The AI arena is free today

Open Superagent

Gemini 1.0 Pro vs GPT-6 Sol

GPT-6 Sol leads the LLM Stats Score 49.4 to -5.4. Gemini 1.0 Pro is 5.3x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to -5.4, ranking #21 overall.

On price, Gemini 1.0 Pro is roughly 5.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Sol also accepts a larger context window (1,050,000 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 1.0 Pro

  • cost matters — it's about 5.3x cheaper per token

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 process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
GPT-6 Sol
OpenAI
Core performance indexes
LLM Stats Score
-5.4
#363
49.4
#21
Reasoning
-8.0
#362
45.6
#29
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
$2.00 / M
Output price
$1.50 / M
$10.00 / M
Context window
32,760
1,050,000

Individual benchmarks

9 reported for Gemini 1.0 Pro · 5 for GPT-6 Sol

No common benchmarks found

Gemini 1.0 Pro 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

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 4.0x cheaper than GPT-6 Sol ($2.00/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 6.7x cheaper than GPT-6 Sol ($10.00/1M tokens).

In conclusion, GPT-6 Sol is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
OpenAI
GPT-6 Sol
Input tokens$2.00
Output tokens$10.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-6 Sol accepts 1,050,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. GPT-6 Sol can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Sol supports multimodal inputs, whereas Gemini 1.0 Pro does not.

GPT-6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

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 1.0 Pro

Proprietary

Closed source

GPT-6 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while GPT-6 Sol was released on 2026-09-22.

GPT-6 Sol is 32 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

GPT-6 Sol

Sep 22, 2026

0 days ago

2.6yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, 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 1.0 Pro (2024-02-01).

Gemini 1.0 Pro

Feb 2024

GPT-6 Sol

Apr 2026

2.2 yr newer

Provider Availability

Gemini 1.0 Pro is available from Google. GPT-6 Sol is available from OpenAI.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

GPT-6 Sol

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M
* 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 1.0 Pro and GPT-6 Sol side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
GPT-6 Sol
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs GPT-6 Sol.

Which is better, Gemini 1.0 Pro or GPT-6 Sol?

GPT-6 Sol leads the LLM Stats Score 49.4 to -5.4. Gemini 1.0 Pro 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 1.0 Pro compare to GPT-6 Sol in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. 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%.

Is Gemini 1.0 Pro cheaper than GPT-6 Sol?

Gemini 1.0 Pro is 4.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. GPT-6 Sol costs $2.00/M input and $10.00/M output via openai.

What are the context window sizes for Gemini 1.0 Pro and GPT-6 Sol?

Gemini 1.0 Pro supports 33K 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 1.0 Pro and GPT-6 Sol?

Key differences include LLM Stats Score (-5.4 vs 49.4), context window (33K vs 1.1M), input pricing ($0.50 vs $2.00/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and GPT-6 Sol?

Gemini 1.0 Pro is developed by Google and GPT-6 Sol is developed by OpenAI.

Related comparisons