# Gemini 3.5 Flash vs Kimi K2.5

On provider list prices, Kimi K2.5 costs $0.50 per million input tokens against $1.50 for Gemini 3.5 Flash: 3.0x apart. Output is $2.80 against $9 (3.2x).

## Specifications

| | Gemini 3.5 Flash | Kimi K2.5 |
| --- | --- | --- |
| Lab | Google | Togethercomputer |
| Access | API only | Open weights |
| Context window | 1M tokens | 256K tokens |
| List price, input | $1.50 / M tokens | $0.50 / M tokens |
| List price, output | $9 / M tokens | $2.80 / M tokens |
| Cached input | n/a | n/a |
| License | Proprietary API | Not listed |
| Fine-tunable | No | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $1,580 a month on Kimi K2.5 and $4,950 on Gemini 3.5 Flash at list: a gap of $3,370, or 3.1x.

Gemini 3.5 Flash reads 1M tokens per request against 256K for Kimi K2.5, 3.8x the window. That decides which one can take whole documents without splitting them.

## Choose Gemini 3.5 Flash for

- High-volume support and triage
- Document extraction at scale
- Vision and OCR pipelines

## Choose Kimi K2.5 for

- Whole-document reasoning
- Long-context retrieval
- Open-weight fine-tuning

## Common questions

### Which is cheaper, Gemini 3.5 Flash or Kimi K2.5?

Kimi K2.5, on this workload shape. At list prices it is $0.50/$2.80 per million tokens in and out against $1.50/$9 for Gemini 3.5 Flash. Billed on Allocate: $0.54/$3.00 against $1.60/$9.63.

### Which has the bigger context window?

Gemini 3.5 Flash: 1,000,000 tokens (1M) against 262,144 (256K) for Kimi K2.5.

### Can I fine-tune Gemini 3.5 Flash or Kimi K2.5?

Kimi K2.5 publishes open weights (Not listed) and can be fine-tuned on your own data. Gemini 3.5 Flash is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/gemini-3-5-flash-vs-kimi-k2-5) · [Gemini 3.5 Flash](https://allocate.network/models/gemini-3-5-flash.md) · [Kimi K2.5](https://allocate.network/models/kimi-k2-5.md) · [Machine-readable catalog](https://allocate.network/catalog.json)