# Kimi K2.5 vs Claude Opus 4.8

On provider list prices, Kimi K2.5 costs $0.50 per million input tokens against $5 for Claude Opus 4.8: 10.0x apart. Output is $2.80 against $25 (8.9x).

## Specifications

| | Kimi K2.5 | Claude Opus 4.8 |
| --- | --- | --- |
| Lab | Togethercomputer | Anthropic |
| Access | Open weights | API only |
| Context window | 256K tokens | 200K tokens |
| List price, input | $0.50 / M tokens | $5 / M tokens |
| List price, output | $2.80 / M tokens | $25 / 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 2026-07-21.

## 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 $14,750 on Claude Opus 4.8 at list: a gap of $13,170, or 9.3x.

Kimi K2.5 reads 256K tokens per request against 200K for Claude Opus 4.8, 1.3x 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 Claude Opus 4.8 for

- Hardest reasoning problems
- High-stakes analysis
- Escalation tier for agents

## Common questions

### Which is cheaper, Kimi K2.5 or Claude Opus 4.8?

Kimi K2.5, on this workload shape. At list prices it is $0.50/$2.80 per million tokens in and out against $5/$25 for Claude Opus 4.8. Billed on Allocate: $0.54/$3.00 against $5.35/$26.75.

### Which has the bigger context window?

Kimi K2.5: 262,144 tokens (256K) against 200,000 (200K) for Claude Opus 4.8.

### Can I fine-tune Kimi K2.5 or Claude Opus 4.8?

Kimi K2.5 publishes open weights (Not listed) and can be fine-tuned on your own data. Claude Opus 4.8 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-opus-4-8) · [Kimi K2.5](https://allocate.network/models/kimi-k2-5.md) · [Claude Opus 4.8](https://allocate.network/models/opus-4-8.md) · [Machine-readable catalog](https://allocate.network/catalog.json)