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Model Comparison

Gemini 1.5 Pro vs o1

o1 significantly outperforms across most benchmarks. Gemini 1.5 Pro is 6.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Gemini 1.5 Pro outperforms in 0 benchmarks, while o1 is better at 8 benchmarks (GPQA, GSM8k, HumanEval, MATH, MathVista, MGSM, MMLU, MMMU).

o1 significantly outperforms across most benchmarks.

Thu Apr 23 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

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Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Pro costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 6.0x cheaper than o1 ($15.00/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 6.0x cheaper than o1 ($60.00/1M tokens).

In conclusion, o1 is more expensive than Gemini 1.5 Pro.*

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

Lowest available price from all providers
Thu Apr 23 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to o1's 200,000 tokens. o1 can generate longer responses up to 100,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Thu Apr 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas o1 does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

o1

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 1.5 Pro

Proprietary

Closed source

o1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while o1 was released on 2024-12-17.

o1 is 8 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.0 years ago

o1

Dec 17, 2024

1.3 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while o1's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without o1's cutoff date.

Gemini 1.5 Pro

Nov 2023

o1

—

Provider Availability

Gemini 1.5 Pro is available from Google. o1 is available from Azure, OpenAI.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (2,097,152 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
OpenAI
Higher GPQA score (78.0% vs 59.1%)
Higher GSM8k score (97.1% vs 90.8%)
Higher HumanEval score (88.1% vs 84.1%)
Higher MATH score (96.4% vs 86.5%)
Higher MathVista score (71.8% vs 68.1%)
Higher MGSM score (89.3% vs 87.5%)
Higher MMLU score (91.8% vs 85.9%)
Higher MMMU score (77.6% vs 65.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
OpenAI
o1

FAQ

Common questions about Gemini 1.5 Pro vs o1

o1 significantly outperforms across most benchmarks. Gemini 1.5 Pro is made by Google and o1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.
Gemini 1.5 Pro is 6.0x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. o1 costs $15.00/M input and $60.00/M output via azure.
Gemini 1.5 Pro supports 2.1M tokens and o1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (2.1M vs 200K), input pricing ($2.50 vs $15.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Pro is developed by Google and o1 is developed by OpenAI.