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Comparison · ai-assistants
Baseten vs Ollama
A side-by-side editorial comparison of Baseten and Ollama — release velocity, themes, recent moves, and the top alternatives to consider.
Baseten vs Ollama: at a glance
What is Baseten?
Baseten adds open-weight joey-1 and finer control over rolling promotions.
Baseten added joey-1, a 2B-parameter decision model post-trained from Qwen3.5-2B, to Model APIs with open weights on Hugging Face. Rolling promotions now accept max surge and max unavailable together, so teams can set extra replica capacity and allowed serving loss in the same rollout. Before that came paid usage for elephant-1 and mammoth-1, and per-replica metrics.
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.
Baseten vs Ollama: editorial side-by-side
Baseten
5.0AI-ASSISTANTS
Baseten adds open-weight joey-1 and finer control over rolling promotions.
◆ Current state
Baseten added joey-1, a 2B-parameter decision model post-trained from Qwen3.5-2B, to Model APIs with open weights on Hugging Face. Rolling promotions now accept max surge and max unavailable together, so teams can set extra replica capacity and allowed serving loss in the same rollout. Before that came paid usage for elephant-1 and mammoth-1, and per-replica metrics.
◆ Where it's heading
Model APIs are collecting small routing and classification models, now three in ten days, while dedicated deployments gain production controls: GPU metrics, per-replica breakdowns and now rollout tuning. The security tightening of late October appears to have settled into defaults.
◆ Prediction
Expect more small decision models on Model APIs, possibly on the same free-then-paid pattern as elephant-1, and further deployment and rollout controls for dedicated inference.
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 Baseten 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 Baseten 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 Baseten alternatives → · See all Ollama alternatives →
Recent activity from Baseten 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)
- 14d agoBasetenMixed-mode rolling promotions
- 15d agoBasetenjoey-1 decision model available on Baseten
- 16d agoBasetenelephant-1 and mammoth-1 pricing
- 16d agoBasetenPer-replica metrics
- 20d agoBasetenRevocation of unused API keys on 10/24
- 21d agoBasetenAuth errors switch from 403 to 401 on October 28
Frequently asked questions
What is the difference between Baseten and Ollama?
They serve adjacent needs but don't currently overlap on shipped themes. Ollama is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 Baseten 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 5.0), 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 Baseten?
Top Baseten alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Baseten alternatives" section above for the current picks, or visit /alternatives/baseten 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.