Mistral AI Mixtral 8x7B v0.1 VS OpenAI GPT-5.6 Terra
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Terra is the premium intelligence choice, scoring 23.2% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mixtral 8x7B v0.1 is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mixtral 8x7B v0.1 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
Mixtral 8x7B v0.1
Benchmarks & Scores
Coding (human-eval)
40.2%good at code completion, standalone functions, and basic algorithms
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Performance
Cost (per 1M tokens)
N/AInput: N/A | Output: N/AContext Window
32k 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 Mixtral 8x7B v0.1 vs GPT-5.6 Terra comparison
For coding tasks, Mixtral 8x7B v0.1 scores 40.2% on human-eval (good at code completion, standalone functions, and basic algorithms), while GPT-5.6 Terra scores 63.4% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).
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