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Llama 4 Behemoth vs Step-3.5-Flash
Comprehensive side-by-side LLM comparison
Llama 4 Behemoth supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Meta AI
Llama 4 Behemoth is a research-scale Mixture-of-Experts language model with approximately 2 trillion total parameters (288 billion active per inference), developed by Meta as a teacher model for the Llama 4 family. Available only in limited preview, it serves as the knowledge distillation source for Llama 4 Scout and Maverick. Behemoth targets research applications requiring the largest-scale open-weight model architecture from the Llama 4 generation.
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StepFun
Step-3.5-Flash, released by StepFun on February 2, 2026, is a Mixture-of-Experts large language model with 197 billion total parameters and approximately 11 billion active parameters per inference. It features a 256K token context window using a 3:1 sliding-window-to-full-attention ratio, processing 100–350 tokens per second. Step-3.5-Flash targets agentic tasks, coding workflows, and open-source deployments requiring frontier reasoning capabilities with efficient inference, under an Apache 2.0 license.
Step-3.5-Flash
StepFun
2026-02-02
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Behemoth
1 providers
Together AI
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Step-3.5-Flash
0 providers
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1
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Step-3.5-Flash
Avg Score:0.0%
Providers:0