Ollama vs Zed
A detailed comparison to help you choose between Ollama and Zed.
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Verdict: Ollama wins
Ollama scores 4.6/5, edging out Zed at 4.2/5. Developers and privacy-conscious teams who want open-weight models running on their own hardware with a clean local API, and who are comfortable in a terminal.
Ollama Run large language models locally | Zed High-performance multiplayer code editor with AI | |
|---|---|---|
| Rating | 4.6 (1 review) | 4.2 (1 review) |
| Pricing Model | free | freemium |
| Starting Price | Free | Free tier available |
| Best For | Developers and privacy-conscious teams who want open-weight models running on their own hardware with a clean local API, and who are comfortable in a terminal. | Developers who want a fast native editor with model-flexible AI and real-time collaboration, and who are happy to bring their own API keys or run local models. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | api accessopen sourcefree tier | free tieropen sourcebyok |
| Visit Ollama → | Visit Zed → |
Ollama
Pros
- + Local inference is free and unlimited — cost is hardware and electricity, and prompts never leave the machine (OLLAMA_NO_CLOUD=1 disables the cloud path entirely)
- + OpenAI- and Anthropic-compatible endpoints at localhost:11434 meant existing SDK code worked for me after a single base_url change, including JSON-schema structured output
- + Install-to-first-chat took about two minutes on my M-series Mac with a quantized 8B model, and ollama ps shows the GPU/CPU split honestly
- + Huge ecosystem: ~183k GitHub stars, setup docs for 20+ agents and editors, official Python and JS libraries
- + v0.40.x MLX default made prompt processing measurably faster on Apple Silicon in my runs, and releases ship every few days
Cons
- - Memory-tiered default context window truncates long inputs out of the box — I had to raise num_ctx explicitly in a coding-agent setup
- - Quality ceiling is your hardware: a local 7B quant visibly trails frontier hosted models on hard reasoning
- - No end-user polish — quantization, context sizing, and memory management stay your problem, and CPU-only machines run slowly
- - Fast release cadence creates churn for pinned deployments (e.g. v0.34.1 moved GGUF creation out to llama.cpp tooling)
- - Cloud Team plan pricing conflicts across sources ($500/mo flat vs $25/seat with 5-seat minimum); Max signups reported paused at times
Zed
Pros
- + Performance held up where it counts: instant startup and fluid multi-cursor editing on a large Rust repo in my testing, with the AI panel closed and no model configured
- + Free Personal plan is genuinely livable — 2,000 accepted edit predictions lasted several days of heavy editing in my runs, and unlimited BYOK/local-model usage carries no Zed markup
- + Agent Client Protocol runs external agents (Claude Code, Codex CLI) as first-class citizens inside Zed's UI with thread-level change review
- + Native collaboration with live cursors, conflict-free sync and in-project screen sharing worked cleanly across two machines in my test
- + Real cross-platform support now: macOS, Linux and official Windows since October 2025 (DirectX backend) — the old 'Mac only' limitation is gone
Cons
- - Extension catalog is hundreds, not tens of thousands — VS Code-specific extensions may not exist
- - Pro's $5 token allowance is not a spending ceiling: overage bills at provider list price +10% with a default $10/month incremental cap
- - Business plan lacks SSO, SAML and SCIM (planned, not shipping at time of writing), blocking some enterprise rollouts
- - Zeta edit prediction was strong on repetitive refactors but weak on novel logic in my runs — I stopped accepting after a few misses
- - Remote development demands exact local/remote version matches; Windows needs a DirectX 11 GPU and is slower under VM display emulation
Frequently Asked Questions
Which is better, Ollama or Zed?▼
Ollama scores higher at 4.6/5 vs 4.2/5 for Zed, making it the better-rated option in our comparison.
What is the difference between Ollama and Zed?▼
Ollama: Ollama enables you to run open-source large language models locally on your machine, providing privacy and offline access to AI capabilities. Zed: Zed is a high-performance code editor written in Rust, with built-in AI assistance and real-time collaborative editing.
Is Ollama or Zed more affordable?▼
Ollama starts at €0/mo, Zed starts at €0/mo. Check the comparison table above for current pricing.
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