Model Comparison

Gemini 3 Pro vs GLM-5V-TurboWhich is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks. GLM-5V-Turbo is 2.4x cheaper per token.

Verdict: Gemini 3 Pro vs GLM-5V-Turbo — which is better?

Gemini 3 Pro (by Google) and GLM-5V-Turbo (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 Pro outperforms in 1 benchmarks (FACTS Grounding), while GLM-5V-Turbo is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

On price, GLM-5V-Turbo is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3 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 Pro if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window

Choose GLM-5V-Turbo if…

  • cost matters — it's about 2.4x cheaper per token
  • you want the most recent training data — it shipped Apr 2026

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3 Pro outperforms in 1 benchmarks (FACTS Grounding), while GLM-5V-Turbo is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Sun Jul 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5V-Turbo costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 1.7x more expensive than GLM-5V-Turbo ($1.20/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 3.0x more expensive than GLM-5V-Turbo ($4.00/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than GLM-5V-Turbo.*

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

Lowest available price from all providers
Sun Jul 05 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Zhipu AI
GLM-5V-Turbo
Input tokens$1.20
Output tokens$4.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to GLM-5V-Turbo's 200,000 tokens. GLM-5V-Turbo can generate longer responses up to 128,000 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Sun Jul 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Pro and GLM-5V-Turbo support multimodal inputs.

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

Gemini 3 Pro

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3 Pro

Proprietary

Closed source

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while GLM-5V-Turbo was released on 2026-04-02.

GLM-5V-Turbo is 5 months newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

7 months ago

GLM-5V-Turbo

Apr 2, 2026

3 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-5V-Turbo's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-5V-Turbo's cutoff date.

Gemini 3 Pro

Jan 2025

GLM-5V-Turbo

Provider Availability

Gemini 3 Pro is available from Google. GLM-5V-Turbo is available from ZAI.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

GLM-5V-Turbo

z logo
Unknown Organization
Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,048,576 tokens)
Higher FACTS Grounding score (70.5% vs 58.6%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3 Pro and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

Gemini 3 Pro
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about Gemini 3 Pro vs GLM-5V-Turbo.

Which is better, Gemini 3 Pro or GLM-5V-Turbo?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and GLM-5V-Turbo 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 Pro compare to GLM-5V-Turbo in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

Is Gemini 3 Pro cheaper than GLM-5V-Turbo?

GLM-5V-Turbo is 1.7x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. GLM-5V-Turbo costs $1.20/M input and $4.00/M output via z.

What are the context window sizes for Gemini 3 Pro and GLM-5V-Turbo?

Gemini 3 Pro supports 1.0M tokens and GLM-5V-Turbo supports 200K 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 Pro and GLM-5V-Turbo?

Key differences include context window (1.0M vs 200K), input pricing ($2.00 vs $1.20/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and GLM-5V-Turbo?

Gemini 3 Pro is developed by Google and GLM-5V-Turbo is developed by Zhipu AI.