Ollama v0.40.14stable Released Nov 03, 2026
Impact Score: 5/10

Ollama v0.40.14 โ€” Release Notes & Engineering Impact

Source available โ€” automated, not human-reviewed

Component: ollama ยท Channel: stable. Automated analysis, not a compatibility certification. How this works.

Analysis updated: 2026-11-03.

Compatibility not verified โ€” check source notes
๐Ÿ“„ .MD
โšก Executive Summary (TL;DR)

Ollama v0.40.14 aligns OpenAI-compatible endpoint sampler defaults with packaged model settings and speeds up MLX top-k sampling for large vocabularies. It also improves connection resiliency for ChatGPT routing, fixes web search response decoding on `/api/chat`, and applies appropriate output token limits for Claude Code.

Who Does This Impact? (Role-Based Analysis)

๐Ÿ’ป Software Engineers & Devs

Engineers using OpenAI-compatible endpoints should note that omitting `temperature` or `top_p` now falls back to model-packaged defaults rather than hardcoding to 1.0.

๐Ÿ“Š Product & Engineering Leads

Integrations relying on cloud web search, Claude Code limits, and ChatGPT routing will experience improved reliability and performance.

โš™๏ธ DevOps & Security

No deployment or hosting changes are required, though updates resolve transient ChatGPT connection failures and routing errors in CLI launch commands.

โšก Performance & Enhancements (6)

  • `ollama launch claude` applies model output token limits to prevent running into the 128k default cap
  • OpenAI-compatible endpoints default to model-packaged sampler settings (`temperature`/`top_p`) when parameters are omitted by clients
  • `/v1/responses` preserves readable input content, including prior assistant refusals
  • Ollama desktop application retries ChatGPT disconnect failures automatically
  • `ollama launch codex` verifies ChatGPT routing before configuration and reports explicit errors when routing is unavailable
  • Faster top-k sampling performance on MLX when handling large vocabularies

๐Ÿ”ง Bug Fixes & Patches (1)

  • Cloud web search responses on `/api/chat` (including compressed payloads) are now decoded correctly
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
## What's Changed * `ollama launch claude` now applies the model's output token limit for Claude Code, so cloud models no longer run into the 128k default cap * Cloud web search responses on `/api/chat` are now decoded correctly, including compressed responses * OpenAI-compatible endpoints no longer override a model's packaged sampler defaults โ€” clients that send no `temperature`/`top_p` get the model's own values instead of 1.0, matching `/api/chat` * `/v1/responses` now preserves readable input content, including prior assistant refusals, instead of flattening it * Ollama's app can now retry ChatGPT disconnect failures instead of leaving the connection in a broken state * `ollama launch codex` verifies ChatGPT routing before configuring, and reports a clear error when routing is unavailable * Faster top-k sampling on MLX for large vocabularies **Full Changelog**: https://github.com/ollama/ollama/compare/v0.40.13...v0.40.14