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- GPT-6.1 Terra vs. Gemini 4 Argon
GPT-6.1 Terravs.Gemini 4 Argon
Which one is better?
Gemini 4 Argon is clearly ahead in the overall index, but costs twice as much per token.
GPT-6.1 Terra
Rank 12 to 27
Gemini 4 Argon
Rank 2 to 7
GPT-6.1 Terra
fairly slow
Gemini 4 Argon
fairly slow
GPT-6.1 Terra
fairly expensive
Gemini 4 Argon
fairly expensive
GPT-6.1 Terra
- Subscription
Subscriptions in Germany: n/a
- Via API
$1 input, $5 output per 1M tokens.
Gemini 4 Argon
- Subscription
At Google DeepMind from €21.99 a month (Google AI Pro, with limited credits). Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 28 plans in Germany.
- Via API
$2 input, $10 output per 1M tokens.
- Note
- There is a successor: Gemini 4 Carbon (rank 1 to 5).
Overall index with data through Oct 29, 2026 · Prices from Oct 29, 2026 · Speed: measured by Artificial Analysis · Subscriptions as of Oct 24, 2026 · Subscription prices incl. VAT
Where is the difference?
Values from 0 to 100 per task area. We only name a winner when the gap is large enough and there are enough tests.
GPT-6.1 Terra ahead: 0Gemini 4 Argon ahead: 4level: 2too little data: 4of 10 areas
Show 3 more areas that do not count toward the overall index
See for yourself: same task, one attempt
There is no shared test round for this selection. Results from different rounds are not mixed.
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6.1 Terra | Gemini 4 Argon |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 67 | 93 |
| Rank | Rank 12 to 27 of 95 | Rank 2 to 7 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $1above 272,000 tokens: $2 | $2 |
| Outputwhat the model writes | $5above 272,000 tokens: $7.50 | $10 |
| Speed | ||
| Tokens per second | 91 | 82 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 1.05 M tokens≈ 1,570 A4 pages |
| Knowledge cutoff | Jun 1, 2026 | n/a |
| Released | Oct 26, 2026 | Oct 13, 2026 |
| Availability | Active | Active |
| Open weights | no | no |
- GPT-6.1 Terra, 12-hour cache write: The table's cache-write rate covers 30-minute retention. With 12-hour retention it is $2.50 per 1M tokens through 272,000 input tokens, $5 above. Source
- GPT-6.1 Terra, Long-context billing: Above 272,000 input tokens, the higher rates apply to the entire request. Input and cache rates double, while output costs 1.5 times the standard rate. Source
- GPT-6.1 Terra, Batch and Flex pricing: 50% off standard pricing Source
- GPT-6.1 Terra, Fast pricing: Fast mode costs twice the standard price Source
- GPT-6.1 Terra, Regional processing: 10% surcharge over standard processing Source
- Gemini 4 Argon, Standard pricing through November 30, 2026: Per 1 million tokens: $2.00 input, $10.00 output including thinking, and $0.10 cached input. Source
- Gemini 4 Argon, Standard pricing from December 1, 2026: Per 1 million tokens: $4.00 input, $20.00 output including thinking, and $0.20 cached input. Source
- Gemini 4 Argon, Caching: Implicit caching only; explicit caching is not supported. Source
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: GPT-6.1 TerraB: Gemini 4 Argon
Show 54 more benchmarks
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