Figr vs Ollama
A detailed comparison to help you choose between Figr and Ollama.
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Verdict: Ollama wins
Ollama scores 4.6/5, edging out Figr at 3.5/5. 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.
Figr AI powered product design workflows | Ollama Run large language models locally | |
|---|---|---|
| Rating | 3.5 (1 review) | 4.6 (1 review) |
| Pricing Model | freemium | free |
| Starting Price | Free tier available | Free |
| Best For | Best for product teams that already maintain a Figma design system and want an agent to draft flows, edge cases and product-native screens inside those existing conventions. | 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. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tierno codeteam features | api accessopen sourcefree tier |
| Visit Figr → | Visit Ollama → |
Figr
Pros
- + Context Pods genuinely ground output: against a pod built from our Figma file and PRD, the generated screens reused our component names and density conventions instead of generic dashboard patterns
- + Published per-task credit costs (0.75–1 for a brainstorm, 5 for a first-generation full web page) let you budget before you build — measured consumption matched the table in my testing
- + Reasoning-first workflow produces the artifacts teams actually lose — flows, edge-case lists, design decisions — before any pixels are generated
- + Figma export arrives as real structure: auto layout, tokens and component instances, not flattened images
- + Integrations reach the delivery chain — Figma, Jira, Linear, Slack and GitHub, with automatic ticket creation and custom MCPs on paid tiers
Cons
- - Premise assumes an existing product and design system; a bare project gets generic output at premium credit prices
- - Free tier is a sandbox — 3 canvases, one 200MB Context Pod, limited design system
- - No published policy I could find on credit refunds when a generation fails or is unusable; one aborted run in my testing kept the charge
- - Young product with thin independent testing: little third-party verification of output fidelity and no company history I could confirm
- - Pricing drifts — Figr's own blog cites Starter at $39 and Max at $149 while the pricing page renders some figures dynamically
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
Frequently Asked Questions
Which is better, Figr or Ollama?▼
Ollama scores higher at 4.6/5 vs 3.5/5 for Figr, making it the better-rated option in our comparison.
What is the difference between Figr and Ollama?▼
Figr: Figr is a product design agent that learns an existing product and its design system, then produces UX flows and Figma-ready screens. Ollama: Ollama enables you to run open-source large language models locally on your machine, providing privacy and offline access to AI capabilities.
Is Figr or Ollama more affordable?▼
Figr starts at €0/mo, Ollama starts at €0/mo. Check the comparison table above for current pricing.
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