GPT-6.1 Terra Is Live on Multos — Mid-Tier 6.1 Intelligence at Flex Pricing
OpenAI's GPT-6.1 Terra landed October 26, 2026: 1.05M context, strong screenshot understanding, and GPQA Diamond in the low 90s at $1/$5 per million tokens — $0.50/$2.50 on flex. It's live on Multos Starter and above.
OpenAI released GPT-6.1 Terra on October 26, 2026 — the mid-tier model of the GPT-6.1 series, priced below GPT-6.1 Sol and built for everyday agentic, coding, and writing work. As of today it is live on Multos Starter and above, in the OpenAI group of the model dropdown. The short version: this is the 6.1-generation model most sessions should actually run on, because it keeps a surprising amount of its siblings' capability at a price that survives high volume.
What GPT-6.1 Terra Actually Is
Terra sits between GPT-6.1 Sol and GPT-6 Luna in OpenAI's lineup. It carries a 1,050,000-token context window with up to 128,000 output tokens, accepts tool calling and structured outputs, and supports the same reasoning-effort controls as the rest of the 6.1 family. OpenAI positions it for everyday agentic, coding, and writing work, and calls out one capability specifically: it is particularly strong at understanding screenshots and on-screen content — which matters for anything that involves reading a UI, verifying a rendered page, or driving a browser. Pricing is $1 per million input tokens and $5 per million output tokens at standard rates, with cached input at $0.05. On OpenAI's flex tier — which is what Multos uses — it drops to $0.50/$2.50 with cached input at $0.025.
Benchmarks: Mid-Tier Price, Upper-Tier Numbers
Independent numbers back the positioning. Artificial Analysis scores GPT-6.1 Terra at 48.1 on its Intelligence Index at max reasoning, with 46.2% on Humanity's Last Exam and 55.1% on SciCode. Vals AI, which ran the model at reasoning effort max, measured 84.0% on Vibe Code Bench v1.1 and 49.5% on Terminal-Bench 4.0; provider-level evals on OpenRouter put GPQA Diamond at 91%+. That Terminal-Bench range sits above what most flash-tier models post, and the GPQA Diamond score is frontier-adjacent. The honest read: Terra does not beat GPT-6.1 Sol or GPT-6 Astra on raw intelligence — that is what the price difference buys. What it does is hold a large fraction of their capability at a per-token cost built for volume, which is exactly the profile you want for the model that runs most of your everyday sessions.
What This Means for Building on Multos
Terra is live on Multos Starter and above. Because Multos serves it on OpenAI's flex tier, the effective blended cost at production cache-hit rates works out to roughly $0.22 per million tokens — flash-tier money for a 1.05M-context model with screenshot-level vision. It is wired into the same machinery as every other Multos model: Auto Router can select it, the fallback chain can land on it, and reasoning-effort controls apply per request if you want to trade speed for depth on hard steps. For building, the fit is everyday agentic work: multi-file edits, debugging, document understanding, and anything where the agent needs to read a screen. If GPT-6.1 Sol is the pick-when-it-matters model, Terra is the pick-by-default model — and on Starter it costs nothing extra to have both in the rotation.
Where to Find It
Find GPT-6.1 Terra in the OpenAI group of the model dropdown, available on Starter and above. Select it directly for sessions that need long context and screen understanding at high volume, or let Auto Router reach for it when the task calls for standard-tier capability without premium pricing.
Ready to Get Started?
GPT-6.1 Terra is live on Multos Starter and above — 1.05M context, strong screenshot understanding, and flex-tier pricing that blends near $0.22/M in production. Pick it from the OpenAI group or let Auto Router put it to work.
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