# Kimi K2.5 vs Qwen3.6 Plus

On provider list prices, Kimi K2.5 costs $0.50 per million input tokens against $0.50 for Qwen3.6 Plus: effectively level. Output is $2.80 against $3 (1.1x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Kimi K2.5 | Qwen3.6 Plus |
| --- | --- | --- |
| Lab | Togethercomputer | Qwen |
| Access | Open weights | API only |
| Context window | 256K tokens | 1M tokens |
| List price, input | $0.50 / M tokens | $0.50 / M tokens |
| List price, output | $2.80 / M tokens | $3 / M tokens |
| Cached input | n/a | n/a |
| License | Not listed | Proprietary API |
| Fine-tunable | Yes | No |

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 $1,580 a month on Kimi K2.5 and $1,650 on Qwen3.6 Plus at list: a gap of $70.

Qwen3.6 Plus 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 Kimi K2.5 for

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

## Choose Qwen3.6 Plus for

- The longer context window (1M vs 256K tokens)

## Common questions

### Which is cheaper, Kimi K2.5 or Qwen3.6 Plus?

Kimi K2.5, on this workload shape. At list prices it is $0.50/$2.80 per million tokens in and out against $0.50/$3 for Qwen3.6 Plus. Billed on Allocate: $0.54/$3.00 against $0.54/$3.21, list plus 7%.

### Which has the bigger context window?

Qwen3.6 Plus: 1,000,000 tokens (1M) against 262,144 (256K) for Kimi K2.5.

### Can I fine-tune Kimi K2.5 or Qwen3.6 Plus?

Kimi K2.5 publishes open weights (Not listed) and can be fine-tuned on your own data. Qwen3.6 Plus is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/kimi-k2-5-vs-qwen-qwen3-6-plus) · [Kimi K2.5](https://allocate.network/models/kimi-k2-5.md) · [Qwen3.6 Plus](https://allocate.network/models/qwen-qwen3-6-plus.md) · [Machine-readable catalog](https://allocate.network/catalog.json)