GPT-6.1 Terra vs Llama 3.1 8B Instruct
GPT-6.1 Terra leads the LLM Stats Score 47.5 to -3.0. Llama 3.1 8B Instruct is 88.9x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to -3.0, ranking #36 overall.
On price, Llama 3.1 8B Instruct is roughly 88.9x 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 coding — 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 Llama 3.1 8B Instruct
- cost matters — it's about 88.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for GPT-6.1 Terra · 18 for Llama 3.1 8B Instruct
GPT-6.1 Terra and Llama 3.1 8B Instructdon'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 50.0x more expensive than Llama 3.1 8B Instruct ($0.02/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 166.7x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Llama 3.1 8B Instruct.*
* 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 Llama 3.1 8B Instruct's 131,072 tokens. Llama 3.1 8B Instruct 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 Llama 3.1 8B Instruct 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
Llama 3.1 8B Instruct
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while Llama 3.1 8B Instruct uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
GPT-6.1 Terra was released on 2026-10-26, while Llama 3.1 8B Instruct was released on 2024-07-23.
GPT-6.1 Terra is 28 months newer than Llama 3.1 8B Instruct.
Oct 26, 2026
4 days ago
2.3yr newerJul 23, 2024
2.3 years ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a knowledge cutoff of 2026-06-01, while Llama 3.1 8B Instruct has a cutoff of 2023-12-31.
GPT-6.1 Terra has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Llama 3.1 8B Instruct (2023-12-31).
Jun 2026
2.5 yr newerDec 2023
Provider Availability
GPT-6.1 Terra is available from OpenAI. Llama 3.1 8B Instruct is available from DeepInfra, Lambda, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock.
GPT-6.1 Terra
Llama 3.1 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Llama 3.1 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Llama 3.1 8B Instruct.