Compare / head-to-head
GLM-4.6V-Flashvs
Phi-4 Multimodal Instruct
GLM-4.6V-Flash leads 1 of 1 shared benchmark. Both offer a 128K-token context window.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
1 – 0
GLM-4.6V-Flash leads
Cheaper per token
—
list price, input + output
Larger context
Tie
both 128K tokens
Providers
2 providers
Z.ai · Microsoft
GLM-4.6V-Flash
Z.ai · released 2025-12-08
textvisionvideo
Phi-4 Multimodal Instruct
Microsoft · released 2025-02-26
textvisionaudio
- Context
- 128K
- Max out
- 4K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 19 · 0 core
Quality
Benchmark matrix
1 shared · 14 only GLM-4.6V-Flash · 18 only Phi-4 Multimodal Instruct| Benchmark | GLM-4.6V-Flash | Phi-4 Multimodal Instruct | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| OCRBench | 84.7% ↗ | 84.4% ↗ | +0.3 pt | GLM-4.6V-Flash |
| Only GLM-4.6V-Flash reports · 14 | ||||
| AndroidWorld | 42.7% ↗ | not reported | — | — |
| ChartQAPro | 62.6% ↗ | not reported | — | — |
| CharXiv_Val-Reasoning | 59.6% ↗ | not reported | — | — |
| Design2Code | 69.8% ↗ | not reported | — | — |
| MathVista | 82.7% ↗ | not reported | — | — |
| MMBench V1.1 | 86.9% ↗ | not reported | — | — |
| MMBrowseComp | 7.1% ↗ | not reported | — | — |
| MMLongBench-Doc | 53% ↗ | not reported | — | — |
| MMMU (Val) | 71.1% ↗ | not reported | — | — |
| MMMU_Pro | 60.6% ↗ | not reported | — | — |
| MMStar | 74.7% ↗ | not reported | — | — |
| OSWorld | 21.1% ↗ | not reported | — | — |
| VideoMMMU | 70.1% ↗ | not reported | — | — |
| WebVoyager | 71.8% ↗ | not reported | — | — |
| Only Phi-4 Multimodal Instruct reports · 18 | ||||
| AI2D | not reported | 82.3% ↗ | — | — |
| BLINK | not reported | 61.3% ↗ | — | — |
| ChartQA | not reported | 81.4% ↗ | — | — |
| DocVQA | not reported | 93.2% ↗ | — | — |
| InfoVQA | not reported | 72.7% ↗ | — | — |
| InterGPS | not reported | 48.6% ↗ | — | — |
| MathVista testmini | not reported | 62.4% ↗ | — | — |
| MMBench (dev-en) | not reported | 86.7% ↗ | — | — |
| MMMU | not reported | 55.1% ↗ | — | — |
| MMMU-Pro (standard/vision) | not reported | 38.5% ↗ | — | — |
| POPE | not reported | 85.6% ↗ | — | — |
| ScienceQA Visual | not reported | 97.5% ↗ | — | — |
| Speech AI2D | not reported | 68.9% ↗ | — | — |
| Speech ChartQA | not reported | 69% ↗ | — | — |
| Speech DocVQA | not reported | 87.3% ↗ | — | — |
| Speech InfoVQA | not reported | 63.7% ↗ | — | — |
| TextVQA (val) | not reported | 75.6% ↗ | — | — |
| Video-MME (16 frames) | not reported | 55% ↗ | — | — |
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-4.6V-Flash minus Phi-4 Multimodal Instruct 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-4.6V-Flash | Phi-4 Multimodal Instruct | Edge |
|---|---|---|---|
| Context window | 128K tokens | 128K tokens | Tie |
| Max output | 32K tokens | 4K tokens | GLM-4.6V-Flash |
| 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 · audio | Tie |
| Released | 2025-12-08 | 2025-02-26 | — |
| Cited benchmark scores | 15 | 19 | — |
Reliability
Provider status
Live from /statusMore matchups
GLM-4.6V-Flash vs …
Models sharing the most benchmarksMore matchups
Phi-4 Multimodal Instruct vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
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