One chat reply3,000 tokens in, 500 outGPT-6.1 Terra costs 1.3× as much as Gemini 3.8 Flash
$0.0041
$0.0055
Summarise a 100-page report50,000 tokens in, 1,500 out, one request
$0.04
$0.06
1,000 classification calls500 tokens in, 20 out, per call
$0.45
$0.60
Coding-agent session2M tokens in across ~60 turns, 60,000 out, no cache
$1.73
$2.30
Same session, cached85% of input read from the prompt cache, the rest written to it
$0.58
$0.76
At listed rates. Token counts are typical sizes, not measurements.
Gemini 3.8 Flash pricing notes
Introductory rate through 2026-12-31; Google's price doubles to $1.50 / $7.50 per 1M tokens from 2027-01-01.
Cache hits bill at $0.075 per 1M tokens through 2026 and $0.15 from 2027.
Thinking tokens bill as output; thinking runs at low, medium or high, and the minimal level is rejected.
GPT-6.1 Terra pricing notes
Requests over 272K input tokens bill the entire request at 2x the input and cache rates and 1.5x the output rate; the listed price is the short-context rate.
Cache hits bill at $0.05 per 1M tokens; cache writes cost $1.25 (30-minute) or $2.50 (12-hour).
Google's Flash-tier Gemini model, built for long-horizon software engineering, autonomous agents and enterprise workflows. Google replaced Gemini 3.7 Flash with it at the same introductory rate; it costs less than Gemini 4 Argon and Gemini 3.1 Pro.
Pick it if
you want agentic coding at under half of Gemini 4 Argon's price
you send images, video, audio or PDFs alongside text
you resend long prompts; cache hits bill at 10% of input
Skip it if
the cheaper Gemini 3.5 Flash Lite already covers your workload
your budget assumes today's rate holds past 2026-12-31
OpenAI's GPT-6.1 Terra is a fast, efficient model for visual reasoning, precise computer use and natural writing. At $1 / $5 it costs half of GPT-6.1 Sol and sits above GPT-6 Luna; it replaces GPT-5.6 Terra.
Pick it if
your prompts mix text and images and you want half of GPT-6.1 Sol's token price
you resend long prompts; cache hits bill at 5% of input
you want reasoning switched off entirely; Terra accepts reasoning effort none
Skip it if
GPT-6 Luna at $0.10 / $0.50 covers your workload
your prompts often pass 272K input tokens; the whole request then bills higher
FAQ
Which is better, Gemini 3.8 Flash or GPT-6.1 Terra?
On Terminal-bench 4.0, as each maker reports it, Gemini 3.8 Flash scores 19.1% and GPT-6.1 Terra 50.3%. These are each maker's own numbers, not a controlled head-to-head; the spec table lists every benchmark both publish.
Which is cheaper, Gemini 3.8 Flash or GPT-6.1 Terra?
Gemini 3.8 Flash lists lower input and output prices. On a coding-agent session (2M tokens in, 60,000 out) Gemini 3.8 Flash costs $1.73 and GPT-6.1 Terra $2.30.
Can I switch between Gemini 3.8 Flash and GPT-6.1 Terra mid-task?
Yes. In an Octomind session, /model octohub:gemini-3.8-flash and /model octohub:gpt-6.1-terra switch models without losing the conversation, so you can draft on one and review on the other.
Try either model
Switch between models inside the same Octomind session.