AI

OpenAI reasoning vs Google Gemini model comparison

GPT-6.1 Sol achieves a reasoning score of 90.5 while Gemini 4 Argon reaches 86.9 in benchmark tests. Gemini offers lower pricing for enterprise workloads, costing significantly less than GPT-5.5 for input and output tokens per million.

OpenAI reasoning vs Google Gemini model comparison

Model intelligence and benchmark results

GPT-6.1 Sol achieves a reasoning score of 90.5 while Gemini 4 Argon scores 86.9. Gemini 4 Argon leads in coding with 73.1 points compared to 71 for GPT-6.1 Sol. OpenAI models score higher in research and knowledge tasks, with GPT-6.1 Sol reaching 86.1 against 81.4 for Gemini 4 Argon. OpenAI models score 76.2 in agents and automation, which is higher than the 78.7 score for Gemini 4 Argon if you look at the directionality of the estimates. Gemini 3 Deep Think provides enhanced reasoning for Ultra subscribers. GPT-5.2 launched in December 2025 to provide deep reasoning chains. GPT-5 has a unified system with Instant, Thinking, and Pro modes. Gemini 3 performs well in native multimodality including text, image, video, audio, and code. Both companies’ models face challenges with hallucinations and context limits.

Ecosystem and API pricing

Microsoft holds a non-exclusive license for OpenAI intellectual property and maintains a 27% stake in a company valued at $852 billion. Microsoft is a large shareholder and a major customer of OpenAI. Azure remains the exclusive cloud provider for OpenAI stateless AI services. ChatGPT Business costs $20 per user per month with annual billing. Gemini in Google Workspace costs $14 per user per month for Business Standard users. Gemini 3.1 Pro charges $2.00 for input and $12.00 for output per million tokens, but these rates rise to $4.00 and $18.00 for requests exceeding 200,000 tokens. GPT-5.5 charges $5.00 for input and $30.00 for output per million tokens.

Model Input / 1M Tokens Output / 1M Tokens
Gemini 3.1 Pro $2.00 $12.00
GPT-5.5 $5.00 $30.00
Gemini 3.8 Flash $0.75 $3.75
Gemini 3.1 Flash-Lite $0.25 $1.50

The price gap between Gemini 3.1 Pro and GPT-5.5 is wide because GPT-5.5 costs 2.5 times more for input and 2.5 times more for output per million tokens for most common enterprise workloads in 2026. You should buy Gemini if your company uses Google Workspace and requires heavy multimodal processing like video analysis. Microsoft’s decision to allow non-exclusive licensing means committing to OpenAI no longer implies a commitment to Azure. Gemini 2.5 Flash-Lite is set to retire on October 16, 2026. Gemini’s context caching reduces repeated prompt input costs by up to 75 percent.

Market adoption and usage trends

ChatGPT web traffic fell from 86% in early 2025 to 64% in 2026. Gemini web traffic grew from 5% to 21.5% in that same period. The top 10% of enterprise AI adopters generate 8.3x more output per active user than typical firms. Only 29% of organizations have embedded AI into daily workflows. GPT-5.6 models fail to combine reasoning with tools when users use the Chat Completions API. OpenAI’s revenue share to Microsoft is capped for the first time. Big Tech AI spending is projected to reach $725 billion in 2026. Gemini 3.1 Pro maintains a 1 million token context window. GPT-5.5 matches the 1 million token capacity. The US private AI investment reached $109.1 billion in 2024, which is 11.7 times the $9.3 billion in China.

Does the higher cost of reasoning tokens outweigh the intelligence gains for your specific budget?

Google Gemini is the smarter choice for organizations using Google Workspace or requiring heavy multimodal processing.