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Comparison · ai-assistants

Dify vs Gemini

A side-by-side editorial comparison of Dify and Gemini — release velocity, themes, recent moves, and the top alternatives to consider.

Dify vs Gemini: at a glance

FeatureDifyGemini
Sectorai-assistantsai-assistants
Velocity score6.36.3
Sparks · 30d00
Top themesagent-runtime, workflow-orchestration, human-in-the-loop, skillsvideo understanding, agentic tools, token efficiency, model cadence
Last editorial update1mo ago21h ago
WebsiteVisit →Visit →

What is Dify?

Dify is rebuilding itself around a sandboxed agent runtime, with the workflow builder as the legacy layer.

Dify still ships as an LLM app platform — visual workflows, a knowledge base with vector retrieval, and self-hosted Docker deployment. But the last two release cycles have moved the center of gravity: a sandboxed Linux agent runtime, a Skill Editor for packaging reusable capabilities, and a Human Input node that lets a workflow pause for review. Between those, the releases are patch work: tenant isolation fixes, self-hosted SECRET_KEY hardening, and workflow-editor ergonomics.

Read the full Dify trajectory →

What is Gemini?

Gemini stops watching video frame by frame and starts deciding what to watch.

Agentic video understanding is now available on Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite, switched on with an API config setting. Instead of ingesting video at a fixed frame rate, the model uses native video tools in an agentic loop to search, scan and inspect segments across frames, audio and transcript, cutting token consumption by up to 88 percent and cost by up to 66 percent while improving accuracy by up to 7 percent. It follows a fortnight of speech work — a dedicated 3.5 Transcribe model, voice-driven task delegation in Gemini Live — and a developer model refresh in Omni 1.1 Flash. Feed bodies are teaser length; this window was read from the source posts.

Read the full Gemini trajectory →

Dify vs Gemini: editorial side-by-side

D
Dify
AI-ASSISTANTS
6.3

Dify is rebuilding itself around a sandboxed agent runtime, with the workflow builder as the legacy layer.

◆ Current state

Dify still ships as an LLM app platform — visual workflows, a knowledge base with vector retrieval, and self-hosted Docker deployment. But the last two release cycles have moved the center of gravity: a sandboxed Linux agent runtime, a Skill Editor for packaging reusable capabilities, and a Human Input node that lets a workflow pause for review. Between those, the releases are patch work: tenant isolation fixes, self-hosted SECRET_KEY hardening, and workflow-editor ergonomics.

◆ Where it's heading

The arc from 1.13 to 1.16 is a conversion from graph-first to agent-first. HITL came first, making the workflow engine tolerant of pauses and external decisions; then the agent runtime arrived to fill those graphs with something that plans rather than follows edges. Dify Agent shipping as an explicit experiment — with a warning to expose it only to trusted users — signals the sandbox isolation is not yet production-grade, which is why the surrounding releases spend so much effort on tenant scoping and credential permissions.

◆ Prediction

Expect Dify Agent to leave experimental status in a 1.17 or 1.18 release once the sandbox and credential-scoping work lands, with Skills becoming a shareable artifact alongside the existing app DSL export.

Gemini logo
Gemini
AI-ASSISTANTS
6.3

Gemini stops watching video frame by frame and starts deciding what to watch.

◆ Current state

Agentic video understanding is now available on Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite, switched on with an API config setting. Instead of ingesting video at a fixed frame rate, the model uses native video tools in an agentic loop to search, scan and inspect segments across frames, audio and transcript, cutting token consumption by up to 88 percent and cost by up to 66 percent while improving accuracy by up to 7 percent. It follows a fortnight of speech work — a dedicated 3.5 Transcribe model, voice-driven task delegation in Gemini Live — and a developer model refresh in Omni 1.1 Flash. Feed bodies are teaser length; this window was read from the source posts.

◆ Where it's heading

The same pattern keeps repeating at model level: give the model a native tool and a loop, and let it decide how to use its own context. Computer use in June, robotics in July, agentic vision for images, and now video. Google names agentic vision as the direct precedent for this release, so the technique is established and video is the modality it just reached — which is also why the efficiency numbers, not the capability, carry the announcement. The application layer is running a separate clock, converging on voice as the way input arrives across Live, Workspace and macOS.

◆ Prediction

Agentic vision covered images and this covers video, so audio-only and document processing are the modalities the same loop has not yet been pointed at. Whether the setting becomes the default rather than an opt-in config value is not stated.

Alternatives to Dify and Gemini

Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Dify or Gemini.

See all Dify alternatives → · See all Gemini alternatives →

Recent activity from Dify and Gemini

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 23h agoGeminiAugust roundup: Gemini 3.7 Flash, Pixel 11, Gemma weather models
  2. 1d agoGeminiIntroducing agentic video understanding with Gemini
  3. 6d agoGeminiGemini Omni 1.1 Flash lets you build with more control
  4. 6d agoGemini7 ways to kick-start back to school using Gemini in Workspace
  5. 7d agoGeminiTurn your voice into action with new productivity features in Gemini Live
  6. 7d agoGeminiIntelligent transcription with Gemini 3.5 Transcribe
  7. 1mo agoDifyRelease v1.16.1 - Bug Fixes and Security Enhancements
  8. 1mo agoDifyDify Agent: a sandboxed shell agent you build from Skills
  9. 3mo agoDifyv1.14.2 - Security fixes, agent groundwork, workflow reliability, and deployment updates
  10. 3mo agoDifyv1.14.1 - Security hardening, workflow stability, and cleaner self-hosted deployments
  11. 6mo agoDifySandboxed agent runtime and a Skill Editor arrive in 1.14.0-rc1
  12. 6mo agoDify1.13.0 - Human-in-the-Loop and Workflow Execution Upgrades

Frequently asked questions

What is the difference between Dify and Gemini?

They serve adjacent needs but don't currently overlap on shipped themes. Dify and Gemini are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Dify better than Gemini?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dify and Gemini are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.

What are the best alternatives to Dify?

Top Dify alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Dify alternatives" section above for the current picks, or visit /alternatives/dify for the full list with editorial commentary on each.

What are the best alternatives to Gemini?

Top Gemini alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Gemini alternatives" section above for the current picks, or visit /alternatives/gemini for the full list with editorial commentary on each.