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Comparison · ai-assistants

Ollama vs Retell AI

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

Ollama vs Retell AI: at a glance

FeatureOllamaRetell AI
Sectorai-assistantsai-assistants
Velocity score6.30.0
Sparks · 30d00
Top themeslocal-llm, coding-agents, agent-hosts, open-modelsvoice-ai, conversation-flows, agent-composition, knowledge-base
Last editorial update3d ago4mo ago
WebsiteVisit →Visit →

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.

Read the full Ollama trajectory →

What is Retell AI?

Voice-AI platform building toward composable, flexibly-routed agents

Retell builds voice AI agents, and the captured releases (through early 2026) center on making complex agents maintainable and adaptive: Agent Transfer for handing context between modular agents, Flex Mode for non-linear flow navigation, reusable Flow Components, and node-level knowledge bases. Add to that a chat widget, an AI QA Analyst, and periodic pricing adjustments.

Read the full Retell AI trajectory →

Ollama vs Retell AI: editorial side-by-side

O
Ollama
AI-ASSISTANTS
6.3

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.

R
Retell AI
AI-ASSISTANTS
0.0

Voice-AI platform building toward composable, flexibly-routed agents

◆ Current state

Retell builds voice AI agents, and the captured releases (through early 2026) center on making complex agents maintainable and adaptive: Agent Transfer for handing context between modular agents, Flex Mode for non-linear flow navigation, reusable Flow Components, and node-level knowledge bases. Add to that a chat widget, an AI QA Analyst, and periodic pricing adjustments.

◆ Where it's heading

The arc is from rigid, single-purpose call flows toward modular, composable agent systems — reusable sub-agents and components, knowledge scoped per node, and flows that follow the caller rather than forcing a script. It's an enterprise-maintainability story layered on top of the core voice capability.

◆ Prediction

Expect continued investment in flow flexibility and agent composition, plus QA/observability tooling. Note the captured changelog runs only through January 2026, so recent cadence is unclear from this data.

Alternatives to Ollama and Retell AI

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 Retell AI.

See all Ollama alternatives → · See all Retell AI alternatives →

Recent activity from Ollama and Retell AI

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

  1. 3d agoOllamav0.40.17-rc0: MLX version bump
  2. 4d agoOllamav0.40.16: Ripple Preview model, 27 GiB less memory for Qwen3.8 Flash
  3. 6d agoOllamav0.40.16-rc0: Ripple Preview support in MLX runner
  4. 8d agoOllamav0.40.15: MiMo V2.6, AutoTrust models, Kimi Code CLI launch
  5. 8d agoOllamav0.40.15-rc2: Kimi Code CLI support in launch
  6. 9d agoOllamav0.40.15-rc1: llama.cpp: version bump b12111 (#19530)
  7. 9mo agoRetell AIAI QA Analyst
  8. 10mo agoRetell AIFlex Mode for Conversation Flows ⚡
  9. 11mo agoRetell AIConversation Flow Components are Live! - Reusable flows & functions across agents.
  10. 1y agoRetell AINode KB — Smarter Knowledge Access at the Node Level
  11. 1y agoRetell AITelnyx Pricing Adjustment
  12. 1y agoRetell AIAgent Transfer ⚡

Frequently asked questions

What is the difference between Ollama and Retell AI?

They serve adjacent needs but don't currently overlap on shipped themes. Ollama is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Ollama better than Retell AI?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Ollama is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 Retell AI?

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