Model Comparison

Gemini 1.5 Pro vs o4-miniWhich is better in 2026?

o4-mini significantly outperforms across most benchmarks. o4-mini is 2.3x cheaper per token.

Verdict: Gemini 1.5 Pro vs o4-mini — which is better?

Gemini 1.5 Pro (by Google) and o4-mini (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 1.5 Pro outperforms in 0 benchmarks, while o4-mini is better at 3 benchmarks (GPQA, MathVista, MMMU). o4-mini significantly outperforms across most benchmarks.

On price, o4-mini is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.5 Pro if…

  • you process long inputs — it offers a 2,097,152 token context window

Choose o4-mini if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • cost matters — it's about 2.3x cheaper per token
  • you want the most recent training data — it shipped Apr 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.5 Pro outperforms in 0 benchmarks, while o4-mini is better at 3 benchmarks (GPQA, MathVista, MMMU).

o4-mini significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o4-mini costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 2.3x more expensive than o4-mini ($1.10/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 2.3x more expensive than o4-mini ($4.40/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than o4-mini.*

* 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 1.5 Pro
Input tokens$2.50
Output tokens$10.00
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

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to o4-mini's 200,000 tokens. o4-mini 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
o4-mini
Input200,000 tokens
Output100,000 tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and o4-mini support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 1.5 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 1.5 Pro

Proprietary

Closed source

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while o4-mini was released on 2025-04-16.

o4-mini is 12 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.1 years ago

o4-mini

Apr 16, 2025

1.2 years ago

11mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, 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 1.5 Pro (2023-11-01).

Gemini 1.5 Pro

Nov 2023

o4-mini

May 2024

6 mo newer

Provider Availability

Gemini 1.5 Pro is available from Google. o4-mini is available from OpenAI.

Gemini 1.5 Pro

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

o4-mini

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (2,097,152 tokens)
OpenAI
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (81.4% vs 59.1%)
Higher MathVista score (84.3% vs 68.1%)
Higher MMMU score (81.6% vs 65.9%)
GoogleGemini 1.5 Pro
OpenAIo4-mini
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
OpenAI
o4-mini

FAQ

Common questions about Gemini 1.5 Pro vs o4-mini.

Which is better, Gemini 1.5 Pro or o4-mini?

o4-mini significantly outperforms across most benchmarks. Gemini 1.5 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.

How does Gemini 1.5 Pro compare to o4-mini in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

Is Gemini 1.5 Pro cheaper than o4-mini?

o4-mini is 2.3x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. o4-mini costs $1.10/M input and $4.40/M output via openai.

What are the context window sizes for Gemini 1.5 Pro and o4-mini?

Gemini 1.5 Pro supports 2.1M tokens and o4-mini 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 1.5 Pro and o4-mini?

Key differences include context window (2.1M vs 200K), input pricing ($2.50 vs $1.10/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and o4-mini?

Gemini 1.5 Pro is developed by Google and o4-mini is developed by OpenAI.

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