GPT-6.1 Terra vs MiMo-V2.6-Flash
GPT-6.1 Terra and MiMo-V2.6-Flash are closely matched at 47.6 and 44.7 on the LLM Stats Score. MiMo-V2.6-Flash is 11.4x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-6.1 Terra and MiMo-V2.6-Flash are closely matched on the overall LLM Stats Score at 47.6 and 44.7.
In the 2 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, MiMo-V2.6-Flash is roughly 11.4x 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
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- 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 MiMo-V2.6-Flash
- cost matters — it's about 11.4x 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
9 reported for GPT-6.1 Terra · 16 for MiMo-V2.6-Flash
GPT-6.1 Terra outperforms in 2 benchmarks (Agents' Last Exam, Terminal-Bench 4.0), while MiMo-V2.6-Flash is better at 0 benchmarks.
GPT-6.1 Terra significantly outperforms across most benchmarks.
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 7.1x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 17.9x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than MiMo-V2.6-Flash.*
* 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 MiMo-V2.6-Flash's 1,048,576 tokens. Only GPT-6.1 Terra specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6.1 Terra and MiMo-V2.6-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6.1 Terra
MiMo-V2.6-Flash
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while MiMo-V2.6-Flash 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 MiMo-V2.6-Flash was released on 2026-09-22.
GPT-6.1 Terra is 1 month newer than MiMo-V2.6-Flash.
Oct 26, 2026
1 weeks ago
1mo newerSep 22, 2026
1 months ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while MiMo-V2.6-Flash'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 MiMo-V2.6-Flash's cutoff date.
Jun 2026
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Provider Availability
GPT-6.1 Terra is available from OpenAI. MiMo-V2.6-Flash is available from Xiaomi.
GPT-6.1 Terra
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs MiMo-V2.6-Flash.