GPT-5.6 Terra Pro vs Kimi K3.1 Pro

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on November 14, 2026· 230 models

OpenAITerra Pro

GPT-5.6 Terra Pro is the same underlying model as GPT-5.6 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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Reasoning estimated
Speed estimated
Input
Output
Context
▲1.1 M tokens
Max output
128 K
Input, $ per 1M tokens
$2.00
Output, $ per 1M tokens
$12.00
Cache read, $ per 1M
$0.200
Batch (input / output)
$1.00 / $6.00
Tool calling
Yes
Released
07/09/2026
Knowledge cutoff
2026-02-16
API id
openai/gpt-5.6-terra-pro
MoonshotK3.1 Pro

Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.

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Reasoning estimated
Speed estimated
Input
Output
Context
1 M tokens
Max output
▲944 K
Input, $ per 1M tokens
$2.00
Output, $ per 1M tokens
▲$10.00
Cache read, $ per 1M
$0.200
Batch (input / output)
$0.700 / $6.00
Tool calling
Yes
Released
▲10/23/2026
Knowledge cutoff
—
API id
moonshotai/kimi-k3.1-pro
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: GPT-5.6 Terra Pro vs Kimi K3.1 Pro?

  • Kimi K3.1 Pro: cheapest output
  • GPT-5.6 Terra Pro: largest context (1.1 M)
  • Kimi K3.1 Pro: the newest (10/23/2026)

Pricing is split: GPT-5.6 Terra Pro wins on input and Kimi K3.1 Pro wins on output. GPT-5.6 Terra Pro accepts more context (1.1 M). GPT-5.6 Terra Pro and Kimi K3.1 Pro offer a batch tier at half price for jobs that do not need an immediate answer.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

GPT-5.6 Terra Pro
$78.00/mo
Kimi K3.1 Pro
$70.00/mo

With Kimi K3.1 Pro you save $8.00 a month versus GPT-5.6 Terra Pro (10% less).

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Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Claude Haiku 5.5 Anthropic$0.008
  2. 2GPT-5.6 Terra Pro OpenAI$0.152
  3. 3Kimi K3.1 Pro Moonshot$0.152
  4. 4Claude Sonnet 5.5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.2 Anthropic$0.608
  8. 8Claude Fable 5.1 Anthropic$0.760

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Frequently asked questions

Which is the better API choice: GPT-5.6 Terra Pro vs Kimi K3.1 Pro?

Pricing is split: GPT-5.6 Terra Pro wins on input and Kimi K3.1 Pro wins on output. GPT-5.6 Terra Pro accepts more context (1.1 M). GPT-5.6 Terra Pro and Kimi K3.1 Pro offer a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: GPT-5.6 Terra Pro and Kimi K3.1 Pro?

GPT-5.6 Terra Pro is cheaper: $2.00 per million input tokens and $12.00 per million output tokens, versus $2.00 / $10.00 for Kimi K3.1 Pro.

Which has more context: GPT-5.6 Terra Pro and Kimi K3.1 Pro?

GPT-5.6 Terra Pro accepts 1.1 M tokens of context; Kimi K3.1 Pro accepts 1 M.

Which is newer: GPT-5.6 Terra Pro and Kimi K3.1 Pro?

Kimi K3.1 Pro was released on 10/23/2026; GPT-5.6 Terra Pro on 07/09/2026.

What would 10,000 requests a month cost with GPT-5.6 Terra Pro and Kimi K3.1 Pro?

With 1,500 input and 400 output tokens per request: GPT-5.6 Terra Pro: $78.00; Kimi K3.1 Pro: $70.00 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.