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GPT-6.1-Terra 모델을 잠깐 써봤다. 실제로 써보는 게 꺼려지지 않는 임계점을 넘은 최초의 비프론티어 모델인 것 같다. 약간 더 단순해진 6.1-Sol 같은 느낌인데, 솔직히 꽤 좋다. 약간 겉도는 느낌이었던 기존 GPT-5.6-Terra랑은 전혀 다르다. 한도가 간당간당하거나, 장시간 실행되는 컴퓨터 작업이 필요하거나, 그냥 든든한 일꾼이 필요하다면 — 이걸로 충분할 거다. 인생을 바꿀 거라고까진 안 하겠지만,

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댓글 27

  • @DraftLogic_ 댓글 ♥ 0

    @petergostev Would you recommend it even for coding on a 20$ plus plan over Sol?

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  • @reddygtvs 댓글 ♥ 3

    @petergostev Is it any faster tok/s wise? Thinking of getting back to a plus plan to try it out

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  • @ThisisChrisjin 댓글 ♥ 2

    @petergostev Thoughts about it as a daily driver for openclaw agents, unless its coding work etc??

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  • @eapyk 댓글 ♥ 0

    @petergostev gpt 6.1 sol very good for 20$ budget and also good usage tbh

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  • @arb5z 댓글 ♥ 0

    @petergostev felt like a simpler sol after a bit. what did it get wrong?

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  • @darrensy_s 댓글 ♥ 0

    @petergostev And it is really fast as well, just tried with video editing

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  • @ceasarxuu 댓글 ♥ 0

    @petergostev 我只是不希望它像 sol 那样慢,太慢了太慢了,做不了任何工作

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  • @YuchaoShang 댓글 ♥ 0

    @petergostev “non-frontier model that crosses the threshold” seems very interesting, I think there will have lots of open source models with exact descriptions coming out and competing on cost efficiency.

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  • @BlackthorneAI 댓글 ♥ 0

    @petergostev The best model isn't always the smartest one, it's the one you can afford to keep working. Terra sounds like a strong default for everyday tasks, while Sol still earns its place when the extra reasoning matters. This comment was written with Terra 6.1, using @CryptoReplyGuy1.

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  • @nixus404 댓글 ♥ 1

    @petergostev Aún estoy apenas empezando a probar 6.1 Terra y por ahora en 2 pruebas que hice contra 6.1 Sol ha sido de media 6 veces más rápido Terra!!!!! Que locura de rapidez⚡️

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  • @GrimbergYuval 댓글 ♥ 0

    @petergostev So basically tell 6.1 sol to plan and verify 6.1 terra as his worker?

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  • @Ooommm59You 댓글 ♥ 0

    @petergostev For 20$ is it going to replace Deepseek-v4.1-flash for me? better quality?

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  • @PHATPHAT7 댓글 ♥ 0

    @petergostev That’s a meaningful shift if it feels good enough for everyday use without constantly needing the frontier model oneself

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  • @victoria_neiman 댓글 ♥ 0

    @petergostev agreed on the sol vs terra take. in our code gen test terra built the whole scene for $0.95 in 31 minutes. opus was prettier light but 5x the cost. for most workloads sol is overkill now https://x.com/thehypedotnews/status/2114799954619490582?s=20

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  • @jonnyboy 댓글 ♥ 3

    @petergostev 6.1 terra feels like it was optimized to run dots for $20 / month users

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  • @YourAKShaw 댓글 ♥ 0

    This might be Terra's biggest win: becoming the default workhorse rather than another benchmark champion. For long-running agents, stretching usage limits matters enormously. Have you noticed any difference in how Terra handles blockers, retries, or context-heavy tasks compared to Sol?

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  • @jjmilano 댓글 ♥ 0

    @petergostev I've been using GPT-6.1-Terra for a bit, it did a lot of work but the 5hours limit drained fast as usual. but in the other hand it accomplished a lot of what i asked for or partially smh

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  • @shaunralston 댓글 ♥ 0

    @petergostev Agreed Peter . . . Funny how parts of X judge a model by how well it plays Minecraft, while dismissing what matters to businesses: reliability, cost, and getting real work done. If you care about applied AI, Terra is a big deal. Not every breakthrough needs to win a video game.

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  • @QuantizedDen 댓글 ♥ 1

    @petergostev it's promising in terms of pricing, but it's very lazy https://x.com/atomic_chat_hq/status/2114811032816476638?s=20

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  • @THEJATMN 댓글 ♥ 0

    @petergostev Im having a hell of a time trying to use terra 6.1 it just keeps giving up on its own tasks and refusing to complete them.

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  • @mktpavlenko 댓글 ♥ 0

    @petergostev "Don't mind using" is an underrated bar. Most people don't need the best model, they need one that doesn't make them check every answer twice.

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  • @OhChadol 댓글 ♥ 0

    @petergostev 속도가 빠르고+작은단위로 시킨것만 잘 한다면 최고의 모델 아닐까요

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  • @whb0821 댓글 ♥ 2

    @petergostev 模型选择越来越务实了。日常任务用便宜、稳定的模型,难题再交给最强的模型,长期算下来可能更划算。以后拼的不是谁只用一个顶级模型,而是谁更会分配任务。

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