Model Comparison

Gemini 1.0 Pro vs o1-previewWhich is better in 2026?

o1-preview significantly outperforms across most benchmarks. Gemini 1.0 Pro is 35.0x cheaper per token.

Verdict: Gemini 1.0 Pro vs o1-preview — which is better?

Gemini 1.0 Pro (by Google) and o1-preview (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.

Gemini 1.0 Pro outperforms in 0 benchmarks, while o1-preview is better at 3 benchmarks (GPQA, MATH, MMLU). o1-preview significantly outperforms across most benchmarks.

On price, Gemini 1.0 Pro is roughly 35.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

o1-preview also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.0 Pro if…

  • cost matters — it's about 35.0x cheaper per token

Choose o1-preview if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Sep 2024

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while o1-preview is better at 3 benchmarks (GPQA, MATH, MMLU).

o1-preview significantly outperforms across most benchmarks.

Thu Jul 02 2026 • llm-stats.com

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 30.0x cheaper than o1-preview ($15.00/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 40.0x cheaper than o1-preview ($60.00/1M tokens).

In conclusion, o1-preview is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Thu Jul 02 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
OpenAI
o1-preview
Input tokens$15.00
Output tokens$60.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1-preview accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. o1-preview can generate longer responses up to 32,768 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Thu Jul 02 2026 • llm-stats.com

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

o1-preview

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while o1-preview was released on 2024-09-12.

o1-preview is 7 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.4 years ago

o1-preview

Sep 12, 2024

1.8 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while o1-preview'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 o1-preview's cutoff date.

Gemini 1.0 Pro

Feb 2024

o1-preview

—

Provider Availability

Gemini 1.0 Pro is available from Google. o1-preview is available from OpenAI, Azure.

Gemini 1.0 Pro

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

o1-preview

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
azure logo
Azure
Input Price:Input: $16.50/1MOutput Price:Output: $66.00/1M
* 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 (128,000 tokens)
Higher GPQA score (73.3% vs 27.9%)
Higher MATH score (85.5% vs 32.6%)
Higher MMLU score (90.8% vs 71.8%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and o1-preview side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
o1-preview
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
OpenAI
o1-preview

FAQ

Common questions about Gemini 1.0 Pro vs o1-preview.

Which is better, Gemini 1.0 Pro or o1-preview?

o1-preview significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and o1-preview is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to o1-preview in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%.

Is Gemini 1.0 Pro cheaper than o1-preview?

Gemini 1.0 Pro is 30.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. o1-preview costs $15.00/M input and $60.00/M output via openai.

What are the context window sizes for Gemini 1.0 Pro and o1-preview?

Gemini 1.0 Pro supports 33K tokens and o1-preview 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 1.0 Pro and o1-preview?

Key differences include context window (33K vs 128K), input pricing ($0.50 vs $15.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and o1-preview?

Gemini 1.0 Pro is developed by Google and o1-preview is developed by OpenAI.

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