Kimi K2.6vsMiniMax-M2.7
Across 4 shared benchmarks, Kimi K2.6 leads overall: Kimi K2.6 wins 3, MiniMax-M2.7 wins 1, with 0 ties and an average score difference of +5.28.
Kimi K2.6
Moonshot AI · 2026-04-20 · Reasoning model
MiniMax-M2.7
MiniMaxAI · 2026-03-18 · Reasoning model
Kimi K2.63 wins(75%)(25%)1 winMiniMax-M2.7
Benchmark scores
Grouped by capability, sorted by largest gap within each. 4 shared benchmarks.
General Knowledge
Kimi K2.6 2/2| Benchmark | Kimi K2.6 | MiniMax-M2.7 | Diff |
|---|---|---|---|
| HLE | 547 / 149Thinking (With Tools + Internet) | 2874 / 149Thinking (No Tools) | +26 |
| GPQA Diamond | 90.5014 / 175Thinking (No Tools) | 8735 / 175Thinking (No Tools) | +3.50 |
Claw-style Agent Evaluation
MiniMax-M2.7 1/1| Benchmark |
|---|
Specs
| Field | Kimi K2.6 | MiniMax-M2.7 |
|---|---|---|
| Publisher | Moonshot AI | MiniMaxAI |
| Release date | 2026-04-20 | 2026-03-18 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 10000.0 | 2290.0 |
| Context length | 256K | 200K |
| Max output | Not available | 204800 |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Kimi K2.6 | MiniMax-M2.7 |
|---|---|---|
| Text input | $0.95 / 1M tokens | $0.3 / 1M tokens |
| Text output | $4 / 1M tokens | $1.2 / 1M tokens |
| Cache read | $0.16 / 1M tokens | $0.06 / 1M tokens |
| Cache write | $0.95 / 1M tokens | $0.375 / 1M tokens |
Summary
- Kimi K2.6leads in:General Knowledge (2/2), Coding and Software Engineer (1/1)
- MiniMax-M2.7leads in:Claw-style Agent Evaluation (1/1)
On average across the 4 shared benchmarks, Kimi K2.6 scores 5.28 higher.
Largest single-benchmark gap: HLE — Kimi K2.6 54 vs MiniMax-M2.7 28 (+26).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.