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OpenAIGPT-5.4 nanoVSOpenAIGPT-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 10.6% average lead in benchmarks), but it carries a massive 12.2x price premium. Choose GPT-5.6 Terra if you need top-tier reasoning or code debugging, but for high-volume pipelines, GPT-5.4 nano is the smarter business decision.
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Model Specs

GPT-5.4 nano

Benchmarks & Scores

Coding (swe-bench-pro)
52.4%

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

Reasoning (gpqa-diamond)
82.8%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)12.2x cheaper
$0.46Input: $0.20 | Output: $1.25
Context Window
400k tokens
Model Specs

GPT-5.6 Terra

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+11.0%)
63.4%

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

Reasoning (gpqa-diamond)Winner (+10.1%)
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-5.4 nano vs GPT-5.6 Terra

GPT-5.4 nano is cheaper than GPT-5.6 Terra. GPT-5.4 nano has a blended cost of $0.46/1M tokens, which is about 12.2x 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-5.4 nano which scores 52.4%.

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