Model Comparison

Gemini 1.0 Pro vs o3-proWhich is better in 2026?

Comparing Gemini 1.0 Pro and o3-pro across benchmarks, pricing, and capabilities.

Verdict: Gemini 1.0 Pro vs o3-pro — which is better?

Gemini 1.0 Pro (by Google) and o3-pro (by OpenAI) 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 46.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

o3-pro also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.0 Pro if…

  • cost matters — it's about 46.7x cheaper per token

Choose o3-pro if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Jun 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 1.0 Pro and o3-prodon'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, Gemini 1.0 Pro ($0.50/1M tokens) is 40.0x cheaper than o3-pro ($20.00/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 53.3x cheaper than o3-pro ($80.00/1M tokens).

In conclusion, o3-pro is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Wed Jun 24 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
OpenAI
o3-pro
Input tokens$20.00
Output tokens$80.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3-pro accepts 200,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. o3-pro can generate longer responses up to 100,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
OpenAI
o3-pro
Input200,000 tokens
Output100,000 tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o3-pro supports multimodal inputs, whereas Gemini 1.0 Pro does not.

o3-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

o3-pro

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 1.0 Pro

Proprietary

Closed source

o3-pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while o3-pro was released on 2025-06-10.

o3-pro is 16 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.4 years ago

o3-pro

Jun 10, 2025

1.0 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while o3-pro has a cutoff of 2024-05-31.

o3-pro has more recent training data (up to 2024-05-31), making it potentially better informed about events through that date compared to Gemini 1.0 Pro (2024-02-01).

Gemini 1.0 Pro

Feb 2024

o3-pro

May 2024

3 mo newer

Provider Availability

Gemini 1.0 Pro is available from Google. o3-pro is available from OpenAI.

Gemini 1.0 Pro

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

o3-pro

openai logo
OpenAI
Input Price:Input: $20.00/1MOutput Price:Output: $80.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
OpenAI
o3-pro

FAQ

Common questions about Gemini 1.0 Pro vs o3-pro.

Which is better, Gemini 1.0 Pro or o3-pro?

Gemini 1.0 Pro (Google) and o3-pro (OpenAI) 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 o3-pro in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%.

Is Gemini 1.0 Pro cheaper than o3-pro?

Gemini 1.0 Pro is 40.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. o3-pro costs $20.00/M input and $80.00/M output via openai.

What are the context window sizes for Gemini 1.0 Pro and o3-pro?

Gemini 1.0 Pro supports 33K tokens and o3-pro 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 1.0 Pro and o3-pro?

Key differences include context window (33K vs 200K), input pricing ($0.50 vs $20.00/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and o3-pro?

Gemini 1.0 Pro is developed by Google and o3-pro is developed by OpenAI.

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