Model Comparison

GLM-4.5V vs MiMo-V2-Flash

Comparing GLM-4.5V and MiMo-V2-Flash across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and MiMo-V2-Flash don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 5.5x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 7.3x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

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

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

Lowest available price from all providers
Mon Mar 30 2026 • llm-stats.com
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

201.0B diff

MiMo-V2-Flash has 201.0B more parameters than GLM-4.5V, making it 186.1% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Xiaomi
MiMo-V2-Flash
309.0Bparameters
108.0B
GLM-4.5V
309.0B
MiMo-V2-Flash

Context Window

Maximum input and output token capacity

MiMo-V2-Flash accepts 256,000 input tokens compared to GLM-4.5V's 131,072 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Mon Mar 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5V

Text
Images
Audio
Video

MiMo-V2-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-4.5V

MIT

Open weights

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while MiMo-V2-Flash was released on 2025-12-16.

MiMo-V2-Flash is 4 months newer than GLM-4.5V.

GLM-4.5V

Aug 11, 2025

7 months ago

MiMo-V2-Flash

Dec 16, 2025

3 months ago

4mo 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-4.5V is available from Fireworks, Novita. MiMo-V2-Flash is available from Xiaomi.

GLM-4.5V

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-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Supports multimodal inputs
Xiaomi
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5V
Xiaomi
MiMo-V2-Flash

FAQ

Common questions about GLM-4.5V vs MiMo-V2-Flash

GLM-4.5V (Zhipu AI) and MiMo-V2-Flash (Xiaomi) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.
MiMo-V2-Flash is 5.5x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.
GLM-4.5V supports 131K tokens and MiMo-V2-Flash supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 256K), input pricing ($0.55 vs $0.10/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
GLM-4.5V is developed by Zhipu AI and MiMo-V2-Flash is developed by Xiaomi.