GPT-6.1 Terra
Ranked 18 of 72 language models by recommenders
Recommended as a cheap, fast workhorse for routine coding and agentic tasks. Critics say it still makes basic mistakes.
Recommended as a cheap, fast workhorse for routine coding and agentic tasks. Critics say it still makes basic mistakes.
156 people gave an opinion
- recommend it
- 91
- criticize it
- 65
- approval share
- 58%
Recommended in 7 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: recommended (month in progress)
Why it doesn’t carry the badge
- 91 people recommend itNeeds 10 or more, met.
- 1.4 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 7 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Low cost for good results
“GPT-6.1 Terra is an AWESOME release for anyone using the API in agentic production applications where cost matters.”
Comment from 26 Oct 2026 in “GPT-6.1 Terra” “Cheap and affordable. Dispatching proper tasks to these models can save you a huge % of your quota.”
Comment from 26 Oct 2026 in “GPT-6.1 Terra” “The reduction in price for the Terra model series has been particularly helpful for us.”
Comment from 11 Aug 2026 in “Launch HN: Keet (YC S24) – An app to create video courses on anything” - Comment from 26 Oct 2026 in “GPT-6.1 Terra”
- Comment from 26 Oct 2026 in “GPT-6.1 Terra”
- Comment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”
Reliable workhorse for routine tasks
“Terra had the "workhorse" quality where it could do these changes in bulk and follow directions without being too 'smart'”
Comment from 22 Sep 2026 in “GPT-6 Sol and Luna” “I actually found Terra to be a very good workhorse model on none-to-medium reasoning”
Comment from 22 Sep 2026 in “GPT-6 Sol and Luna” “I also get good mileage out of Terra when I need a diligent workhorse”
Comment from 22 Sep 2026 in “GPT-6 Sol and Luna” Faster than comparable models
“Terra is probably better than Astra and Sol at technical communication, similar on vision and computer use (but much faster!), and a bit worse on most other things.”
Comment from 26 Oct 2026 in “GPT-6.1 Terra” “Sometimes this tier is faster, and getting a good enough result in a few seconds instead of a better result in ~15-30 seconds is a meaningful result.”
Comment from 26 Oct 2026 in “GPT-6.1 Terra” Cheaper planning split with Sol
“I've saved on $$ on the tasks where I split planning+execution into Sol+Terra”
Comment from 5 Sep 2026 in “Portal by Spotify cut my Claude Code token usage by 90%” “Sol to write the brief and Terra to implement it, works pretty well”
Comment from 25 Jul 2026 in “Opus 5 is currently #1 on Artificial Analysis Intelligence Leaderboard”
What people warn about
Each mark is one comment
Makes basic mistakes and serious bugs
“They all work, they all are "good", they all are both "smart" and commit incredible basic mistakes a fair amount of times.”
Comment from 2 Sep 2026 in “Claude Fable 5.1 and Claude Mythos 5.1” “All non-trivial code terra has generated for me has had at least one serious bug in it.”
Comment from 18 Aug 2026 in “GPT-5.6 Sol Pricing Cut by 50%” “Terra did such idiotic crap to my flashcards app that I stopped using it for anything after that.”
Comment from 23 Sep 2026 in “GPT-6 Sol and Luna” Too many confusing model versions
“You know they’ve run out of ideas when they’re releasing this many versions of the same base model.”
Comment from 26 Oct 2026 in “GPT 6.1 Terra” “The obnoxious/confusing thing is that models are released individually rather than as a family.”
Comment from 26 Oct 2026 in “GPT-6.1 Terra” “They have too many models, and too many effort levels, it starts to feel like what to chose.”
Comment from 26 Oct 2026 in “GPT-6.1 Terra” Not clearly better than alternatives
“No testing I've done has shown them to have a niche where there isn't a cheaper-with-equal-results or more-performant-at-same-cost option.”
Comment from 27 Oct 2026 in “GPT-6.1 Terra” “Every test I've done with Sonnet or Tera has been more expensive than just using their big brothers”
Comment from 9 Oct 2026 in “Why isn't the industry freaking out about DeepSeek 4.1 Flash?” “It wasn't really used enough and it sat in an awkward middle space between luna and sol”
Comment from 22 Sep 2026 in “GPT-6 Sol and Luna” Inconsistent availability and releases
“But then things go confusing, they released Sol-6.1 which sometimes is superior to Astra, and discontinued Terra”
Comment from 26 Oct 2026 in “GPT-6.1 Terra” “The inconsistency wrt their availability, starting with day 1 of a new model version, is precisely the problem.”
Comment from 27 Oct 2026 in “GPT-6.1 Terra”
Other language models people recommend
The four most recommended other language models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Claude Opus | 3,331 | 2,746 | 55% | 13 | 4 mo156 owners | — |
| OpenAI GPT | 1,205 | 987 | 55% | 13 | 6 mo47 owners | — |
| Claude Sonnet | 854 | 586 | 59% | 13 | 6 mo46 owners | — |
| DeepSeek V4 Flash | 828 | 223 | 79% | 8 | 1 mo24 owners | Approved |
| GPT-6.1 TerraThis page | 91 | 65 | 58% | 7 | — | — |
What people said
40 of the 175 comments that mention it, newest first. Each links to the original comment.
“Using 6.1 Terra for E2E workflow testing feels like cheating. I thought it would have all kinds of problems with the action space on certain steps, but it runs like a deterministic unit test.”
“Terra 6.1 is only a hair behind Sol 6.1, hopefully making it a useful Sol replacement for slightly easier tasks.”
“The inconsistency wrt their availability, starting with day 1 of a new model version, is precisely the problem.”
“No testing I've done has shown them to have a niche where there isn't a cheaper-with-equal-results or more-performant-at-same-cost option.”
“it kind of does what I would ask Sol or Astra, but dont have to count tokens as much”
“Terra with low reasoning ended up with the best price/performance & latency.”
“GPT-6.1 Terra is an AWESOME release for anyone using the API in agentic production applications where cost matters.”
“You know they’ve run out of ideas when they’re releasing this many versions of the same base model.”
“If you trust these benchmarks, I'd argue that there's almost never a reason to use anything other than Terra 6.1 xhigh.”
“The obnoxious/confusing thing is that models are released individually rather than as a family.”
“dirt cheap and good enough for 50% (or more) of the typical junior dev's workload”
“Terra is probably better than Astra and Sol at technical communication, similar on vision and computer use (but much faster!), and a bit worse on most other things.”
“Cheap and affordable. Dispatching proper tasks to these models can save you a huge % of your quota.”
“Sometimes this tier is faster, and getting a good enough result in a few seconds instead of a better result in ~15-30 seconds is a meaningful result.”
“They have too many models, and too many effort levels, it starts to feel like what to chose.”
“But then things go confusing, they released Sol-6.1 which sometimes is superior to Astra, and discontinued Terra”
“Ingesting 600k word document and drawing conclusions/patterns from it is something I routinely give to Terra.”
“Every test I've done with Sonnet or Tera has been more expensive than just using their big brothers”
“sonnet/terra and composer 2.5 and grok 4.7 are actually good enough for most tasks”
“Terra did such idiotic crap to my flashcards app that I stopped using it for anything after that.”
“Terra [high] was on the pareto frontier of DeepSWE's score over cost, if only ever so slightly.”
“I actually found Terra to be a very good workhorse model on none-to-medium reasoning”
“I also get good mileage out of Terra when I need a diligent workhorse”
“Terra had the "workhorse" quality where it could do these changes in bulk and follow directions without being too 'smart'”
“Terra is useful when medium-grade intelligence is needed in instant ("none" thinking) mode.”
“In "none" thinking mode, Terra serves a useful purpose where medium-grade intelligence is needed.”
“It wasn't really used enough and it sat in an awkward middle space between luna and sol”
“Terra is in the sweet spot where if feels like Opus 4.6. Competent but not too smart.”
“I've saved on $$ on the tasks where I split planning+execution into Sol+Terra”
“They all work, they all are "good", they all are both "smart" and commit incredible basic mistakes a fair amount of times.”
“I used sol, terra and Luna and I think they and the first two are good for first code reviews.”
“All non-trivial code terra has generated for me has had at least one serious bug in it.”
“will likely produce better results than Luna xhigh and cost about the same or less”
“Luna and Terra are great, but so are DeepSeek Flash, MiMo, Qwen 3.6, and even Gemma for some things.”
“I am seeing essentially deterministic results with Terra running a custom browser automation agent across >100 interaction events.”
“Terra and Luna are fine, but they’re quite slow (OAI seems to be really slow lately)”
“The reduction in price for the Terra model series has been particularly helpful for us.”
“let it iterate code reviews/fixes/test cases a few times, and you'll have something nice”
“Sol to write the brief and Terra to implement it, works pretty well”
“you're about to get today's mainline performance at a fraction of the price”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.