Model Comparison

Gemini 3.1 Pro vs GLM-4.7-FlashWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. GLM-4.7-Flash is 36.9x cheaper per token.

Verdict: Gemini 3.1 Pro vs GLM-4.7-Flash — which is better?

Gemini 3.1 Pro (by Google) and GLM-4.7-Flash (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 3.1 Pro outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.7-Flash is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, GLM-4.7-Flash is roughly 36.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose GLM-4.7-Flash if…

  • cost matters — it's about 36.9x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 3.1 Pro outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.7-Flash is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.7-Flash costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 35.7x more expensive than GLM-4.7-Flash ($0.07/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 37.5x more expensive than GLM-4.7-Flash ($0.40/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than GLM-4.7-Flash.*

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

Lowest available price from all providers
Sat Jun 27 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Zhipu AI
GLM-4.7-Flash
Input tokens$0.07
Output tokens$0.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to GLM-4.7-Flash's 128,000 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas GLM-4.7-Flash does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

GLM-4.7-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while GLM-4.7-Flash uses MIT.

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

Gemini 3.1 Pro

Proprietary

Closed source

GLM-4.7-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GLM-4.7-Flash was released on 2026-01-19.

Gemini 3.1 Pro is 1 month newer than GLM-4.7-Flash.

Gemini 3.1 Pro

Feb 19, 2026

4 months ago

1mo newer
GLM-4.7-Flash

Jan 19, 2026

5 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-4.7-Flash's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-4.7-Flash's cutoff date.

Gemini 3.1 Pro

Jan 2025

GLM-4.7-Flash

—

Provider Availability

Gemini 3.1 Pro is available from Google. GLM-4.7-Flash is available from ZAI.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

GLM-4.7-Flash

z logo
Unknown Organization
Input Price:Input: $0.07/1MOutput Price:Output: $0.40/1M
* 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)
Supports multimodal inputs
Higher BrowseComp score (85.9% vs 42.8%)
Higher GPQA score (94.3% vs 75.2%)
Higher Humanity's Last Exam score (51.4% vs 14.4%)
Higher SWE-Bench Verified score (80.6% vs 59.2%)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.1 Pro and GLM-4.7-Flash side-by-side, then vote on the output you prefer.

Gemini 3.1 Pro
✓ Preferred
GLM-4.7-Flash
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Zhipu AI
GLM-4.7-Flash

FAQ

Common questions about Gemini 3.1 Pro vs GLM-4.7-Flash.

Which is better, Gemini 3.1 Pro or GLM-4.7-Flash?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and GLM-4.7-Flash is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to GLM-4.7-Flash in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%.

Is Gemini 3.1 Pro cheaper than GLM-4.7-Flash?

GLM-4.7-Flash is 35.7x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. GLM-4.7-Flash costs $0.07/M input and $0.40/M output via z.

What are the context window sizes for Gemini 3.1 Pro and GLM-4.7-Flash?

Gemini 3.1 Pro supports 1.0M tokens and GLM-4.7-Flash supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and GLM-4.7-Flash?

Key differences include context window (1.0M vs 128K), input pricing ($2.50 vs $0.07/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and GLM-4.7-Flash?

Gemini 3.1 Pro is developed by Google and GLM-4.7-Flash is developed by Zhipu AI.

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