Coding ยท Head-to-head
Ollama vs Codex Security CLI
Ollama vs Codex Security CLI: pricing, features, and which to pick in 2026.
The verdict
Pick Ollama ifโฆ
- โoverall capability matters more than price (AI Score 8.8 vs 8.2)
- โyou want our editor's pick for this category
- โyour 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.
- โyou need: development, agents, productivity
Side-by-side specs
| Spec | Ollama | Codex Security CLI |
|---|---|---|
| Category | Coding | Coding |
| Pricing model | freemium | free |
| Headline pricing | Free, with Pro at $20/mo and Team at $25/seat/mo for cloud usage | Free, open source (model-backed analysis runs through Codex access) |
| 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. | The CLI is free and open source. What it charges for is model usage, which routes through your existing Codex plan or API access. |
| AI Score | 8.8/10 | 8.2/10 |
| 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. | โ |
| Editor's pick | โ Yes | โ |
| Use cases | development agents productivity | โ |
| Date added | 2026-08-02 | 2026-07-29 |
Pros and cons
๐ฆ
Ollama
Coding ยท freemium
Pros
- โLocal inference costs nothing per token and keeps prompts and files on the machine
- โWorks offline, which Ollama calls out specifically for mission-critical work
- โActs as the runtime under other agents, including ones named on its own front page, so it slots into existing stacks
- โCloud fallback covers models too large for a laptop without switching to a different tool or vendor
- โStates that prompt and response data is never logged or trained on, with zero data retention on the Team plan
Cons
- รCloud allowances are published only as multipliers ("50x more than Free", "5x more than Pro") against a base quantity Ollama never states
- รThe $100 Max tier is currently listed as paused for new sign-ups, so the top individual plan may not be available
- รLocal model quality is capped by your RAM and GPU, and open weights still trail frontier hosted models on the hardest tasks
- รComfort with a terminal, model files and quantisation choices is assumed, which puts it out of reach for non-technical users
Codex Security CLI
Coding ยท free
Pros
- โGenuinely open source โ you can read the client, audit its calls, fork it, and pin a version rather than trusting a black-box security vendor
- โTracks findings across runs, so a scan reads as a delta instead of the same wall of unranked issues every build
- โVerifies that fixes actually closed the finding, which is what makes it viable as a CI gate rather than a report-only scanner
- โModel-based analysis can follow logic across files without someone first writing a rule for that specific pattern
- โFree at the tool layer, which puts real scanning in reach of teams shipping AI-generated code with no security budget
Cons
- รDay-one release in early access โ the command surface and flags will churn, so pin the version before it gates anything
- รThe client is open but the model that ranks a finding as critical or noise is not, and neither is the eval set behind it
- รSame-vendor auditing: Codex writes the code and a Codex-branded tool grades it, with no public study of whether same-family generator and auditor share blind spots
- รWhether your unpatched inventory stays on the runner or leaves it is worth establishing from the source before wiring this into a pipeline
Related comparisons
Updated 2026-08-02. Spec data sourced from official product pages and tracked in our public directory at /tools.