GPT-6.1 Terra vs Mercury 3
GPT-6.1 Terra leads the LLM Stats Score 47.5 to 35.9. Mercury 3 is 12.3x cheaper per token.
OpenAI · Inception · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 35.9, ranking #36 overall.
On price, Mercury 3 is roughly 12.3x 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 GPT-6.1 Terra
- overall performance matters — it scores 47.5 and ranks #36 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Mercury 3
- cost matters — it's about 12.3x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
8 reported for GPT-6.1 Terra · 12 for Mercury 3
GPT-6.1 Terra and Mercury 3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6.1 Terra ($1.00/1M tokens) is 10.0x more expensive than Mercury 3 ($0.10/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 14.3x more expensive than Mercury 3 ($0.35/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Mercury 3.*
* 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 Mercury 3's 1,000,000 tokens. Mercury 3 can generate longer responses up to 131,072 tokens, while GPT-6.1 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Terra supports multimodal inputs, whereas Mercury 3 does not.
GPT-6.1 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6.1 Terra
Mercury 3
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
GPT-6.1 Terra was released on 2026-10-26, while Mercury 3 was released on 2026-10-19.
GPT-6.1 Terra is 0 month newer than Mercury 3.
Oct 26, 2026
1 days ago
1w newerOct 19, 2026
1 weeks ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Mercury 3'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 Mercury 3's cutoff date.
Jun 2026
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Provider Availability
GPT-6.1 Terra is available from OpenAI. Mercury 3 is available from Inception.
GPT-6.1 Terra
Mercury 3
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Mercury 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Mercury 3.