Kimi K2.5vsKimi K2 Thinking
Across 9 shared benchmarks, Kimi K2.5 leads overall: Kimi K2.5 wins 5, Kimi K2 Thinking wins 4, with 0 ties and an average score difference of +0.39.
Kimi K2.5
Moonshot AI · 2026-01-27 · Multimodal model
Kimi K2 Thinking
Moonshot AI · 2025-11-06 · Reasoning model
Kimi K2.55 wins(56%)(44%)4 winsKimi K2 Thinking
Benchmark scores
Grouped by capability, sorted by largest gap within each. 9 shared benchmarks.
General Knowledge
Kimi K2 Thinking 2/3| Benchmark | Kimi K2.5 | Kimi K2 Thinking | Diff |
|---|---|---|---|
| MMLU Pro | 78.5064 / 124Thinking (No Tools) | 84.6030 / 124thinking | -6.10 |
| GPQA Diamond | 87.6031 / 175Thinking (No Tools) | 84.5049 / 175thinking | +3.10 |
| HLE | 50.2017 / 149Thinking (With Tools) | 5113 / 149 |
Specs
| Field | Kimi K2.5 | Kimi K2 Thinking |
|---|---|---|
| Publisher | Moonshot AI | Moonshot AI |
| Release date | 2026-01-27 | 2025-11-06 |
| Model type | Multimodal model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 10000.0 | 10400.0 |
| Context length | 256K | 256K |
| Max output | 16384 | Not available |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Kimi K2.5 | Kimi K2 Thinking |
|---|---|---|
| Text input | 0.6 美元/100 万tokens | 0.6 美元/100 万tokens |
| Text output | 3 美元/100 万tokens | 2.5 美元/100 万tokens |
| Cache read | 0.1 美元/100 万tokens | 0.15 美元/100 万tokens |
Summary
- Kimi K2.5leads in:Coding and Software Engineer (2/2), AI Agent - Information Search (1/1)
- Kimi K2 Thinkingleads in:General Knowledge (2/3), Claw-style Agent Evaluation (1/1)
- Tied in:Math and Reasoning
On average across the 9 shared benchmarks, Kimi K2.5 scores 0.39 higher.
Largest single-benchmark gap: MMLU Pro — Kimi K2.5 78.50 vs Kimi K2 Thinking 84.60 (-6.10).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.