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Gemini 2.0 Flash Thinking vs GPT-6 Sol

GPT-6 Sol leads the LLM Stats Score 49.4 to 16.7.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to 16.7, ranking #21 overall.

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

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

Choose GPT-6 Sol

  • overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
GPT-6 Sol
OpenAI
Core performance indexes
LLM Stats Score
16.7
#225
49.4
#21
Reasoning
17.0
#218
45.6
#29
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,050,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 5 for GPT-6 Sol

No common benchmarks found

Gemini 2.0 Flash Thinking and GPT-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-6 Sol specifies input context (1,050,000 tokens). Only GPT-6 Sol specifies output context (128,000 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and GPT-6 Sol support multimodal inputs.

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

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

GPT-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 2.0 Flash Thinking

Proprietary

Closed source

GPT-6 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while GPT-6 Sol was released on 2026-09-22.

GPT-6 Sol is 20 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

GPT-6 Sol

Sep 22, 2026

0 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a knowledge cutoff of 2024-08-01, while GPT-6 Sol has a cutoff of 2026-04-20.

GPT-6 Sol has more recent training data (up to 2026-04-20), making it potentially better informed about events through that date compared to Gemini 2.0 Flash Thinking (2024-08-01).

Gemini 2.0 Flash Thinking

Aug 2024

GPT-6 Sol

Apr 2026

1.7 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and GPT-6 Sol side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
GPT-6 Sol
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs GPT-6 Sol.

Which is better, Gemini 2.0 Flash Thinking or GPT-6 Sol?

GPT-6 Sol leads the LLM Stats Score 49.4 to 16.7. Gemini 2.0 Flash Thinking is made by Google and GPT-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 2.0 Flash Thinking compare to GPT-6 Sol in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%.

What are the context window sizes for Gemini 2.0 Flash Thinking and GPT-6 Sol?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and GPT-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 2.0 Flash Thinking and GPT-6 Sol?

Key differences include LLM Stats Score (16.7 vs 49.4). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and GPT-6 Sol?

Gemini 2.0 Flash Thinking is developed by Google and GPT-6 Sol is developed by OpenAI.

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