Model Comparison

Gemini 2.0 Flash vs GLM-4.5VWhich is better in 2026?

Comparing Gemini 2.0 Flash and GLM-4.5V across benchmarks, pricing, and capabilities.

Verdict: Gemini 2.0 Flash vs GLM-4.5V — which is better?

Gemini 2.0 Flash (by Google) and GLM-4.5V (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Gemini 2.0 Flash is roughly 5.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 2.0 Flash if…

  • cost matters — it's about 5.5x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose GLM-4.5V if…

  • you want the most recent training data — it shipped Aug 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.0 Flash and GLM-4.5V 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

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 5.5x cheaper than GLM-4.5V ($0.55/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 5.5x cheaper than GLM-4.5V ($2.19/1M tokens).

In conclusion, GLM-4.5V is more expensive than Gemini 2.0 Flash.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash accepts 1,048,576 input tokens compared to GLM-4.5V's 131,072 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash and GLM-4.5V support multimodal inputs.

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

Gemini 2.0 Flash

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash is licensed under a proprietary license, while GLM-4.5V uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.0 Flash

Proprietary

Closed source

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 8 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.5 years ago

GLM-4.5V

Aug 11, 2025

9 months ago

8mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while GLM-4.5V's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without GLM-4.5V's cutoff date.

Gemini 2.0 Flash

Aug 2024

GLM-4.5V

—

Provider Availability

Gemini 2.0 Flash is available from Google. GLM-4.5V is available from Fireworks, Novita.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
Zhipu AI
Has open weights
GoogleGemini 2.0 Flash
Zhipu AIGLM-4.5V
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
Zhipu AI
GLM-4.5V

FAQ

Common questions about Gemini 2.0 Flash vs GLM-4.5V.

Which is better, Gemini 2.0 Flash or GLM-4.5V?

Gemini 2.0 Flash (Google) and GLM-4.5V (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 2.0 Flash compare to GLM-4.5V in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%.

Is Gemini 2.0 Flash cheaper than GLM-4.5V?

Gemini 2.0 Flash is 5.5x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks.

What are the context window sizes for Gemini 2.0 Flash and GLM-4.5V?

Gemini 2.0 Flash supports 1.0M tokens and GLM-4.5V supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash and GLM-4.5V?

Key differences include context window (1.0M vs 131K), input pricing ($0.10 vs $0.55/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and GLM-4.5V?

Gemini 2.0 Flash is developed by Google and GLM-4.5V is developed by Zhipu AI.

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