Coding · Head-to-head

Ollama vs GLM-5.2

Ollama (freemium, AI Score 8.8/10) vs GLM-5.2 (freemium, AI Score 8.5/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick Ollama if…

→you want our editor's pick for this category
→your primary use case is anyone who wants open-weight models running on their own hardware for privacy, offline work or zero marginal cost, with a cloud fallback for models that will not fit.
→you need: productivity

Try Ollama →

Pick GLM-5.2 if…

→your primary use case is engineering teams building coding agents who need frontier-class capability under a license they fully control — self-hosted, fine-tuned, or air-gapped — rather than rented from a closed api.

Try GLM-5.2 →

Spec	Ollama	GLM-5.2
Category	Coding	Coding
Pricing model	freemium	freemium
Headline pricing	Free, with Pro at $20/mo and Team at $25/seat/mo for cloud usage	Free chat + MIT open weights; paid API and GLM Coding Plan — check site for current rates
Free tier	Yes, and it is the main event. Local inference is free forever on your own hardware. The paid tiers exist to buy cloud capacity, and their allowances are published only as multipliers of an unstated base.	Yes — free chat access plus MIT-licensed weights you can download and run at no license cost. Hosted API and Coding Plan rates are not stated here because they were not verified against z.ai on the date of this update; check the site directly before budgeting.
AI Score	8.8/10	8.5/10
Best for	Anyone who wants open-weight models running on their own hardware for privacy, offline work or zero marginal cost, with a cloud fallback for models that will not fit.	Engineering teams building coding agents who need frontier-class capability under a license they fully control — self-hosted, fine-tuned, or air-gapped — rather than rented from a closed API.
Editor's pick	✓ Yes	—
Use cases	development agents productivity	development agents
Date added	2026-08-02	2026-06-27

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Coding · freemium

✓Local inference costs nothing per token and keeps prompts and files on the machine
✓Works offline, which Ollama calls out specifically for mission-critical work
✓Acts as the runtime under other agents, including ones named on its own front page, so it slots into existing stacks
✓Cloud fallback covers models too large for a laptop without switching to a different tool or vendor
✓States that prompt and response data is never logged or trained on, with zero data retention on the Team plan

×Cloud allowances are published only as multipliers ("50x more than Free", "5x more than Pro") against a base quantity Ollama never states
×The $100 Max tier is currently listed as paused for new sign-ups, so the top individual plan may not be available
×Local model quality is capped by your RAM and GPU, and open weights still trail frontier hosted models on the hardest tasks
×Comfort with a terminal, model files and quantisation choices is assumed, which puts it out of reach for non-technical users

Coding · freemium

✓MIT license at 744B parameters — commercial use, fine-tuning and redistribution with no revocable API terms or MAU clause
✓1M-token context handles whole repositories and long agent histories in one pass
✓Tuned for long-horizon, multi-turn tool use rather than one-shot completion, which is the workload coding agents actually run
✓Self-hosting is a genuine option for teams with data-residency or air-gap requirements, not a theoretical one
✓Materially cheaper than closed frontier tiers like GPT-5.6 Sol at $5/$30 per million tokens

×744B parameters means serious multi-GPU hardware to self-host, so most teams end up on the hosted API anyway — back on someone else's terms
×The launch claim of beating GPT-5.5 on long-horizon coding was vendor- and press-reported and still has no independent replication; GPT-5.6 Sol shipped in July and moved the comparison point
×The cheap-frontier field caught up fast — Qwen 3.8 Max at $2/$6 and Kimi K3 at $3/$15 offer comparable context, so GLM-5.2's cost edge is no longer distinctive
×Hosted API and Coding Plan prices are not published in an easily comparable form, and some enterprises face data-residency or procurement blocks on a China-based provider

Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.