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Gemini Diffusion vs o1-preview

o1-preview leads the LLM Stats Score 16.6 to 0.9.

Google · OpenAI · Updated for 2026

Which is better?

o1-preview leads the overall LLM Stats Score 16.6 to 0.9, ranking #223 overall.

In the 2 individual benchmarks reported for both models, o1-preview wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini Diffusion

  • you want the most recent training data — it shipped May 2025

Choose o1-preview

  • overall performance matters — it scores 16.6 and ranks #223 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

At a glance

The differences that matter most.

Gemini Diffusion
Google
o1-preview
OpenAI
Core performance indexes
LLM Stats Score
0.9
#326
16.6
#223
Reasoning
0.9
#318
16.8
#216
Coding
2.8
#224
-3.2
#255
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$15.00 / M
Output price
— / M
$60.00 / M
Context window
—
128,000

Individual benchmarks

10 reported for Gemini Diffusion · 8 for o1-preview

2 shared

Gemini Diffusion outperforms in 0 benchmarks, while o1-preview is better at 2 benchmarks (GPQA, SWE-Bench Verified).

o1-preview significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o1-preview specifies input context (128,000 tokens). Only o1-preview specifies output context (32,768 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Tue Sep 22 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 Diffusion

Proprietary

Closed source

o1-preview

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while o1-preview was released on 2024-09-12.

Gemini Diffusion is 8 months newer than o1-preview.

Gemini Diffusion

May 20, 2025

1.3 years ago

8mo newer
o1-preview

Sep 12, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

Gemini Diffusion
✓ Preferred
o1-preview
Open in Playground

FAQ

Common questions about Gemini Diffusion vs o1-preview.

Which is better, Gemini Diffusion or o1-preview?

o1-preview leads the LLM Stats Score 16.6 to 0.9. Gemini Diffusion is made by Google and o1-preview 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 Diffusion compare to o1-preview in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%.

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

Gemini Diffusion supports an unknown number of 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 Diffusion and o1-preview?

Key differences include LLM Stats Score (0.9 vs 16.6). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and o1-preview?

Gemini Diffusion is developed by Google and o1-preview is developed by OpenAI.

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