Model Comparison

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

GLM-4.5 significantly outperforms across most benchmarks.

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

Gemini 2.0 Flash Thinking (by Google) and GLM-4.5 (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.

Gemini 2.0 Flash Thinking outperforms in 0 benchmarks, while GLM-4.5 is better at 2 benchmarks (AIME 2024, GPQA). GLM-4.5 significantly outperforms across most benchmarks.

Choose Gemini 2.0 Flash Thinking if…

  • you are already invested in the Google ecosystem

Choose GLM-4.5 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash Thinking outperforms in 0 benchmarks, while GLM-4.5 is better at 2 benchmarks (AIME 2024, GPQA).

GLM-4.5 significantly outperforms across most benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GLM-4.5 specifies input context (131,072 tokens). Only GLM-4.5 specifies output context (131,072 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Wed Jul 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas GLM-4.5 does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

GLM-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

Gemini 2.0 Flash Thinking

Proprietary

Closed source

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 6 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.5 years ago

GLM-4.5

Jul 28, 2025

11 months ago

6mo newer

Knowledge Cutoff

When training data ends

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

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

Gemini 2.0 Flash Thinking

Aug 2024

GLM-4.5

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Zhipu AI
Larger context window (131,072 tokens)
Has open weights
Higher AIME 2024 score (91.0% vs 73.3%)
Higher GPQA score (79.1% vs 74.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and GLM-4.5 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
GLM-4.5
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
Zhipu AI
GLM-4.5

FAQ

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

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

GLM-4.5 significantly outperforms across most benchmarks. Gemini 2.0 Flash Thinking is made by Google and GLM-4.5 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

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

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.

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

Gemini 2.0 Flash Thinking supports an unknown number of tokens and GLM-4.5 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 Thinking and GLM-4.5?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and GLM-4.5?

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

Related comparisons