# Kimi K2.6 Fp4 vs GLM 5.1 FP4

On provider list prices, Kimi K2.6 Fp4 costs $1.20 per million input tokens against $1.40 for GLM 5.1 FP4: 1.2x apart. Output is $4.50 against $4.40. On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Kimi K2.6 Fp4 | GLM 5.1 FP4 |
| --- | --- | --- |
| Lab | Moonshot AI | Zai Org |
| Access | Open weights | Open weights |
| Context window | 256K tokens | 198K tokens |
| List price, input | $1.20 / M tokens | $1.40 / M tokens |
| List price, output | $4.50 / M tokens | $4.40 / M tokens |
| Cached input | $0.20 / M tokens | $0.26 / M tokens |
| License | Not listed | Not listed |
| Fine-tunable | Yes | 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 $3,015 a month on Kimi K2.6 Fp4 and $3,220 on GLM 5.1 FP4 at list: a gap of $205.

Kimi K2.6 Fp4 reads 256K tokens per request against 198K for GLM 5.1 FP4, 1.3x the window. That decides which one can take whole documents without splitting them.

## Choose Kimi K2.6 Fp4 for

- The lower list price ($1.20 in / $4.50 out per M tokens)
- The longer context window (256K vs 198K tokens)

## Choose GLM 5.1 FP4 for

- Training toward a model you own

## Common questions

### Which is cheaper, Kimi K2.6 Fp4 or GLM 5.1 FP4?

Kimi K2.6 Fp4, on this workload shape. At list prices it is $1.20/$4.50 per million tokens in and out against $1.40/$4.40 for GLM 5.1 FP4. Billed on Allocate: $1.28/$4.82 against $1.50/$4.71, list plus 7%.

### Which has the bigger context window?

Kimi K2.6 Fp4: 262,144 tokens (256K) against 202,752 (198K) for GLM 5.1 FP4.

### Can I fine-tune Kimi K2.6 Fp4 or GLM 5.1 FP4?

Both publish open weights (Kimi K2.6 Fp4: Not listed; GLM 5.1 FP4: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

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[HTML page](https://allocate.network/compare/moonshotai-kimi-k2-6-vs-z-ai-glm-5-1) · [Kimi K2.6 Fp4](https://allocate.network/models/moonshotai-kimi-k2-6.md) · [GLM 5.1 FP4](https://allocate.network/models/z-ai-glm-5-1.md) · [Machine-readable catalog](https://allocate.network/catalog.json)