Gemini 4 Argon vs GPT-6.1 Terra
Gemini 4 Argon and GPT-6.1 Terra are closely matched at 54.4 and 47.5 on the LLM Stats Score. GPT-6.1 Terra is 2.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 4 Argon and GPT-6.1 Terra are closely matched on the overall LLM Stats Score at 54.4 and 47.5.
In the 3 individual benchmarks reported for both models, GPT-6.1 Terra wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-6.1 Terra is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 4 Argon
- you want predictable pricing at $2.00/M input and $10.00/M output
Choose GPT-6.1 Terra
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 2.0x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Gemini 4 Argon · 8 for GPT-6.1 Terra
Gemini 4 Argon outperforms in 1 benchmarks (Terminal-Bench 4.0), while GPT-6.1 Terra is better at 2 benchmarks (Agents' Last Exam, Terminal-Bench-Science 0.1).
GPT-6.1 Terra shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 4 Argon ($2.00/1M tokens) is 2.0x more expensive than GPT-6.1 Terra ($1.00/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 2.0x more expensive than GPT-6.1 Terra ($5.00/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than GPT-6.1 Terra.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Terra accepts 1,050,000 input tokens compared to Gemini 4 Argon's 1,048,576 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while GPT-6.1 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and GPT-6.1 Terra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
GPT-6.1 Terra
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while GPT-6.1 Terra was released on 2026-10-26.
GPT-6.1 Terra is 1 month newer than Gemini 4 Argon.
Sep 30, 2026
4 weeks ago
Oct 26, 2026
3 days ago
3w newerKnowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Gemini 4 Argon's cutoff date is not specified.
We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.
—
Jun 2026
Provider Availability
Gemini 4 Argon is available from Google. GPT-6.1 Terra is available from OpenAI.
Gemini 4 Argon
GPT-6.1 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and GPT-6.1 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs GPT-6.1 Terra.