Mistral AI Ministral 3 3B (Instruct) VS OpenAI GPT-5.6 Terra
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Terra is the premium intelligence choice, scoring 63.4% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Ministral 3 3B (Instruct) is 56.3x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Ministral 3 3B (Instruct) 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
Ministral 3 3B (Instruct)
Benchmarks & Scores
Coding (swe-bench-pro)
N/Aexcellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Performance
Cost (per 1M tokens)56.3x cheaper
$0.10Input: $0.10 | Output: $0.10Context Window
262.14k tokensModel Specs
GPT-5.6 Terra
Benchmarks & Scores
Coding (swe-bench-pro)
63.4%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
92.9%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$5.63Input: $2.50 | Output: $15.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Ministral 3 3B (Instruct) vs GPT-5.6 Terra comparison
Ministral 3 3B (Instruct) is cheaper than GPT-5.6 Terra. Ministral 3 3B (Instruct) has a blended cost of $0.10/1M tokens, which is about 56.3x 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 Ministral 3 3B (Instruct) which scores N/A.
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