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Comparison · ai-assistants
Ollama vs Dify
A side-by-side editorial comparison of Ollama and Dify — release velocity, themes, recent moves, and the top alternatives to consider.
Ollama vs Dify: at a glance
What is Ollama?
Ollama v0.40.16 adds the 65B Ripple Preview coding model and cuts Qwen3.8 Flash memory on Macs.
Ollama keeps a weekly rhythm of model additions plus agent-host plumbing. v0.40.16 adds Ripple Preview, a 65B dense model for agentic coding, cuts Qwen3.8 Flash Next memory use on Apple silicon by about 27 GiB, makes `ollama launch claude` always route Claude Code to the selected model, and stops /v1/responses from silently truncating. A v0.40.17 candidate has started with an MLX version bump.
What is Dify?
Dify 1.19 traces workflows layer by layer, down to the LLM calls inside nested tools.
Dify 1.19.0 sends nested workflow traces to external observability tools: steps inside called Workflow Tools now appear beneath the span that invoked them, with prompts, responses and token usage attached. It also makes Workflow Tools portable inside App packages, adds Skill Hub automation and easier Agent file uploads. It follows 1.18.0, which let an Agent node pick the next workflow branch and introduced the .ifpkg package and difyctl CLI.
Ollama vs Dify: editorial side-by-side
Ollama
6.3AI-ASSISTANTS
Ollama v0.40.16 adds the 65B Ripple Preview coding model and cuts Qwen3.8 Flash memory on Macs.
◆ Current state
Ollama keeps a weekly rhythm of model additions plus agent-host plumbing. v0.40.16 adds Ripple Preview, a 65B dense model for agentic coding, cuts Qwen3.8 Flash Next memory use on Apple silicon by about 27 GiB, makes `ollama launch claude` always route Claude Code to the selected model, and stops /v1/responses from silently truncating. A v0.40.17 candidate has started with an MLX version bump.
◆ Where it's heading
Each release pairs a new open coding model with fixes for how Ollama behaves behind other agents, from Claude Code routing to OpenAI-compatible endpoints. The MLX runner keeps getting attention, which points at Apple silicon as a priority platform.
◆ Prediction
Expect v0.40.17 within a week with another model addition and more MLX runner work.
Dify
6.3AI-ASSISTANTS
Dify 1.19 traces workflows layer by layer, down to the LLM calls inside nested tools.
◆ Current state
Dify 1.19.0 sends nested workflow traces to external observability tools: steps inside called Workflow Tools now appear beneath the span that invoked them, with prompts, responses and token usage attached. It also makes Workflow Tools portable inside App packages, adds Skill Hub automation and easier Agent file uploads. It follows 1.18.0, which let an Agent node pick the next workflow branch and introduced the .ifpkg package and difyctl CLI.
◆ Where it's heading
After several releases that made agents act inside workflows, Dify is now making that behaviour inspectable and portable. Tracing nested calls and packaging tools with apps are what teams need before trusting agent-routed workflows in production.
◆ Prediction
Expect more observability and evaluation work around agent decisions, such as tracing why an Agent chose a route. Packaging will likely extend to more component types as .ifpkg becomes the deployment unit.
Alternatives to Ollama and Dify
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 Ollama or Dify.
Lambda Labs
Lambda adds IAM to its GPU cloud and plans a $33 billion Alabama data center.
LobeChat
LobeHub v2.3.3 gives every agent an inbox, an address and its own reply rules.
Snorkel AI
Snorkel AI turns its coding benchmark on Fable 5.2 and finds the terminal failures mostly gone.
vLLM
vLLM opens its 0.34 cycle by moving more models onto the Transformers backend
Recall
Recall becomes an official Claude connector, so your saved library feeds Claude's answers.
Recent activity from Ollama and Dify
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3d agoOllamav0.40.17-rc0: MLX version bump
- 4d agoOllamav0.40.16: Ripple Preview model, 27 GiB less memory for Qwen3.8 Flash
- 6d agoOllamav0.40.16-rc0: Ripple Preview support in MLX runner
- 8d agoOllamav0.40.15: MiMo V2.6, AutoTrust models, Kimi Code CLI launch
- 8d agoOllamav0.40.15-rc2: Kimi Code CLI support in launch
- 9d agoOllamav0.40.15-rc1: llama.cpp: version bump b12111 (#19530)
- 10d agoDifyv1.19.0 - Trace Your Workflows, Layer by Layer
- 22d agoDifyv1.18.0 — Smarter Agent Routing, Portable Apps, Deeper Workflow Visibility ⚡
- 2mo agoDifyv1.17.1 - Bug Fixes and Improvements
- 3mo agoDifyRelease v1.16.1 - Bug Fixes and Security Enhancements
- 4mo agoDifyDify Agent: sandboxed Linux runtime ships in experimental ⚡
- 5mo agoDifyv1.14.2 - Security fixes, agent groundwork, workflow reliability, and deployment updates
Frequently asked questions
What is the difference between Ollama and Dify?
They serve adjacent needs but don't currently overlap on shipped themes. Ollama and Dify 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 Ollama better than Dify?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Ollama and Dify 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 Ollama?
Top Ollama alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Ollama alternatives" section above for the current picks, or visit /alternatives/ollama for the full list with editorial commentary on each.
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.