Model Comparison

Gemini 1.0 Pro vs o4-mini

o4-mini significantly outperforms across most benchmarks. Gemini 1.0 Pro is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while o4-mini is better at 3 benchmarks (GPQA, MathVista, MMMU).

o4-mini significantly outperforms across most benchmarks.

Fri May 01 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 2.2x cheaper than o4-mini ($1.10/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 2.9x cheaper than o4-mini ($4.40/1M tokens).

In conclusion, o4-mini is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
OpenAI
o4-mini
Input tokens$1.10
Output tokens$4.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o4-mini accepts 200,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. o4-mini 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
o4-mini
Input200,000 tokens
Output100,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o4-mini supports multimodal inputs, whereas Gemini 1.0 Pro does not.

o4-mini 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

o4-mini

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

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while o4-mini was released on 2025-04-16.

o4-mini is 14 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

o4-mini

Apr 16, 2025

1.0 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while o4-mini has a cutoff of 2024-05-31.

o4-mini 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

o4-mini

May 2024

3 mo newer

Provider Availability

Gemini 1.0 Pro is available from Google. o4-mini is available from OpenAI.

Gemini 1.0 Pro

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

o4-mini

openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (81.4% vs 27.9%)
Higher MathVista score (84.3% vs 46.6%)
Higher MMMU score (81.6% vs 47.9%)
GoogleGemini 1.0 Pro
OpenAIo4-mini
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
OpenAI
o4-mini

FAQ

Common questions about Gemini 1.0 Pro vs o4-mini

o4-mini significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and o4-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.
Gemini 1.0 Pro is 2.2x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. o4-mini costs $1.10/M input and $4.40/M output via openai.
Gemini 1.0 Pro supports 33K tokens and o4-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (33K vs 200K), input pricing ($0.50 vs $1.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.0 Pro is developed by Google and o4-mini is developed by OpenAI.