less

For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 2.9x cheaper than MiMo-V2.5-Pro ($0.43/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 1.7x cheaper than MiMo-V2.5-Pro ($0.87/1M tokens).

In conclusion, MiMo-V2.5-Pro is more expensive than GLM-5.3-Flash.*

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

Lowest available price from all providers
Mon Aug 31 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
Xiaomi
MiMo-V2.5-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

703.2B diff

MiMo-V2.5-Pro has 703.2B more parameters than GLM-5.3-Flash, making it 219.8% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Xiaomi
MiMo-V2.5-Pro
1.0Tparameters
320.0B
GLM-5.3-Flash
1023.2B
MiMo-V2.5-Pro

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 131,072 tokens.

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Xiaomi
MiMo-V2.5-Pro
Input1,048,576 tokens
Output131,072 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-5.3-Flash supports multimodal inputs, whereas MiMo-V2.5-Pro does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3-Flash

Text
Images
Audio
Video

MiMo-V2.5-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-5.3-Flash

MIT

Open weights

MiMo-V2.5-Pro

MIT

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while MiMo-V2.5-Pro was released on 2026-04-27.

GLM-5.3-Flash is 4 months newer than MiMo-V2.5-Pro.

GLM-5.3-Flash

Aug 26, 2026

4 days ago

4mo newer
MiMo-V2.5-Pro

Apr 27, 2026

4 months ago

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, Novita, ZAI. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.

GLM-5.3-Flash

deepinfra logo
Deepinfra
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-V2.5-Pro

xiaomi logo
Xiaomi
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* 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-5.3-Flash and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
MiMo-V2.5-Pro
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs MiMo-V2.5-Pro.

Which is better, GLM-5.3-Flash or MiMo-V2.5-Pro?

GLM-5.3-Flash leads the LLM Stats Score 51.1 to 25.1. GLM-5.3-Flash is made by Zhipu AI and MiMo-V2.5-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-5.3-Flash compare to MiMo-V2.5-Pro 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-V2.5-Pro scores FrontierSWE (Impl.): 100.0%, GSM8k: 99.6%, ARC-C: 97.2%, MMLU-Redux: 92.8%, C-Eval: 91.5%.

Is GLM-5.3-Flash cheaper than MiMo-V2.5-Pro?

GLM-5.3-Flash is 2.9x cheaper for input tokens. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via deepinfra. MiMo-V2.5-Pro costs $0.43/M input and $0.87/M output via xiaomi.

What are the context window sizes for GLM-5.3-Flash and MiMo-V2.5-Pro?

GLM-5.3-Flash supports 1.0M tokens and MiMo-V2.5-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-5.3-Flash and MiMo-V2.5-Pro?

Key differences include LLM Stats Score (51.1 vs 25.1), input pricing ($0.15 vs $0.43/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and MiMo-V2.5-Pro?

GLM-5.3-Flash is developed by Zhipu AI and MiMo-V2.5-Pro is developed by Xiaomi.

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