GoogleGemini 3 FlashVSOpenAIGPT-5.6 Sol

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

This matchup represents a clear tradeoff between peak intelligence and budget efficiency. GPT-5.6 Sol is noticeably superior (holding a 17.1% average lead in benchmarks), but it carries a massive 10.0x price premium. Choose GPT-5.6 Sol if you need top-tier reasoning or code debugging, but for high-volume pipelines, Gemini 3 Flash is the smarter business decision.

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Model Specs

Gemini 3 Flash

Website

Benchmarks & Scores

Coding (swe-bench-pro)

34.6%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)

90.4%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)10.0x cheaper

$1.13Input: $0.50 | Output: $3.00

Context Window

1.05M tokens

Model Specs

GPT-5.6 Sol

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+30.0%)

64.6%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+4.2%)

94.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$11.25Input: $5.00 | Output: $30.00

Context WindowLarger

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3 Flash vs GPT-5.6 Sol

Gemini 3 Flash is cheaper than GPT-5.6 Sol. Gemini 3 Flash has a blended cost of $1.13/1M tokens, which is about 10.0x cheaper than GPT-5.6 Sol at $11.25/1M tokens.

GPT-5.6 Sol is better for coding tasks on this benchmark. It scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Gemini 3 Flash which scores 34.6%.

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