Compare / head-to-head
GLM-4.1V-9B-ThinkingvsGLM-4.6V-Flash
GLM-4.6V-Flash leads 8 of 8 shared benchmarks. GLM-4.6V-Flash has the larger context window (128K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 8
GLM-4.6V-Flash leads
Cheaper per token
—
list price, input + output
Larger context
GLM-4.6V-Flash
128K tokens
Providers
Z.ai
same provider
GLM-4.1V-9B-Thinking
Z.ai · released 2025-07-01
textvisionvideo
- Context
- 64K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 13 · 0 core
GLM-4.6V-Flash
Z.ai · released 2025-12-08
textvisionvideo
Quality
Benchmark matrix
8 shared · 5 only GLM-4.1V-9B-Thinking · 7 only GLM-4.6V-Flash| Benchmark | GLM-4.1V-9B-Thinking | GLM-4.6V-Flash | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 8 | ||||
| AndroidWorld | 41.7% ↗ | 42.7% ↗ | -1 pt | GLM-4.6V-Flash |
| ChartQAPro | 59.5% ↗ | 62.6% ↗ | -3.1 pt | GLM-4.6V-Flash |
| Design2Code | 64.7% ↗ | 69.8% ↗ | -5.1 pt | GLM-4.6V-Flash |
| MathVista | 80.7% ↗ | 82.7% ↗ | -2 pt | GLM-4.6V-Flash |
| MMStar | 72.9% ↗ | 74.7% ↗ | -1.8 pt | GLM-4.6V-Flash |
| OCRBench | 84.2% ↗ | 84.7% ↗ | -0.5 pt | GLM-4.6V-Flash |
| OSWorld | 14.9% ↗ | 21.1% ↗ | -6.2 pt | GLM-4.6V-Flash |
| VideoMMMU | 61% ↗ | 70.1% ↗ | -9.1 pt | GLM-4.6V-Flash |
| Only GLM-4.1V-9B-Thinking reports · 5 | ||||
| MathVision | 54.4% ↗ | not reported | — | — |
| MMBench v1.1 | 85.8% ↗ | not reported | — | — |
| MMMU (val) | 68% ↗ | not reported | — | — |
| MMMU Pro | 57.1% ↗ | not reported | — | — |
| VideoMME (w/o sub) | 68.2% ↗ | not reported | — | — |
| Only GLM-4.6V-Flash reports · 7 | ||||
| CharXiv_Val-Reasoning | not reported | 59.6% ↗ | — | — |
| MMBench V1.1 | not reported | 86.9% ↗ | — | — |
| MMBrowseComp | not reported | 7.1% ↗ | — | — |
| MMLongBench-Doc | not reported | 53% ↗ | — | — |
| MMMU (Val) | not reported | 71.1% ↗ | — | — |
| MMMU_Pro | not reported | 60.6% ↗ | — | — |
| WebVoyager | not reported | 71.8% ↗ | — | — |
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-4.1V-9B-Thinking minus GLM-4.6V-Flash 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-4.1V-9B-Thinking | GLM-4.6V-Flash | Edge |
|---|---|---|---|
| Context window | 64K tokens | 128K tokens | GLM-4.6V-Flash |
| Max output | — | 32K tokens | — |
| Input price / 1M | — | $0 ↗ | — |
| Output price / 1M | — | $0 ↗ | — |
| Cached input / 1M | — | $0 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $0 | — |
| Modalities | text · vision · video | text · vision · video | Tie |
| Released | 2025-07-01 | 2025-12-08 | — |
| Cited benchmark scores | 13 | 15 | — |
Reliability
Z.ai status
Live from /statusMore matchups
GLM-4.1V-9B-Thinking vs …
Models sharing the most benchmarksMore matchups
GLM-4.6V-Flash vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
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