Compare / head-to-head
GLM-4.7-FlashXvsGPT-5.5
GLM-4.7-FlashX and GPT-5.5 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GLM-4.7-FlashX is 74.5x cheaper per token. GPT-5.5 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
GLM-4.7-FlashX
74.5x cheaper, input + output
Larger context
GPT-5.5
1M tokens
Provider uptime (30d)
— · 94.2446%
Z.ai · OpenAI
GLM-4.7-FlashX
Z.ai
text
Quality
Benchmark matrix
0 shared · 0 only GLM-4.7-FlashX · 21 only GPT-5.5| Benchmark | GLM-4.7-FlashX | GPT-5.5 | 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 GPT-5.5 does not. | ||||
| Only GPT-5.5 reports · 21 | ||||
| GPQA Diamond | not reported | 90.7% ↗epoch | — | — |
| AIME 2026 | not reported | 100% ↗matharena ⚠ | — | — |
| LMArena Elo | not reported | 1465.6 ↗ | — | — |
| ARC-AGI-1 (Verified) | not reported | 95% ↗ | — | — |
| ARC-AGI-2 (Verified) | not reported | 85% ↗ | — | — |
| BrowseComp | not reported | 84.4% ↗ | — | — |
| FrontierMath Tier 1-3 | not reported | 51.7% ↗ | — | — |
| FrontierMath Tier 4 | not reported | 35.4% ↗ | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 72.5% ↗epoch | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 85.3% ↗epoch | — | — |
| GDPval (wins or ties) | not reported | 84.9% ↗ | — | — |
| MCP Atlas | not reported | 75.3% ↗ | — | — |
| MMMU-Pro (no tools) | not reported | 81.2% ↗ | — | — |
| MMMU-Pro (with tools) | not reported | 83.2% ↗ | — | — |
| OSWorld-Verified | not reported | 78.7% ↗ | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 84.4% ↗epoch | — | — |
| SimpleQA Verified | not reported | 63% ↗epoch | — | — |
| SWE-Bench Pro | not reported | 58.6% ↗ | — | — |
| Tau2-bench Telecom | not reported | 98% ↗ | — | — |
| Terminal-Bench 2.0 | not reported | 82.7% ↗ | — | — |
| Toolathlon | not reported | 55.6% ↗ | — | — |
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 GPT-5.5 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 | GPT-5.5 | Edge |
|---|---|---|---|
| Context window | 200K tokens | 1M tokens | GPT-5.5 |
| Max output | 131K tokens | 128K tokens | GLM-4.7-FlashX |
| Input price / 1M | $0.07 ↗ | $5 ↗ | GLM-4.7-FlashX |
| Output price / 1M | $0.4 ↗ | $30 ↗ | GLM-4.7-FlashX |
| Cached input / 1M | $0.01 ↗ | $0.5 ↗ | GLM-4.7-FlashX |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $0.47 | $35 | GLM-4.7-FlashX |
| Modalities | text | text · vision | GPT-5.5 |
| Released | — | 2026-04-23 | — |
| Cited benchmark scores | 0 | 21 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GPT-5.5 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 GPT-5.5 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.