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Comparison · ai-assistants
Continue vs Ollama
A side-by-side editorial comparison of Continue and Ollama — release velocity, themes, recent moves, and the top alternatives to consider.
Continue vs Ollama: at a glance
What is Continue?
Continue ships a 'final release' of its VS Code extension and stops shipping notes after it.
In mid-June Continue cut what it calls the final stable release of its VS Code extension: it removed the CLI-install banner and Generate Rule, moved onboarding and new configs to explicit model definitions instead of Hub slugs, and updated a deprecation banner's export link. Two bare 2.0.0 and 2.1.0 tags followed with no notes.
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.
Continue vs Ollama: editorial side-by-side
Continue
0.0AI-ASSISTANTS
Continue ships a 'final release' of its VS Code extension and stops shipping notes after it.
◆ Current state
In mid-June Continue cut what it calls the final stable release of its VS Code extension: it removed the CLI-install banner and Generate Rule, moved onboarding and new configs to explicit model definitions instead of Hub slugs, and updated a deprecation banner's export link. Two bare 2.0.0 and 2.1.0 tags followed with no notes.
◆ Where it's heading
Through March the extension was in ordinary maintenance: JetBrains freeze fixes, dependency bumps, .continue/configs support and workspace-scoped history. June turns that into a wind-down, stripping Hub-dependent paths and pointing users at an export. The 2.x tags look like version housekeeping rather than a revival, because they carry no user-facing notes.
◆ Prediction
Expect few or no annotated extension releases from here. Whether the 2.x line carries real work is unclear until a 2.x release ships with notes.
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.
Alternatives to Continue and Ollama
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 Continue or Ollama.
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.
See all Continue alternatives → · See all Ollama alternatives →
Recent activity from Continue and Ollama
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)
- 4mo agoContinueVS Code extension 2.0.0 tag, no release notes
- 4mo agoContinueVS Code extension 2.1.0 tag, no release notes
- 5mo agoContinueFinal stable VS Code extension drops Hub slugs, points to export ⚡
- 5mo agoContinueFinal extension release, partly published and re-cut as 1.2.24
- 5mo agoContinuePre-release channel final cleanup build
- 7mo agoContinueAdds .continue/configs and workspace-scoped session history
Frequently asked questions
What is the difference between Continue and Ollama?
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 Continue better than Ollama?
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 Continue?
Top Continue alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Continue alternatives" section above for the current picks, or visit /alternatives/continue for the full list with editorial commentary on each.
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.