MiniMax M3vsGLM 5.1
Across 3 shared benchmarks, MiniMax M3 leads overall: MiniMax M3 wins 3, GLM 5.1 wins 0, with 0 ties and an average score difference of +4.03.
MiniMax M3
MiniMaxAI · 2026-06-01 · Multimodal model
GLM 5.1
智谱AI · 2026-03-27 · Reasoning model
MiniMax M33 wins(100%)(0%)0 winsGLM 5.1
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
AI Agent - Information Search
MiniMax M3 1/1| Benchmark | MiniMax M3 | GLM 5.1 | Diff |
|---|---|---|---|
| BrowseComp | 83.508 / 45Thinking (With Tools + Internet) | 79.3013 / 45Thinking (With Tools + Internet) | +4.20 |
AI Agent - Tool Usage
MiniMax M3 1/1| Benchmark | MiniMax M3 | GLM 5.1 | Diff |
|---|---|---|---|
| TerminalBench 2.1 | 6610 / 13Thinking (With Tools) | 58.7011 / 13Thinking High (With Tools) | +7.30 |
Coding and Software Engineer
MiniMax M3 1/1| Benchmark | MiniMax M3 | GLM 5.1 | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 596 / 43Thinking (With Tools) | 58.409 / 43Thinking (With Tools) | +0.60 |
Specs
| Field | MiniMax M3 | GLM 5.1 |
|---|---|---|
| Publisher | MiniMaxAI | 智谱AI |
| Release date | 2026-06-01 | 2026-03-27 |
| Model type | Multimodal model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 428B | 75.4B |
| Context length | 1M | 200K |
| Max output | 512K | 125K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | MiniMax M3 | GLM 5.1 |
|---|---|---|
| Text input | ¥2.1 / 1M tokens | $1.4 / 1M tokens |
| Text output | ¥8.4 / 1M tokens | $4.4 / 1M tokens |
| Cache read | ¥0.42 / 1M tokens | $4.4 / 1M tokens |
| Cache write | Not public | $0.26 / 1M tokens |
Summary
- MiniMax M3leads in:AI Agent - Information Search (1/1), AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1)
On average across the 3 shared benchmarks, MiniMax M3 scores 4.03 higher.
Largest single-benchmark gap: TerminalBench 2.1 — MiniMax M3 66 vs GLM 5.1 58.70 (+7.30).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.