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GLM-4.5V vs MiMo-V2-Flash

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

Zhipu AI · Xiaomi · Updated for 2026

Which is better?

GLM-4.5V and MiMo-V2-Flash trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, MiMo-V2-Flash is roughly 6.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2-Flash also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-4.5V

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose MiMo-V2-Flash

  • cost matters — it's about 6.4x cheaper per token
  • you process long inputs — it offers a 256,000 token context window
  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

GLM-4.5V
Zhipu AI
MiMo-V2-Flash
Xiaomi
Benchmark wins
—
—
Input price
$0.55 / M
$0.10 / M
Output price
$2.19 / M
$0.30 / M
Context window
131,072
256,000
Released
Aug 2025
Dec 2025
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

Arena Performance

Playground indexes and blind preference scores

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
Tue Aug 25 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
Tue Aug 25 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

1.0 years ago

MiMo-V2-Flash

Dec 16, 2025

8 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

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

GLM-4.5V
✓ Preferred
MiMo-V2-Flash
Open in Playground

FAQ

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

Which is better, GLM-4.5V or 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.

How does GLM-4.5V compare to MiMo-V2-Flash in benchmarks?

MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.

Is GLM-4.5V cheaper than MiMo-V2-Flash?

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.

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

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.

What are the main differences between GLM-4.5V and MiMo-V2-Flash?

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.

Who makes GLM-4.5V and MiMo-V2-Flash?

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

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