Compare / head-to-head
GLM-4.5-FlashvsStep 3.7 Flash
GLM-4.5-Flash and Step 3.7 Flash do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Step 3.7 Flash has the larger context window (256K 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
Step 3.7 Flash
256K tokens
Provider uptime (30d)
— · —
Z.ai · StepFun
GLM-4.5-Flash
Z.ai
text
Step 3.7 Flash
StepFun · released 2026-05-29
textvision
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 19 · 6 core
Quality
Benchmark matrix
0 shared · 0 only GLM-4.5-Flash · 19 only Step 3.7 Flash| Benchmark | GLM-4.5-Flash | Step 3.7 Flash | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only GLM-4.5-Flash reports · 0 | ||||
| GLM-4.5-Flash reports nothing Step 3.7 Flash does not. | ||||
| Only Step 3.7 Flash reports · 19 | ||||
| SWE-bench Verified | not reported | 76.5% ↗ | — | — |
| AIME 2026 | not reported | 95% ↗matharena ⚠ | — | — |
| AA-LCR | not reported | 63.9% ↗ | — | — |
| BrowseComp | not reported | 75.8% ↗ | — | — |
| ClawEval v1.1 | not reported | 67.1% ↗ | — | — |
| DeepSearchQA Accuracy | not reported | 81.7% ↗ | — | — |
| DeepSearchQA F1 | not reported | 92.8% ↗ | — | — |
| GDPval-Stirrup | not reported | 1415.8 ↗ | — | — |
| GDPval-Stirrup Intelligence Index | not reported | 45.8 ↗ | — | — |
| HLE (with tools, text-only) | not reported | 49.7% ↗ | — | — |
| HLE (with tools) | not reported | 47.2% ↗ | — | — |
| ResearchRubrics | not reported | 71.7% ↗ | — | — |
| SimpleVQA (with tools) | not reported | 79.2% ↗ | — | — |
| SWE-bench Multilingual | not reported | 72.4% ↗ | — | — |
| SWE-bench Pro | not reported | 56.3% ↗ | — | — |
| Terminal-Bench 2.1 | not reported | 59.6% ↗ | — | — |
| Toolathlon | not reported | 49.5% ↗ | — | — |
| V* (with Python) | not reported | 95.3% ↗ | — | — |
| WorldVQA (with visual search) | not reported | 58.1% ↗ | — | — |
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-4.5-Flash minus Step 3.7 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-4.5-Flash | Step 3.7 Flash | Edge |
|---|---|---|---|
| Context window | 200K tokens | 256K tokens | Step 3.7 Flash |
| Max output | 98K 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 | text · vision | Step 3.7 Flash |
| Released | — | 2026-05-29 | — |
| Cited benchmark scores | 0 | 19 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Step 3.7 Flash vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-4.5-Flash and Step 3.7 Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.