Tabnine
Free tier available
- Basic (last publicly listed March 2026)$0
- Dev (last publicly listed March 2026)$9/month -- no longer on any vendor page
- Enterprise (via Tricentis)Contact Tricentis
C
6.3/10Tabnine
Tabnine's own models (local + cloud)
VS
Our pickA
8.3/10Codex (OpenAI)
GPT-6.1 Sol (added 2026-09-29 for Plus and up, rolling out from Pro; Ultrafast variant coming) + GPT-6 Sol + GPT-6 Luna (2026-09-22; Luna for Free/Go in the desktop app) + GPT-6 Astra (Ultrafast tier on Pro 500/Enterprise) alongside GPT-5.6 Sol / Terra / Luna (GA 2026-07-09; Terra default on Free/Go). GPT-5.5 remains selectable as previous-gen; GPT-5.4 retired from Codex 2026-08-31; GPT-5.2-Codex retired 2026-07-23; gpt-5.3-codex leaves the API 2027-04-01
Tabnine vs Codex (OpenAI)
Tier-list head-to-head. Codex (OpenAI) takes the A-tier slot — here's the breakdown.
Last reviewed October 12, 2026· sweep-fresh
Spec sheet
At a glance
| Tabnine | Codex (OpenAI) | |
|---|---|---|
| Tier | C-tier | A-tierwin |
| Overall score | 6.3 / 10 | 8.3 / 10win |
| Powered by | Tabnine's own models (local + cloud) | GPT-6.1 Sol (added 2026-09-29 for Plus and up, rolling out from Pro; Ultrafast variant coming) + GPT-6 Sol + GPT-6 Luna (2026-09-22; Luna for Free/Go in the desktop app) + GPT-6 Astra (Ultrafast tier on Pro 500/Enterprise) alongside GPT-5.6 Sol / Terra / Luna (GA 2026-07-09; Terra default on Free/Go). GPT-5.5 remains selectable as previous-gen; GPT-5.4 retired from Codex 2026-08-31; GPT-5.2-Codex retired 2026-07-23; gpt-5.3-codex leaves the API 2027-04-01 |
| Free tier | Yes | Yes |
| Starting price | $0 | $2/$10 |
| Best for | Existing Tabnine enterprise customers and Tricentis shops that want the Enterprise Context Engine inside th… | Developers already paying for ChatGPT Plus who want a coding agent at no extra cost. |
| Last reviewed | 2026-10-06 | 2026-10-12 |
Head-to-head
Score showdown
Rated 1-10 on the same rubric across all 130 tools we cover.
Ease of useTie
Tabnine
8.0
Codex (OpenAI)
8.0
Output quality+2.0 Codex (OpenAI)
Tabnine
6.0
Codex (OpenAI)
8.0
Value+3.0 Codex (OpenAI)
Tabnine
5.0
Codex (OpenAI)
8.0
Features+3.0 Codex (OpenAI)
Tabnine
6.0
Codex (OpenAI)
9.0
Overall+2.0 Codex (OpenAI)
Tabnine
6.3
Codex (OpenAI)
8.3
What you'll pay
Pricing snapshot
Look past the headline number -- entry-tier limits drive most cost surprises.
Codex (OpenAI)
Free tier available
- API -- gpt-6.1-sol (2026-09-29)$2/$10/per 1M tokens; cached input $0.10 (GPT-6 Sol: $0.20)
- Free$0
- Go$8/mo
Benchmark Head-to-Head
GPT-5.2-Codex (HISTORICAL -- this model was RETIRED 2026-07-23; scores retained for trend context only). GPT-6 Sol and Luna joined Codex 2026-09-22: OpenAI reports DeepSWE v1.1 68.8% (Sol, max effort) and 66.6% (Luna, max) -- first-party, third-party verification pending; see Known Issues benchmarks — Tabnine has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| SWE-bench | Real GitHub issue fixing | 72% |
| HumanEval | Python code generation | 95% |
The decision
Which should you pick?
Use-case anchors and category strengths, side by side.
Pick Tabnineif…
C
6.3/10- ✓Existing Tabnine enterprise customers and Tricentis shops that want the Enterprise Context Engine inside their QA pipeline.
- ✓Not a tool to adopt fresh in October 2026.
Existing Tabnine enterprise customers and Tricentis shops that want the Enterprise Context Engine inside their QA pipeline. Not a tool to adopt fresh in October 2026.
Visit TabninePick Codex (OpenAI)if…
A
8.3/10- ✓Higher output quality (8.0 vs 6.0) where polish matters more than speed
- ✓Better value at the price you'll actually pay (8.0/10 on value)
- ✓More feature surface area for power users who'll use the depth
- ✓Developers already paying for ChatGPT Plus who want a coding agent at no extra cost.
- ✓Especially good for parallel task execution -- assign multiple bug fixes or feature branches and let Codex work them simultaneously.
Developers already paying for ChatGPT Plus who want a coding agent at no extra cost. Especially good for parallel task execution -- assign multiple bug fixes or feature branches and let Codex work them simultaneously.
Visit Codex (OpenAI)Bottom line
The verdict
Codex (OpenAI) is the clear winner: 8.3/10 (A-tier) versus 6.3/10 (C-tier). Tabnine isn't a bad tool, but on every category that drives the overall score, Codex (OpenAI) comes out ahead. The tier gap is repeatable -- not methodology noise -- and the day-to-day experience reflects it.
Pricing-wise, both tools have a free tier (Tabnine starts $0, Codex (OpenAI) starts $2/$10), so you can test either without committing. Compare what each free tier actually unlocks -- usage caps, model access, and feature gates differ a lot more than the headline price suggests, especially as both vendors have tightened limits in 2026.
By use case: pick Tabnine when existing tabnine enterprise customers and tricentis shops that want the enterprise context engine inside their qa pipeline. Pick Codex (OpenAI) when developers already paying for chatgpt plus who want a coding agent at no extra cost. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Codex (OpenAI)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Tabnine's lane, the score gap matters less than the fit.
Bottom line: Codex (OpenAI) is the better tool for most people right now. Pick Tabnine only when existing tabnine enterprise customers and tricentis shops that want the enterprise context engine inside their qa pipeline -- that's its lane, and inside that lane it still earns its place.
Keep digging
Compare more & explore
Full Tabnine review
Tier C · 6.3/10
Full Codex (OpenAI) review
Tier A · 8.3/10
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Built from our daily AI-tool sweep, last touched October 12, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.