GPT-6.1 Terra vs Phi-3.5-mini-instruct
GPT-6.1 Terra leads the LLM Stats Score 47.5 to -4.3. Phi-3.5-mini-instruct is 20.0x cheaper per token.
OpenAI · Microsoft · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to -4.3, ranking #36 overall.
On price, Phi-3.5-mini-instruct is roughly 20.0x 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 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 Phi-3.5-mini-instruct
- cost matters — it's about 20.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
8 reported for GPT-6.1 Terra · 31 for Phi-3.5-mini-instruct
GPT-6.1 Terra and Phi-3.5-mini-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 10.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 50.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Phi-3.5-mini-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 Phi-3.5-mini-instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Terra supports multimodal inputs, whereas Phi-3.5-mini-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
Phi-3.5-mini-instruct
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while Phi-3.5-mini-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-6.1 Terra was released on 2026-10-26, while Phi-3.5-mini-instruct was released on 2024-08-23.
GPT-6.1 Terra is 26 months newer than Phi-3.5-mini-instruct.
Oct 26, 2026
1 days ago
2.2yr newerAug 23, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Phi-3.5-mini-instruct'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 Phi-3.5-mini-instruct's cutoff date.
Jun 2026
—
Provider Availability
GPT-6.1 Terra is available from OpenAI. Phi-3.5-mini-instruct is available from Azure.
GPT-6.1 Terra
Phi-3.5-mini-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Phi-3.5-mini-instruct.