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Google Gemini 3.5 Flash VS OpenAI GPT-5.6 Terra

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.6 Terra is the premium intelligence choice, scoring 8.3% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 3.5 Flash is 1.7x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 3.5 Flash offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Terra fully justifies the cost.
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Model Specs

Gemini 3.5 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
55.1%

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

Reasoning (gpqa-diamond)
92.2%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)1.7x cheaper
$3.38Input: $1.50 | Output: $9.00
Context Window
1M tokens
Model Specs

GPT-5.6 Terra

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+8.3%)
63.4%

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

Reasoning (gpqa-diamond)Winner (+0.7%)
92.9%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$5.63Input: $2.50 | Output: $15.00
Context WindowLarger
1.05M tokens

Frequently Asked Questions about Gemini 3.5 Flash vs GPT-5.6 Terra comparison

Gemini 3.5 Flash is cheaper than GPT-5.6 Terra. Gemini 3.5 Flash has a blended cost of $3.38/1M tokens, which is about 1.7x cheaper than GPT-5.6 Terra at $5.63/1M tokens.

GPT-5.6 Terra is better for coding tasks on this benchmark. It scores 63.4% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Gemini 3.5 Flash which scores 55.1%.