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OpenAIGPT-5 miniVSOpenAIGPT-5.6 Terra

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 Terra is noticeably superior (holding a 14.5% average lead in benchmarks), but it carries a massive 8.2x price premium. Choose GPT-5.6 Terra if you need top-tier reasoning or code debugging, but for high-volume pipelines, GPT-5 mini is the smarter business decision.
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Model Specs

GPT-5 mini

Benchmarks & Scores

Coding (swe-bench-pro)
45.7%

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

Reasoning (gpqa-diamond)
81.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)8.2x cheaper
$0.69Input: $0.25 | Output: $2.00
Context Window
400k tokens
Model Specs

GPT-5.6 Terra

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+17.7%)
63.4%

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

Reasoning (gpqa-diamond)Winner (+11.3%)
92.9%

graduate-level science QA

Cost & Context

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

Frequently Asked Questions about GPT-5 mini vs GPT-5.6 Terra

GPT-5 mini is cheaper than GPT-5.6 Terra. GPT-5 mini has a blended cost of $0.69/1M tokens, which is about 8.2x 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 GPT-5 mini which scores 45.7%.

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