# Gemini 3.1 Pro vs Kimi K2.7 Code

On provider list prices, Kimi K2.7 Code costs $0.95 per million input tokens against $2 for Gemini 3.1 Pro: 2.1x apart. Output is $4 against $12 (3.0x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Gemini 3.1 Pro | Kimi K2.7 Code |
| --- | --- | --- |
| Lab | Google | Moonshot AI |
| Access | API only | Open weights |
| Context window | 1M tokens | 256K tokens |
| List price, input | $2 / M tokens | $0.95 / M tokens |
| List price, output | $12 / M tokens | $4 / M tokens |
| Cached input | n/a | $0.19 / M tokens |
| License | Proprietary API | Not listed |
| Fine-tunable | No | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $2,540 a month on Kimi K2.7 Code and $6,600 on Gemini 3.1 Pro at list: a gap of $4,060, or 2.6x.

Gemini 3.1 Pro reads 1M tokens per request against 256K for Kimi K2.7 Code, 3.8x the window. That decides which one can take whole documents without splitting them.

## Choose Gemini 3.1 Pro for

- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash

## Choose Kimi K2.7 Code for

- The lower list price ($0.95 in / $4 out per M tokens)
- Open weights you can fine-tune and own
- Published cached-input pricing ($0.19 per M tokens)

## Common questions

### Which is cheaper, Gemini 3.1 Pro or Kimi K2.7 Code?

Kimi K2.7 Code, on this workload shape. At list prices it is $0.95/$4 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $1.02/$4.28 against $2.14/$12.84, list plus 7%.

### Which has the bigger context window?

Gemini 3.1 Pro: 1,000,000 tokens (1M) against 262,144 (256K) for Kimi K2.7 Code.

### Can I fine-tune Gemini 3.1 Pro or Kimi K2.7 Code?

Kimi K2.7 Code publishes open weights (Not listed) and can be fine-tuned on your own data. Gemini 3.1 Pro is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/google-gemini-3-1-pro-vs-moonshotai-kimi-k2-7-code) · [Gemini 3.1 Pro](https://allocate.network/models/google-gemini-3-1-pro.md) · [Kimi K2.7 Code](https://allocate.network/models/moonshotai-kimi-k2-7-code.md) · [Machine-readable catalog](https://allocate.network/catalog.json)