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)
- API -- gpt-6.1-terra (2026-10-26)$1/$5/per 1M tokens; cached input $0.05
- Free$0

Codex (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
Our pickMuse Spark + Muse Wonder (Meta)
Tier-list head-to-head. Muse Spark + Muse Wonder (Meta) takes the A-tier slot — here's the breakdown.
Spec sheet
| Tier | A-tier | A-tierwin |
| Overall score | 8.3 / 10 | 8.8 / 10win |
| Powered by | 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 | $2/$10 | $0 |
| Best for | Developers already paying for ChatGPT Plus who want a coding agent at no extra cost. | Developers who want a cheap, capable agentic model (Muse Spark 1. |
| Last reviewed | 2026-11-05 | 2026-11-05 |
Head-to-head
Rated 1-10 on the same rubric across all 130 tools we cover.
What you'll pay
Look past the headline number -- entry-tier limits drive most cost surprises.
Free tier available
Free tier available
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 vs Muse Spark Open (vendor model card, xhigh effort; Muse Wonder's table is image-only, numbers not recorded)
These tools have no shared benchmarks to compare.
The decision
Use-case anchors and category strengths, side by side.
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)Developers who want a cheap, capable agentic model (Muse Spark 1.3 on the Meta Model API), teams that want a frontier open-weight model they can self-host (Muse Spark Open), local-agent builders on one consumer GPU (Muse Glimmer), and US consumers who want an agent that actually does errands through the Muse app.
Visit Muse Spark + Muse Wonder (Meta)Bottom line
Muse Spark + Muse Wonder (Meta) edges out Codex (OpenAI) by 0.5 points (8.8 vs 8.3) -- a A-tier vs A-tier split that's narrow but real. Not a blowout; both belong on a shortlist. The score gap shows up most clearly in the categories that matter for Muse Spark + Muse Wonder (Meta)'s strengths, so if those categories are your priority, the lead translates.
Pricing-wise, both tools have a free tier (Codex (OpenAI) starts $2/$10, Muse Spark + Muse Wonder (Meta) starts $0), 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 Codex (OpenAI) when developers already paying for chatgpt plus who want a coding agent at no extra cost. Pick Muse Spark + Muse Wonder (Meta) when developers who want a cheap, capable agentic model (muse spark 1. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Muse Spark + Muse Wonder (Meta)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Codex (OpenAI)'s lane, the score gap matters less than the fit.
Bottom line: Muse Spark + Muse Wonder (Meta) is the safer default for most readers, but Codex (OpenAI) is competitive enough that the tie-breaker is your specific workload, not the spec sheet.
Keep digging
Full Codex (OpenAI) review
Tier A · 8.3/10
Full Muse Spark + Muse Wonder (Meta) review
Tier A · 8.8/10
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Built from our daily AI-tool sweep, last touched November 5, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.