The AI arena is free today

Open Superagent

Gemini 3.8 Flash Cyber vs GPT-5.6 Sol

Gemini 3.8 Flash Cyber and GPT-5.6 Sol are closely matched at 42.5 and 56.0 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and GPT-5.6 Sol are closely matched on the overall LLM Stats Score at 42.5 and 56.0.

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

Choose Gemini 3.8 Flash Cyber

  • you want the most recent training data — it shipped Sep 2026

Choose GPT-5.6 Sol

  • you want predictable pricing at $5.00/M input and $30.00/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
GPT-5.6 Sol
OpenAI
Core performance indexes
LLM Stats Score
42.5
#45
56.0
#2
Coding
35.6
#24
46.9
#1
Agents
31.5
#26
41.8
#2
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$5.00 / M
Output price
— / M
$30.00 / M
Context window
—
1,050,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 45 for GPT-5.6 Sol

No common benchmarks found

Gemini 3.8 Flash Cyber and GPT-5.6 Soldon'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 GPT-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.6 Sol supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

GPT-5.6 Sol

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 3.8 Flash Cyber

Proprietary

Closed source

GPT-5.6 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while GPT-5.6 Sol was released on 2026-07-09.

Gemini 3.8 Flash Cyber is 2 months newer than GPT-5.6 Sol.

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

1mo newer
GPT-5.6 Sol

Jul 9, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Gemini 3.8 Flash Cyber's cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Gemini 3.8 Flash Cyber's cutoff date.

Gemini 3.8 Flash Cyber

—

GPT-5.6 Sol

Feb 2026

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 GPT-5.6 Sol side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
GPT-5.6 Sol
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs GPT-5.6 Sol.

Which is better, Gemini 3.8 Flash Cyber or GPT-5.6 Sol?

Gemini 3.8 Flash Cyber and GPT-5.6 Sol are closely matched on the LLM Stats Score at 42.5 and 56.0. Gemini 3.8 Flash Cyber is made by Google and GPT-5.6 Sol 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 GPT-5.6 Sol 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%. GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%.

What are the context window sizes for Gemini 3.8 Flash Cyber and GPT-5.6 Sol?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and GPT-5.6 Sol supports 1.1M 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 GPT-5.6 Sol?

Key differences include LLM Stats Score (42.5 vs 56.0), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and GPT-5.6 Sol?

Gemini 3.8 Flash Cyber is developed by Google and GPT-5.6 Sol is developed by OpenAI.

Related comparisons