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Gemini 3.8 Flash Cyber vs o1

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.7 to 21.2.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.7 to 21.2, ranking #44 overall.

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

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 42.7 and ranks #44 on LLM Stats
  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose o1

  • you want predictable pricing at $15.00/M input and $60.00/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
o1
OpenAI
Core performance indexes
LLM Stats Score
42.7
#44
21.2
#180
Coding
36.1
#25
4.8
#195
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$15.00 / M
Output price
— / M
$60.00 / M
Context window
—
200,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 19 for o1

No common benchmarks found

Gemini 3.8 Flash Cyber and o1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Wed Sep 02 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 3.8 Flash Cyber

Proprietary

Closed source

o1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while o1 was released on 2024-12-17.

Gemini 3.8 Flash Cyber is 21 months newer than o1.

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

1.7yr newer
o1

Dec 17, 2024

1.7 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 3.8 Flash Cyber and o1 side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
o1
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs o1.

Which is better, Gemini 3.8 Flash Cyber or o1?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.7 to 21.2. Gemini 3.8 Flash Cyber is made by Google and o1 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 3.8 Flash Cyber compare to o1 in benchmarks?

Gemini 3.8 Flash Cyber scores Gray Swan IPI Benchmark: 94.0%, CyberGym: 86.2%, Google Real-world Vulnerability Discovery: 71.0%, CWE-Bench: 47.2%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.

What are the context window sizes for Gemini 3.8 Flash Cyber and o1?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and o1 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 3.8 Flash Cyber and o1?

Key differences include LLM Stats Score (42.7 vs 21.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and o1?

Gemini 3.8 Flash Cyber is developed by Google and o1 is developed by OpenAI.

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