AI model comparison
GLM 5.3 FlashX vs Step 3.7 Flash
Side by side comparison of GLM 5.3 FlashX and Step 3.7 Flash on pricing, benchmark scores, context window, and more.
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s.
- Input / 1M
- $0.37
- Output / 1M
- $1.25
- Context
- 1.05M
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model.
- Input / 1M
- $0.20
- Output / 1M
- $1.15
- Context
- 262K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Step 3.7 Flash
1.4x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GLM 5.3 FlashX
1.05M vs 262K tokens
Newer release
GLM 5.3 FlashX
Released September 18, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GLM 5.3 FlashX vs Step 3.7 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.37 | $0.20 |
| Output tokensPer 1M tokens | $1.25 | $1.15 |
| Cached input (read)Per 1M tokens | $0.08 | $0.04 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 262K tokens |
| Max output | 131K tokens | 230K tokens |
| Input types | Image, Text, Video | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | High, Medium, Low |
| Default reasoning effort | Max | Medium |
| Release date | September 18, 2026 | May 28, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Step 3.7 Flash vs DeepSeek V4.1 Flash 1017
- Step 3.7 Flash vs DeepSeek V4.1 Flash
- Step 3.7 Flash vs GPT-6 Luna
- Step 3.7 Flash vs Step 5 Preview
- Step 3.7 Flash vs GPT-5.6 Luna
- Step 3.7 Flash vs Claude Haiku 5.5
- Step 3.7 Flash vs MiMo-V2.6-Pro
- Step 3.7 Flash vs Hy4
- Step 3.7 Flash vs Gemini 3.1 Flash Lite
- Step 3.7 Flash vs MiniMax M3
Our take
Step 3.7 Flash is 1.4x cheaper for a typical chat. GLM 5.3 FlashX has the larger context window (1.05M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GLM 5.3 FlashX or Step 3.7 Flash cheaper?
Step 3.7 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). Step 3.7 Flash costs $0.20 per 1M input tokens and $1.15 per 1M output tokens, while GLM 5.3 FlashX costs $0.37 per 1M input tokens and $1.25 per 1M output tokens.
Which has a bigger context window, GLM 5.3 FlashX or Step 3.7 Flash?
GLM 5.3 FlashX supports up to 1.05M tokens of context, compared with 262K for Step 3.7 Flash.
Can I use GLM 5.3 FlashX and Step 3.7 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 FlashX and Step 3.7 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.3 FlashX and Step 3.7 Flash at the same time. Compare the answers side by side and keep the best one.