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Gemini 1.0 Pro vs GLM-5.3

Comparing Gemini 1.0 Pro and GLM-5.3 across benchmarks, pricing, and capabilities.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 1.0 Pro and GLM-5.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Gemini 1.0 Pro is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 1.0 Pro

  • cost matters — it's about 2.9x cheaper per token

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
GLM-5.3
Zhipu AI
Benchmark wins
—
—
Input price
$0.50 / M
$1.40 / M
Output price
$1.50 / M
$4.40 / M
Context window
32,760
1,000,000
Released
Feb 2024
Aug 2026
License
Proprietary
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 1.0 Pro and GLM-5.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 2.8x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 2.9x cheaper than GLM-5.3 ($4.40/1M tokens).

In conclusion, GLM-5.3 is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. GLM-5.3 can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 30 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.5 years ago

GLM-5.3

Aug 14, 2026

1 weeks ago

2.5yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while GLM-5.3'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-5.3's cutoff date.

Gemini 1.0 Pro

Feb 2024

GLM-5.3

—

Provider Availability

Gemini 1.0 Pro is available from Google. GLM-5.3 is available from ZAI.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and GLM-5.3 side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs GLM-5.3.

Which is better, Gemini 1.0 Pro or GLM-5.3?

Gemini 1.0 Pro (Google) and GLM-5.3 (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 1.0 Pro compare to GLM-5.3 in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is Gemini 1.0 Pro cheaper than GLM-5.3?

Gemini 1.0 Pro is 2.8x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. GLM-5.3 costs $1.40/M input and $4.40/M output via z.

What are the context window sizes for Gemini 1.0 Pro and GLM-5.3?

Gemini 1.0 Pro supports 33K tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and GLM-5.3?

Key differences include context window (33K vs 1.0M), input pricing ($0.50 vs $1.40/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and GLM-5.3?

Gemini 1.0 Pro is developed by Google and GLM-5.3 is developed by Zhipu AI.

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