Compare / head-to-head
GLM-4.7vsMAI-Thinking-1
GLM-4.7 and MAI-Thinking-1 split their 2 shared benchmarks evenly. MAI-Thinking-1 has the larger context window (256K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
1 – 1
even split
Cheaper per token
—
list price, input + output
Larger context
MAI-Thinking-1
256K tokens
Provider uptime (30d)
— · —
Z.ai · Microsoft
GLM-4.7
Z.ai · released 2025-12-22
text
MAI-Thinking-1
Microsoft · released 2026-08-12
text
- Context
- 256K
- Max out
- 64K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 15 · 7 core
Quality
Benchmark matrix
2 shared · 2 only GLM-4.7 · 13 only MAI-Thinking-1| Benchmark | GLM-4.7 | MAI-Thinking-1 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 2 | ||||
| GPQA Diamond | 83.3% ↗epoch | 84.2% ↗ | -0.9 pt | MAI-Thinking-1 |
| SimpleQA Verified | 32.2% ↗epoch | 31% ↗ | +1.2 pt | GLM-4.7 |
| Only GLM-4.7 reports · 2 | ||||
| LMArena Elo | 1435.9 ↗ | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 83.3% ↗epoch | not reported | — | — |
| Only MAI-Thinking-1 reports · 13 | ||||
| SWE-bench Verified | not reported | 73.5% ↗ | — | — |
| MMLU-Pro | not reported | 85% ↗ | — | — |
| AIME 2025 | not reported | 97% ↗ | — | — |
| AIME 2026 | not reported | 94.5% ↗ | — | — |
| AdvancedIF | not reported | 85% ↗ | — | — |
| BFCL v3 | not reported | 72% ↗ | — | — |
| GraphWalks (<=128K) | not reported | 90% ↗ | — | — |
| HMMT February 2026 | not reported | 84.9% ↗ | — | — |
| IFBench | not reported | 69% ↗ | — | — |
| LiveCodeBench v6 | not reported | 87.7% ↗ | — | — |
| MultiChallenge | not reported | 53% ↗ | — | — |
| SWE-bench Pro | not reported | 52.8% ↗ | — | — |
| Terminal-Bench 2.0 | not reported | 46% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GLM-4.7 minus MAI-Thinking-1 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GLM-4.7 | MAI-Thinking-1 | Edge |
|---|---|---|---|
| Context window | 200K tokens | 256K tokens | MAI-Thinking-1 |
| Max output | 131K tokens | 64K tokens | GLM-4.7 |
| Input price / 1M | $0.6 ↗ | — | — |
| Output price / 1M | $2.2 ↗ | — | — |
| Cached input / 1M | $0.11 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $2.8 | — | — |
| Modalities | text | text | Tie |
| Released | 2025-12-22 | 2026-08-12 | — |
| Cited benchmark scores | 4 | 15 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GLM-4.7 vs …
Models sharing the most benchmarksMore matchups
MAI-Thinking-1 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-4.7 and MAI-Thinking-1 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.