Kimi K2.6vsMiniMax-M2.7
Across 5 shared benchmarks, Kimi K2.6 leads overall: Kimi K2.6 wins 4, MiniMax-M2.7 wins 1, with 0 ties and an average score difference of +1.
Kimi K2.6
Moonshot AI · 2026-04-20 · Reasoning model
MiniMax-M2.7
MiniMaxAI · 2026-03-18 · Reasoning model
Kimi K2.64 wins(80%)(20%)1 winMiniMax-M2.7
Benchmark scores
Grouped by capability, sorted by largest gap within each. 5 shared benchmarks.
Coding and Software Engineer
Kimi K2.6 2/2| Benchmark | Kimi K2.6 | MiniMax-M2.7 | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 58.6018 / 62Thinking (With Tools) | 56.2029 / 62Thinking (With Tools) | +2.40 |
| SWE-bench Multilingual | 76.708 / 29Thinking (With Tools) | 76.509 / 29Thinking (With Tools) | +0.20 |
AI Agent - Tool Usage
Kimi K2.6 1/1| Benchmark | Kimi K2.6 | MiniMax-M2.7 | Diff |
|---|---|---|---|
| Terminal Bench 2.0 | 66.7010 / 48Thinking (With Tools) | 5725 / 48Thinking (With Tools) | +9.70 |
Claw-style Agent Evaluation
MiniMax-M2.7 1/1| Benchmark | Kimi K2.6 | MiniMax-M2.7 | Diff |
|---|---|---|---|
| Claw Bench | 80.9019 / 29Thinking (With Tools) | 91.705 / 29Thinking (With Tools) | -10.80 |
General Evaluation
Kimi K2.6 1/1| Benchmark | Kimi K2.6 | MiniMax-M2.7 | Diff |
|---|---|---|---|
| GPQA Diamond | 90.5043 / 274Thinking (No Tools) | 8784 / 274Thinking (No Tools) | +3.50 |
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 | 1T | 229B |
| Context length | 256K | 200K |
| Max output | Not available | 200K |
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:Coding and Software Engineer (2/2), AI Agent - Tool Usage (1/1), General Evaluation (1/1)
- MiniMax-M2.7leads in:Claw-style Agent Evaluation (1/1)
On average across the 5 shared benchmarks, Kimi K2.6 scores 1 higher.
Largest single-benchmark gap: Claw Bench — Kimi K2.6 80.90 vs MiniMax-M2.7 91.70 (-10.80).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.