GPT-6.1 Terra vs Kimi K2.7 Code
As of October 27, 2026, GPT-6.1 Terra costs 5% more per input token than Kimi K2.7 Code ($1.00 vs $0.95 per 1M) and has a 922K-token context window versus 256K.
GPT-6.1 Terra vs Kimi K2.7 Code side by side
| GPT-6.1 Terra | Kimi K2.7 Code | |
|---|---|---|
| Input, per 1M tokens | $1.00 | $0.95 |
| Output, per 1M tokens | $5.00 | $4.00 |
| Cache read, per 1M tokens | $0.05 | $0.19 |
| Cache write, per 1M tokens | $1.25 | – |
| Context window | 922,000 tokens | 262,144 tokens |
| Max output | 128,000 tokens | 262,144 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 4 | 17 |
| Price shown is from | OpenAI | Moonshot AI |
| Added to LiteLLM | October 26, 2026 | June 2026 |
Cheapest provider for each
- GPT-6.1 Terra: OpenAI at $1.00 input and $5.00 output per 1M tokens (
gpt-6.1-terra) - Kimi K2.7 Code: DeepInfra at $0.68 input and $3.40 output per 1M tokens (
deepinfra/moonshotai/Kimi-K2.7-Code)
When to pick which
Pick GPT-6.1 Terra for
- Larger context window: 922,000 vs 262,144 tokens.
Pick Kimi K2.7 Code for
- Costs 5% less per input token: $0.95 vs $1.00 per 1M.
- Returns up to 262,144 tokens per response, vs 128,000.
From differences in the data above only; where the data is equal, no reason is given.
Call GPT-6.1 Terra or Kimi K2.7 Code with LiteLLM
Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.
from litellm import completion
messages = [{"role": "user", "content": "Hello!"}]
# GPT-6.1 Terra
response = completion(model="gpt-6.1-terra", messages=messages)
# Kimi K2.7 Code
response = completion(model="moonshot/kimi-k2.7-code", messages=messages)
# GPT-6.1 Terra, falling back to Kimi K2.7 Code if the call fails
response = completion(model="gpt-6.1-terra", messages=messages, fallbacks=["moonshot/kimi-k2.7-code"])FAQ
Which is cheaper, GPT-6.1 Terra or Kimi K2.7 Code?
Kimi K2.7 Code is cheaper at 3 input tokens per output token: $1.712 per 1M tokens blended ($0.95 input, $4.00 output), versus $2.00 ($1.00 and $5.00) for GPT-6.1 Terra, as of October 27, 2026.
Which has the larger context window, GPT-6.1 Terra or Kimi K2.7 Code?
GPT-6.1 Terra has the larger context window: 922,000 tokens, versus 262,144 for Kimi K2.7 Code.
Can I switch from GPT-6.1 Terra to Kimi K2.7 Code without changing my code?
Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gpt-6.1-terra" to "moonshot/kimi-k2.7-code", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.