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Gemini 2.5 Pro vs o3

Gemini 2.5 Pro and o3 are closely matched at 27.8 and 31.1 on the LLM Stats Score. Gemini 2.5 Pro is 1.0x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.5 Pro and o3 are closely matched on the overall LLM Stats Score at 27.8 and 31.1.

In the 8 individual benchmarks reported for both models, o3 wins 6; this is a narrower head-to-head signal than the composite indexes.

Gemini 2.5 Pro also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.5 Pro

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped May 2025

Choose o3

  • you value its reported benchmark strengths — it wins 6 of 8 exact shared results

At a glance

The differences that matter most.

Core performance indexes
27.8
#143
31.1
#119
27.2
#144
30.7
#121
12.8
#147
14.9
#136
Cost, coverage & limits
Benchmark wins
2 of 8
6 of 8
Input price
$1.25 / M
$2.00 / M
Output price
$10.00 / M
$8.00 / M
Context window
1,000,000
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 2.5 Pro
o3
22.6#136
25.5#108
16.1#92
21.6#64
22.4#65
25.6#47
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 2.5 Pro · 22 for o3

8 shared

Gemini 2.5 Pro outperforms in 2 benchmarks (AIME 2024, Humanity's Last Exam), while o3 is better at 6 benchmarks (Aider-Polyglot, AIME 2025, ARC-AGI v2, GPQA, MMMU, SWE-Bench Verified).

o3 shows notably better performance in the majority of benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Pro costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 1.6x cheaper than o3 ($2.00/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 1.3x more expensive than o3 ($8.00/1M tokens).

In conclusion, o3 is more expensive than Gemini 2.5 Pro.*

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

Lowest available price from all providers
Wed Sep 23 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerDeepinfra
OpenAI
o3
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro accepts 1,000,000 input tokens compared to o3's 200,000 tokens. Gemini 2.5 Pro can generate longer responses up to 1,000,000 tokens, while o3 is limited to 100,000 tokens.

Google
Gemini 2.5 Pro
Input1,000,000 tokens
Output1,000,000 tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.5 Pro and o3 support multimodal inputs.

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

Gemini 2.5 Pro

Text
Images
Audio
Video

o3

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 2.5 Pro

Proprietary

Closed source

o3

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while o3 was released on 2025-04-16.

Gemini 2.5 Pro is 1 month newer than o3.

Gemini 2.5 Pro

May 20, 2025

1.3 years ago

1mo newer
o3

Apr 16, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a knowledge cutoff of 2025-01-31, while o3 has a cutoff of 2024-05-31.

Gemini 2.5 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to o3 (2024-05-31).

Gemini 2.5 Pro

Jan 2025

8 mo newer
o3

May 2024

Provider Availability

Gemini 2.5 Pro is available from DeepInfra, Google. o3 is available from OpenAI.

Gemini 2.5 Pro

deepinfra logo
Deepinfra
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

o3

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 2.5 Pro and o3 side-by-side, then vote on the output you prefer.

Gemini 2.5 Pro
✓ Preferred
o3
Open in Playground

FAQ

Common questions about Gemini 2.5 Pro vs o3.

Which is better, Gemini 2.5 Pro or o3?

Gemini 2.5 Pro and o3 are closely matched on the LLM Stats Score at 27.8 and 31.1. Gemini 2.5 Pro is made by Google and o3 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.5 Pro compare to o3 in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.

Is Gemini 2.5 Pro cheaper than o3?

Gemini 2.5 Pro is 1.6x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via deepinfra. o3 costs $2.00/M input and $8.00/M output via openai.

What are the context window sizes for Gemini 2.5 Pro and o3?

Gemini 2.5 Pro supports 1.0M tokens and o3 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 2.5 Pro and o3?

Key differences include LLM Stats Score (27.8 vs 31.1), context window (1.0M vs 200K), input pricing ($1.25 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and o3?

Gemini 2.5 Pro is developed by Google and o3 is developed by OpenAI.