AI model comparison
Qwen3.8 27B vs Step 3.7 Flash
Side by side comparison of Qwen3.8 27B and Step 3.7 Flash on pricing, benchmark scores, context window, and more.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen.
- Input / 1M
- $0.15
- Output / 1M
- $1.88
- Context
- 1.02M
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
1.3x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
Qwen3.8 27B
1.02M vs 262K tokens
Newer release
Qwen3.8 27B
Released August 14, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.8 27B20.1Coding index
Qwen3.8 27B68.1Agentic index
Qwen3.8 27B45.8Pricing
Qwen3.8 27B vs Step 3.7 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.20 |
| Output tokensPer 1M tokens | $1.88 | $1.15 |
| Cached input (read)Per 1M tokens | $0.04 | $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
Qwen3.8 27B$1.24Coding task
30K in, 4K out
Qwen3.8 27B$12$8.63 cachedLong document summary
150K in, 2K out
Qwen3.8 27B$26.25$9.38 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Context window | 1.02M tokens | 262K tokens |
| Max output | 236K tokens | 230K tokens |
| Input types | Image, Text, Video | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, Medium, Low, None | High, Medium, Low |
| Default reasoning effort | Extra high | Medium |
| Release date | August 14, 2026 | May 28, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | 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.
Qwen3.8 27BView full model details- Qwen3.8 27B vs DeepSeek V4.1 Flash 1017
- Qwen3.8 27B vs GPT-6 Luna
- Qwen3.8 27B vs Step 5 Preview
- Qwen3.8 27B vs Mistral Large 4
- Qwen3.8 27B vs Kimi K3
- Qwen3.8 27B vs Muse Spark Open
- Qwen3.8 27B vs DeepSeek V4 Pro 0813
- Qwen3.8 27B vs MiniMax M3
- Qwen3.8 27B vs Beam 1.0 501B A23B
- Qwen3.8 27B vs Nemotron 3.5 Super VL
- Qwen3.8 27B vs Inkling Small
- Qwen3.8 27B vs Inkling
- Qwen3.8 27B vs Nemotron 3 Ultra
- Qwen3.8 27B vs Gemini 3.5 Flash Lite
- Qwen3.8 27B vs Qwen3.6 35B A3B
- Qwen3.8 27B vs MiMo-V2.5
- Qwen3.8 27B vs MiMo-V2.5-Pro
- 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
- Step 3.7 Flash vs GLM 5.3 FlashX
Our take
Step 3.7 Flash is 1.3x cheaper for a typical chat. Qwen3.8 27B has the larger context window (1.02M 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 Qwen3.8 27B 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 Qwen3.8 27B costs $0.15 per 1M input tokens and $1.88 per 1M output tokens.
Which has a bigger context window, Qwen3.8 27B or Step 3.7 Flash?
Qwen3.8 27B supports up to 1.02M tokens of context, compared with 262K for Step 3.7 Flash.
Can I use Qwen3.8 27B and Step 3.7 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 27B and Step 3.7 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 27B and Step 3.7 Flash at the same time. Compare the answers side by side and keep the best one.