GPT-6.1 Terra vs Kimi K2-Thinking-0905
GPT-6.1 Terra leads the LLM Stats Score 47.5 to 35.4. Kimi K2-Thinking-0905 is 2.3x cheaper per token.
OpenAI · Moonshot AI · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 35.4, ranking #36 overall.
In the 1 individual benchmarks reported for both models, Kimi K2-Thinking-0905 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2-Thinking-0905 is roughly 2.3x 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 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 Kimi K2-Thinking-0905
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 2.3x 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 · 21 for Kimi K2-Thinking-0905
GPT-6.1 Terra outperforms in 0 benchmarks, while Kimi K2-Thinking-0905 is better at 1 benchmark (HealthBench).
Kimi K2-Thinking-0905 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 2.1x more expensive than Kimi K2-Thinking-0905 ($0.47/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 2.5x more expensive than Kimi K2-Thinking-0905 ($2.00/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Kimi K2-Thinking-0905.*
* 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 Kimi K2-Thinking-0905's 262,144 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 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 Kimi K2-Thinking-0905 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
Kimi K2-Thinking-0905
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while Kimi K2-Thinking-0905 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 Kimi K2-Thinking-0905 was released on 2025-09-05.
GPT-6.1 Terra is 14 months newer than Kimi K2-Thinking-0905.
Oct 26, 2026
1 days ago
1.1yr newerSep 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Kimi K2-Thinking-0905'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 Kimi K2-Thinking-0905's cutoff date.
Jun 2026
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Provider Availability
GPT-6.1 Terra is available from OpenAI. Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks.
GPT-6.1 Terra
Kimi K2-Thinking-0905
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Kimi K2-Thinking-0905 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Kimi K2-Thinking-0905.