MiniMax-M2.7vsKimi K2.5
Across 8 shared benchmarks, MiniMax-M2.7 leads overall: MiniMax-M2.7 wins 5, Kimi K2.5 wins 3, with 0 ties and an average score difference of +0.43.
MiniMax-M2.7
MiniMaxAI · 2026-03-18 · Reasoning model
Kimi K2.5
Moonshot AI · 2026-01-27 · Multimodal model
MiniMax-M2.75 wins(63%)(38%)3 winsKimi K2.5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 8 shared benchmarks.
General Knowledge
Kimi K2.5 3/3| Benchmark | MiniMax-M2.7 | Kimi K2.5 | Diff |
|---|---|---|---|
| HLE | 2896 / 172Thinking (No Tools) | 50.2027 / 172Thinking (With Tools) | -22.20 |
| LiveBench | 63.4956 / 115Deep Thinking (No Tools) | 69.0742 / 115Thinking (No Tools) | -5.58 |
| GPQA Diamond | 8742 / 187Thinking (No Tools) | 87.6037 / 187Thinking (No Tools) | -0.60 |
Claw-style Agent Evaluation
MiniMax-M2.7 2/2| Benchmark | MiniMax-M2.7 | Kimi K2.5 | Diff |
|---|---|---|---|
| Claw Bench | 91.705 / 29Thinking (With Tools) | 81.7018 / 29Thinking (With Tools) | +10 |
| Pinch Bench | 87.109 / 37Thinking (With Tools) | 84.8017 / 37Thinking (With Tools) | +2.30 |
Coding and Software Engineer
MiniMax-M2.7 1/1| Benchmark | MiniMax-M2.7 | Kimi K2.5 | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 56.2024 / 54Thinking (With Tools) | 50.7041 / 54Thinking (With Tools) | +5.50 |
Long Context
MiniMax-M2.7 1/1| Benchmark | MiniMax-M2.7 | Kimi K2.5 | Diff |
|---|---|---|---|
| AA-LCR | 696 / 15Thinking (With Tools) | 6512 / 15Thinking (No Tools) | +4 |
Productivity Knowledge
MiniMax-M2.7 1/1| Benchmark | MiniMax-M2.7 | Kimi K2.5 | Diff |
|---|---|---|---|
| GDPval-AA | 5013 / 21Thinking (No Tools) | 4015 / 21Thinking (No Tools) | +10 |
Specs
| Field | MiniMax-M2.7 | Kimi K2.5 |
|---|---|---|
| Publisher | MiniMaxAI | Moonshot AI |
| Release date | 2026-03-18 | 2026-01-27 |
| Model type | Reasoning model | Multimodal model |
| Architecture | MoE | MoE |
| Parameters | 229B | 1T |
| Context length | 200K | 256K |
| Max output | 200K | 16K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | MiniMax-M2.7 | Kimi K2.5 |
|---|---|---|
| Text input | $0.3 / 1M tokens | $0.6 / 1M tokens |
| Text output | $1.2 / 1M tokens | $3 / 1M tokens |
| Cache read | $0.06 / 1M tokens | $0.1 / 1M tokens |
| Cache write | $0.375 / 1M tokens | Not public |
Summary
- MiniMax-M2.7leads in:Claw-style Agent Evaluation (2/2), Coding and Software Engineer (1/1), Long Context (1/1), Productivity Knowledge (1/1)
- Kimi K2.5leads in:General Knowledge (3/3)
On average across the 8 shared benchmarks, MiniMax-M2.7 scores 0.43 higher.
Largest single-benchmark gap: HLE — MiniMax-M2.7 28 vs Kimi K2.5 50.20 (-22.20).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.