Model Comparison

GLM-5 vs Gemini 1.0 ProWhich is better in 2026?

Comparing GLM-5 and Gemini 1.0 Pro across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Gemini 1.0 Pro — which is better?

GLM-5 (by Zhipu AI) and Gemini 1.0 Pro (by Google) 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 1.0 Pro is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.0 Pro if…

  • cost matters — it's about 2.1x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Gemini 1.0 Pro 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 1.0 Pro costs less

For input processing, GLM-5 ($1.00/1M tokens) is 2.0x more expensive than Gemini 1.0 Pro ($0.50/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 2.1x more expensive than Gemini 1.0 Pro ($1.50/1M tokens).

In conclusion, GLM-5 is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Gemini 1.0 Pro uses a proprietary license.

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

GLM-5

MIT

Open weights

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Gemini 1.0 Pro was released on 2024-02-15.

GLM-5 is 24 months newer than Gemini 1.0 Pro.

GLM-5

Feb 11, 2026

3 months ago

2.0yr newer
Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while GLM-5's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Gemini 1.0 Pro

Feb 2024

Provider Availability

GLM-5 is available from FriendliAI, ZAI. Gemini 1.0 Pro is available from Google.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Has open weights
Google
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Google
Gemini 1.0 Pro

FAQ

Common questions about GLM-5 vs Gemini 1.0 Pro.

Which is better, GLM-5 or Gemini 1.0 Pro?

GLM-5 (Zhipu AI) and Gemini 1.0 Pro (Google) 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-5 compare to Gemini 1.0 Pro in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%.

Is GLM-5 cheaper than Gemini 1.0 Pro?

Gemini 1.0 Pro is 2.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google.

What are the context window sizes for GLM-5 and Gemini 1.0 Pro?

GLM-5 supports 200K tokens and Gemini 1.0 Pro supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and Gemini 1.0 Pro?

Key differences include context window (200K vs 33K), input pricing ($1.00 vs $0.50/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Gemini 1.0 Pro?

GLM-5 is developed by Zhipu AI and Gemini 1.0 Pro is developed by Google.

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