Compare / head-to-head
GLM-4.7-FlashXvsPhi-4
GLM-4.7-FlashX and Phi-4 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GLM-4.7-FlashX has the larger context window (200K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
—
list price, input + output
Larger context
GLM-4.7-FlashX
200K tokens
Provider uptime (30d)
— · —
Z.ai · Microsoft
GLM-4.7-FlashX
Z.ai
text
Phi-4
Microsoft · released 2024-12-12
text
- Context
- 16K
- Max out
- 16K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 11 · 7 core
Quality
Benchmark matrix
0 shared · 0 only GLM-4.7-FlashX · 10 only Phi-4| Benchmark | GLM-4.7-FlashX | Phi-4 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only GLM-4.7-FlashX reports · 0 | ||||
| GLM-4.7-FlashX reports nothing Phi-4 does not. | ||||
| Only Phi-4 reports · 10 | ||||
| GPQA Diamond | not reported | 56.1% ↗ | — | — |
| MMLU | not reported | 84.8% ↗ | — | — |
| MMLU-Pro | not reported | 70.4% ↗ | — | — |
| HumanEval | not reported | 82.6% ↗ | — | — |
| LMArena Elo | not reported | 1216.6 ↗ | — | — |
| ArenaHard | not reported | 75.4% ↗ | — | — |
| HumanEval+ | not reported | 82.8% ↗ | — | — |
| IFEval | not reported | 63% ↗ | — | — |
| MATH | not reported | 80.4% ↗ | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 13.8% ↗epoch | — | — |
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-FlashX minus Phi-4 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-FlashX | Phi-4 | Edge |
|---|---|---|---|
| Context window | 200K tokens | 16K tokens | GLM-4.7-FlashX |
| Max output | 131K tokens | 16K tokens | GLM-4.7-FlashX |
| Input price / 1M | $0.07 ↗ | — | — |
| Output price / 1M | $0.4 ↗ | — | — |
| Cached input / 1M | $0.01 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $0.47 | — | — |
| Modalities | text | text | Tie |
| Released | — | 2024-12-12 | — |
| Cited benchmark scores | 0 | 11 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Phi-4 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-4.7-FlashX and Phi-4 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.