Compare / head-to-head
GLM-4.7-FlashXvsGPT-5 nano
GLM-4.7-FlashX and GPT-5 nano do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GPT-5 nano is marginally cheaper per token. GPT-5 nano has the larger context window (400K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
GPT-5 nano
1x cheaper, input + output
Larger context
GPT-5 nano
400K tokens
Provider uptime (30d)
— · 94.2446%
Z.ai · OpenAI
GLM-4.7-FlashX
Z.ai
text
GPT-5 nano
OpenAI · released 2025-08-07
textvision
Quality
Benchmark matrix
0 shared · 0 only GLM-4.7-FlashX · 7 only GPT-5 nano| Benchmark | GLM-4.7-FlashX | GPT-5 nano | 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 nano does not. | ||||
| Only GPT-5 nano reports · 7 | ||||
| SWE-bench Verified | not reported | 54.7% ↗ | — | — |
| GPQA Diamond | not reported | 69.4% ↗epoch | — | — |
| AIME 2025 | not reported | 85% ↗matharena ⚠ | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 2.4% ↗epoch | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 20% ↗epoch | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 81.1% ↗epoch | — | — |
| SimpleQA Verified | not reported | 11.7% ↗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 GPT-5 nano 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 nano | Edge |
|---|---|---|---|
| Context window | 200K tokens | 400K tokens | GPT-5 nano |
| Max output | 131K tokens | 128K tokens | GLM-4.7-FlashX |
| Input price / 1M | $0.07 ↗ | $0.05 ↗ | GPT-5 nano |
| Output price / 1M | $0.4 ↗ | $0.4 ↗ | Tie |
| Cached input / 1M | $0.01 ↗ | $0.005 ↗ | GPT-5 nano |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $0.47 | $0.45 | GPT-5 nano |
| Modalities | text | text · vision | GPT-5 nano |
| Released | — | 2025-08-07 | — |
| Cited benchmark scores | 0 | 7 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GPT-5 nano 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 nano on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.