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Google Gemini 3 Flash VS OpenAI GPT-5.6 Sol

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.6 Sol is the premium intelligence choice, scoring 30.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 3 Flash is 10.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 3 Flash offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Sol fully justifies the cost.
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Model Specs

Gemini 3 Flash

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 & Performance

Cost (per 1M tokens)10.0x cheaper
$1.13Input: $0.50 | Output: $3.00
Context Window
1M tokens
Model Specs

GPT-5.6 Sol

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 & Performance

Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00
Context WindowLarger
1.05M tokens

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

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%.