DeepSeek V3 vs Microsoft Agent Framework

DeepSeek V3 and Microsoft Agent Framework are both large language models tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

DeepSeek V3

A fast, chat-based, Mixture-of-Experts (MoE) model from DeepSeek.

Microsoft Agent Framework

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

Attribute	DeepSeek V3	Microsoft Agent Framework
Pricing	Paid	Free
Price	$0.14 per million input tokens and $0.28 per million output tokens	—
Free trial	No	No
Open source	Yes	No
Has API	Yes	Yes
Self-hosted option	Yes	Yes
Platforms	Hugging Face, GitHub, DeepSeek API, multiple cloud providers (Cerebras, DeepInfra, Together, OpenRouter, Fireworks, Hyperbolic, SambaNova)	Python and .NET with consistent APIs. Available for both .NET and Python
Languages	Supports multiple languages, allowing input and output in several languages	Python, C# (.NET)
Released	2024-12-26	2025-10
Pros	Cost-effective at $0.27 per million input tokens and $1.10 per million output tokens Fast throughput at approximately 60 tokens per second, 3x faster than DeepSeek-V2 Fully open-source weights available under MIT License for local deployment Performance comparable to GPT-4 and Claude 3.5 Sonnet Outperforms other open-source models across multiple benchmarks	Unifies the enterprise-ready foundations of Semantic Kernel with the innovative orchestration of AutoGen Full framework support for both Python and C#/.NET implementations with consistent APIs and built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging Open standards & interoperability — MCP, A2A, and OpenAPI ensure agents are portable and vendor-neutral Supports integration with any API via OpenAPI, collaboration across runtimes with Agent2Agent (A2A), and dynamic tool connections using MCP Enterprise readiness — built-in observability, approvals, security, and long-running durability
Cons	Context window significantly smaller than some competitors Does not support tool calling (functions) Does not support vision capabilities	Public preview released October 1, 2025, with AutoGen and Semantic Kernel entering maintenance mode Requires understanding of agentic AI concepts and orchestration patterns Dependent on external model providers for LLM capabilities

Bottom line

DeepSeek V3 is paid while Microsoft Agent Framework is free; DeepSeek V3 is open source. Choose based on which difference matters most for your workflow.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.