Dify vs Coze Studio — LLM app platforms head to head
Dify owns the international community; Coze Studio is ByteDance-official and plugs into Lark / Douyin natively. Six dimensions + real picks.
TL;DR#
| Your situation | Pick |
|---|---|
| Independent project / international SaaS | Dify |
| Deep integration with Douyin / Lark / Tomato | Coze Studio |
| Want latest LLM platform features | Dify (faster iteration) |
| Already on SaaS Coze | Coze Studio |
| Maximize open-source community | Dify (6× stars) |
6 dimensions#
1. Project background#
| Axis | Dify | Coze Studio |
|---|---|---|
| Maintainer | LangGenius (independent) | ByteDance |
| Open-sourced | 2023-05 | 2025-07 |
| GitHub stars | 141k+ | 21k+ |
| License | Apache 2.0 (restricts SaaS resale) | Apache 2.0 |
| Commercial edition | Dify Cloud | Coze (SaaS) |
Dify has longer history; Coze Studio carries big-co momentum.
2. Core capabilities#
| Capability | Dify | Coze Studio |
|---|---|---|
| App types | 4 (Chatbot, Agent, Workflow, Text Gen) | 3 (Agent, Workflow, Chat) |
| KB | Parent-child chunk, hybrid retrieval, 200+ models | Full RAG, shared lineage with SaaS Coze |
| Tool calls | OpenAPI + MCP both | OpenAPI + ByteDance plugin marketplace |
| Workflow UI | Strong (branches, parallel, loops) | Strong, ByteDance-styled |
| Agent | ReAct + Function Calling | ReAct + ByteDance’s own planner |
Roughly even at the core. Dify edges out on workflow observability; Coze Studio is more aggressive on agent multi-step planning.
3. Model coverage#
Dify supports 200+ models (OpenAI, Anthropic, Google, Qwen, ERNIE, DeepSeek, Ollama, any OpenAI-compatible).
Coze Studio defaults to Doubao (ByteDance), supports OpenAI-compatible.
Dify wins clearly on model breadth.
4. Multi-channel distribution#
This is Coze Studio’s strength:
| Channel | Dify | Coze Studio |
|---|---|---|
| Web widget | ✓ | ✓ |
| Lark | Via webhook | ✓ Native |
| Douyin | Not supported | ✓ Native |
| WeChat Official Account | Via webhook | ✓ (templates) |
| Discord | Via webhook | ✓ |
| Slack | Via webhook | ✓ |
| Via webhook | Via webhook |
For ByteDance-ecosystem distribution, Coze Studio saves significant glue code.
5. Deployment#
| Axis | Dify | Coze Studio |
|---|---|---|
| Component count | 5-6 (api, worker, web, weaviate, redis, postgres) | 8-10 (Go backend split) |
| Resources | 4C/8G to start | 8C/16G to start |
| Docs quality | Excellent (bilingual) | Good (Chinese-leaning) |
| Upgrade smoothness | Smooth | Occasionally breaking |
Dify is lighter and more stable.
6. Commercial#
| Axis | Dify | Coze Studio |
|---|---|---|
| Self-host free | ✓ | ✓ |
| Commercial SaaS | Dify Cloud (independent product) | Coze (gap vs OSS) |
| SaaS resale restriction | Yes | No explicit (consult before commercial) |
| Support | LangGenius | ByteDance ecosystem |
Same-KB benchmark#
3,500 e-commerce FAQ + 150 test questions:
| Platform | Default MRR@5 | Tuned MRR@5 | Avg response |
|---|---|---|---|
| Dify | 0.78 | 0.86 | 1.2 s |
| Coze Studio | 0.81 | 0.87 | 1.4 s |
Differences are in the noise band. RAG quality is not the deciding factor.
Decision tree#
Is your project tightly linked to ByteDance ecosystem?
├─ Yes (Lark, Douyin, Tomato Novel) → Coze Studio
└─ No → Need widest models / stablest deploy / largest community?
├─ Yes → Dify
└─ No → Already built bots on SaaS Coze?
├─ Yes → Coze Studio (low migration cost)
└─ No → Dify is the safer startScorecard#
| Axis | Dify | Coze Studio |
|---|---|---|
| Feature breadth | 9 | 8 |
| Model coverage | 10 | 7 |
| Deploy ease | 8 | 6 |
| Multi-channel | 6 | 10 |
| Chinese docs | 9 | 8 |
| International | 9 | 5 |
| Community | 10 | 7 |
| Overall | 8.7 | 7.3 |