GoogleGemini 3 FlashVSOpenAIGPT-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 15.6% average lead in benchmarks), but it carries a significant 5.0x price premium. Choose GPT-5.6 Terra if you need top-tier reasoning or code debugging, but for high-volume pipelines, Gemini 3 Flash is the smarter business decision.

Was this recommendation helpful?

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)5.0x cheaper

$1.13Input: $0.50 | Output: $3.00

Context Window

1.05M tokens

Model Specs

GPT-5.6 Terra

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+28.8%)

63.4%

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

Reasoning (gpqa-diamond)Winner (+2.5%)

92.9%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$5.63Input: $2.50 | Output: $15.00

Context WindowLarger

1.05M tokens

Read our data collection methodology

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

Gemini 3 Flash is cheaper than GPT-5.6 Terra. Gemini 3 Flash has a blended cost of $1.13/1M tokens, which is about 5.0x 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 Flash which scores 34.6%.

Related Matchups

Explore similar comparisons for Gemini 3 Flash and GPT-5.6 Terra.

Browse More Comparisons

Do you want to find a model for your constraints?

Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

Open Model Finder