GPT-6.1 Sol Telah Rilis: Nyaris Setara Astra dengan Harga Seperlima, Sepekan Setelah Model yang Digantikannya

Open​AI released GPT-6.1 Sol on September 29, 2026, at its DevDay 2026 keynote — a refresh of the GPT-6 Sol tier that shipped exactly one week earlier, repriced nowhere, and aimed squarely at a model costing five times as much. The headline numbers are unchanged from the model it replaces: $2.00 per million input tokens and $10.00 per million output tokens. The number that did move is the one most agent workloads actually pay: cached input fell from $0.20 to $0.10 per million tokens, half of GPT-6 Sol's rate and a tenth of GPT-6 Astra's. Open​AI's own framing is that GPT-6.1 Sol "nearly matches" GPT-6 Astra's intelligence on agentic coding, computer use and professional work at one-fifth of Astra's standard token prices, and that is a vendor claim, not a measured one — as of September 30 no independent evaluator has published a single score for the model. What follows separates the two.

Apa yang dirilis, dan di mana catatan itu berada

The release is unusually well documented for a DevDay announcement. Within hours there was a model page at developers.openai.com, a pricing block, a system-card addendum at deploymentsafety.openai.com, and a commit in the vendor's own public API schema titled "Add gpt-6.1-sol model to model enums," timestamped 17:16 UTC on September 29. Open​AI's developer changelog, by contrast, still ends at the September 22 entry that announced GPT-6 Sol and GPT-6 Luna — the 6.1 entry has not been written up there, so the model page and the launch post are the primary record. The resolution matters because there is no second-generation snapshot to point at: the page's snapshot list contains one identifier, gpt-6.1-sol, with no dated variant, so "GPT-6.1 Sol" and the deployment you call today are the same thing.

Bentuknya, berdampingan dengan apa yang digantikannya:

• Pengenal — gpt-6.1-sol, satu snapshot vs gpt-6-sol tanpa varian bertanggal juga
• Konteks — 1.050.000 token dan 128.000 token keluaran maksimum untuk keduanya; halaman 6.1 menyatakan kedua angka tersebut secara eksplisit, sedangkan halaman 6.0 justru mendokumentasikan masukan maksimum 922.000 token
• Batas pengetahuan — 30 April 2026 vs 20 April 2026
• Upaya penalaran — rendah, sedang (default), tinggi, xhigh, maks, dengan tidak ada dan minimal tidak didukung vs rangkaian yang sama ditambah tidak ada
• Harga — $2,00 masuk / $0,10 di-cache / $2,50 penulisan cache / $10,00 keluar per juta token vs $2,00 / $0,20 / $2,50 / $10,00
• Prompt panjang — di atas 272K token masukan, seluruh permintaan dihargai ulang pada 2× tarif masukan dan cache serta 1,5× keluaran, identik pada kedua model
• Ketersediaan — Plus, Pro, Business, Enterprise dan Edu di ChatGPT Work dan Codex, ditambah API; secara eksplisit tidak ada dalam produk Chat konsumen
• Domisili — domisili data AS dan UE didukung, dengan mode cepat tidak tersedia di bawah domisili UE
• Alat — pencarian web, pencarian file, pembuatan gambar, interpreter kode, shell terkelola, apply patch, keterampilan, penggunaan komputer, MCP dan pencarian alat, semuanya didukung melalui Responses API
• Penyempurnaan — tidak didukung pada keduanya

Satu bentuk API yang perlu ditandai sebelum Anda bermigrasi: GPT-6.1 Sol mendukung Chat Completions, tetapi pemanggilan tool memerlukan Responses API. Pada GPT-6 Sol, batasannya adalah kebalikan yang berdekatan — pemanggilan fungsi di Chat Completions hanya berfungsi dengan reasoning_effort: "none". Jika stack Anda memanggil tool melalui /v1/chat/completions, itu adalah perubahan kode, bukan penggantian model.

Klaim tolok ukur, diberi label sebagai klaim

Every number in this section is Open​AI's, published in the launch post, and none of them has been reproduced by anyone outside Open​AI yet. They are worth reading in full because the pattern across them is consistent — the gains over GPT-6 Sol are real but the framing that travels is the Astra comparison, and the Astra comparison is always a cost comparison.

• DeepSWE v1.1, complex software-engineering tasks in real codebases — Open​AI reports GPT-6.1 Sol matching GPT-6 Astra at roughly one-fifth of the cost, and beating GPT-6 Sol's best score by 6.4 percentage points at a lower reasoning effort and lower cost.
• GDP.pdf, professional questions over complex PDF documents — Open​AI reports GPT-6.1 Sol scoring above Claude Opus 5.5 with fallbacks at less than half the cost per task across tested reasoning settings, and approaching Astra's state-of-the-art result at roughly one-fifth the cost per task.
• AutomationBench 1.0.6, multi-step business workflows across 47 tools — Open​AI reports 2.2 percentage points above Claude Opus 5.5 at medium reasoning effort at roughly a third of the cost, and 4.8 points above GPT-6 Sol at the same setting.
• OSWorld 2.0 offline set, long-horizon computer use — Open​AI reports a seven-point improvement over GPT-6 Sol at maximum reasoning effort at less than half the cost, and a result within 2.1 points of Astra at roughly one-seventh the cost per task.
• Terminal-Bench Science 0.1, scientific workflows — Open​AI reports GPT-6.1 Sol more than doubling GPT-6 Sol's score at maximum effort at less than half the cost per task, at $5.47 per task on average against $23.21 for Claude Opus 5.5 and $23.80 for Astra. Open​AI also states that Astra still holds the top score among models it tested at 68.1% and should be used for the hardest scientific work — a usefully un-marketing sentence.
• Factuality — on de-identified conversations where users had flagged an earlier model's error, Open​AI reports the share of responses containing a factual error falling from 11.4% to 7.7% at low reasoning effort, a reduction of about 32%, with the error rate staying within 1.9 points of Astra's across tested settings at less than one-fifth the cost per task.

Two of those deserve translation. First, the factuality evaluation runs on prompts deliberately chosen because a previous model got them wrong; Open​AI says so in the post, and it means the 11.4% and 7.7% describe a hostile slice of traffic, not your traffic. Second, the paragraph that reads most strongly for the model is the one about search-tool transparency in the safety addendum: on tasks built to elicit failures at maximum reasoning effort, GPT-6.1 Sol fails to tell the user that its search tool is broken in 2.1% of cases, against 4.9% for GPT-6 Sol, 1.5% for GPT-6 Astra and 28.7% for GPT-6 Luna. That is the kind of number that decides whether an agent is deployable, and it is also, again, the vendor's own.

Catatan independen itu kosong, dan itulah inti ceritanya.

Artificial Analysis — papan pihak ketiga yang diperlakukan blog ini sebagai rujukan netral — tidak memiliki entri GPT-6.1 Sol. URL modelnya untuk slug 6.1 Sol mengembalikan 404, dan string tersebut tidak muncul dalam HTML papan peringkat yang aktif. Yang dimiliki papan tersebut adalah evaluasi lengkap GPT-6 Sol pada upaya penalaran maksimum: Intelligence Index 48, biaya $1,06 per tugas indeks, 77 juta token keluaran yang dihasilkan saat menjalankan indeks dibandingkan median papan sebesar 88 juta, dan Coding Agent Index 57 dengan biaya $2,99 per tugas. Angka-angka itu adalah jangkar independen terdekat untuk model yang digantikan GPT-6.1 Sol, dan itulah yang pada akhirnya harus menjadi tolok ukur bagi klaim 6.1 mana pun.

Until that entry appears, anyone quoting a 6.1 Sol score against another model is quoting Open​AI against Open​AI. That is not a reason to distrust the launch post; it is a reason to run your own evaluation set before you move a production path. The vendor gives an unusually concrete instruction on this itself: Open​AI tells developers already using GPT-6 Sol to review the migration guidance before switching, and the migration guidance tells them to compare configurations on representative tasks rather than assuming the highest effort is the best trade-off.

Potongan input yang di-cache adalah bagian yang sebenarnya mengubah tagihan

Daftar harga yang tidak berubah tetapi tarif cache yang menjadi separuh mudah untuk dilewatkan, dan itu adalah baris paling berdampak dalam rilis ini bagi siapa pun yang menjalankan agen. Input yang di-cache dengan harga $0,10 per juta token adalah 5% dari tarif input tanpa cache, setengah dari tarif cache GPT-6 Sol, dan — dibandingkan dengan input cache GPT-6 Astra sebesar $1,00 — sepersepuluh dari tarif unggulan. Loop agen yang mengirim ulang prefiks stabil ribuan kali hampir sepenuhnya bergantung pada baris itu. Bulan agen yang sama dengan 200 juta token yang akan menagih sekitar $40 untuk input cache pada GPT-6 Sol menagih sekitar $20 pada GPT-6.1 Sol; pada GPT-6 Astra lalu lintas cache yang sama adalah $200.

The arithmetic never gets that clean in production, because cache reads only bill at that rate when the prefix actually hits, and Open​AI notes that changing reasoning effort or the available tool set no longer invalidates a cache entry the way it once did — which is the quiet fix that makes the cache line usable in an agent loop at all. The other threshold to watch is unchanged: cross 272,000 input tokens and the entire request reprices at twice the input and cache rates and 1.5× the output rate. Batch and Flex run 50% below standard, fast mode runs at 2× standard, and regional processing adds a 10% premium where it is available.

Apa yang belum dirilis, dan apa artinya untuk perutean

Open​AI says GPT-6.1 Sol Ultrafast arrives "in the coming days" in Codex at up to 8× faster token generation, with no price attached. That is a promise, not a product, and it is worth naming as such: there is no Ultrafast rate card for the 6.1 tier today, and Open​AI has not said whether the 8× figure is measured against standard speed or against fast mode, which is itself priced at 2× standard. Treat the announcement as a scheduling signal and price it when a number appears.

On our side, honestly: GPT-6.1 Sol is not on OrcaRouter's routes yet. The public catalogue endpoint returns "model not found" for openai/gpt-6.1-sol today, and our Open​AI slate carries GPT-6 Astra, GPT-6 Sol and GPT-6 Luna. What is callable on OrcaRouter right now is GPT-6 Sol at Open​AI's own list price with zero markup — the $2.00 / $0.20 / $10.00 rate card, and the 272K repricing rule, passed through exactly as the vendor lists it. That matters more than usual this week for a specific reason: the same pass-through means if Open​AI cuts the 6.1 tier's price, or attaches a number to Ultrafast, the change is live on our side the same day it is live on Open​AI's, with no second contract to renegotiate. When 6.1 Sol lands on the routes it will appear in the catalogue at the vendor's price like everything else, and until then the honest answer is that the model it replaces is the one you can call.

Versi praktis dari keputusan ini: jika Anda sudah memakai GPT-6 Sol dan beban kerja Anda berat cache, agentik, atau berhorizon panjang, pembaruan 6.1 meningkatkan tepat dimensi-dimensi yang Anda bayar, dan migrasinya adalah perubahan string model plus peralihan dari Chat-Completions ke Responses jika Anda menggunakan alat. Jika beban kerja Anda adalah pembuatan dengan prompt pendek dan sedikit penggunaan ulang, rilis ini hampir tidak mengubah apa pun bagi Anda — harga input sama, harga output sama, jendela sama. Dan jika Anda menunggu skor pihak ketiga sebelum berkomitmen, penantian itu masih terbuka.