AI model comparison
Qwen3.8 27B vs Inkling Small
Side by side comparison of Qwen3.8 27B and Inkling Small on pricing, benchmark scores, context window, and more.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen.
- Input / 1M
- $0.04
- Output / 1M
- $1.25
- Context
- 1M
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total.
- Input / 1M
- $0.45
- Output / 1M
- $1.20
- Context
- 524K
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
Qwen3.8 27B
2.1x cheaper for a typical chat
Higher intelligence score
Qwen3.8 27B
20.1 vs 12.9 on Artificial Analysis
Larger context window
Qwen3.8 27B
1M vs 524K 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 Inkling Small API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.04 | $0.45 |
| Output tokensPer 1M tokens | $1.25 | $1.20 |
| Cached input (read)Per 1M tokens | $0.00 | $0.10 |
| 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$0.70Coding task
30K in, 4K out
Qwen3.8 27B$6.17$5.12 cachedLong document summary
150K in, 2K out
Qwen3.8 27B$8.35$3.09 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 | 1M tokens | 524K tokens |
| Max output | 66K tokens | 262K tokens |
| Input types | Image, Text, Video | Audio, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, Medium, Low, None | Max, High, Medium, Low, Minimal, None |
| Default reasoning effort | Extra high | High |
| Release date | August 14, 2026 | July 30, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.8 27B | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Not 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 GLM 5.3
- Qwen3.8 27B vs MiMo-V2.6-Pro
- Qwen3.8 27B vs DeepSeek V4.1 Flash 1017
- Qwen3.8 27B vs MiniMax M3.1 Flash
- Qwen3.8 27B vs Step 5 Preview
- Qwen3.8 27B vs GPT-6 Luna
- Qwen3.8 27B vs MiMo-V2.6-Flash
- Qwen3.8 27B vs Mistral Large 4
- Qwen3.8 27B vs DeepSeek V4 Pro 0813
- Qwen3.8 27B vs MiniMax M3
- Qwen3.8 27B vs Nemotron 3.5 Super VL
- Qwen3.8 27B vs Inkling
- Qwen3.8 27B vs Nemotron 3 Ultra
- Qwen3.8 27B vs Qwen3.8 Flash
- Qwen3.8 27B vs GLM 5.3 FlashX
- Qwen3.8 27B vs Qwen3.6 35B A3B
- Inkling Small vs MiniMax M3
- Inkling Small vs Nemotron 3.5 Super VL
- Inkling Small vs Inkling
- Inkling Small vs Nemotron 3 Ultra
- Inkling Small vs Gemini 3.5 Flash Lite
- Inkling Small vs Muse Glimmer 30B
- Inkling Small vs Command A+
- Inkling Small vs DeepSeek V4.1 Flash 1017
- Inkling Small vs DeepSeek V4.1 Flash
- Inkling Small vs GLM 5.3 Flash
Our take
Qwen3.8 27B is 2.1x cheaper for a typical chat. Qwen3.8 27B scores higher on the Artificial Analysis Intelligence Index (20.1 vs 12.9). Qwen3.8 27B has the larger context window (1M vs 524K 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 Inkling Small cheaper?
Qwen3.8 27B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.8 27B costs $0.04 per 1M input tokens and $1.25 per 1M output tokens, while Inkling Small costs $0.45 per 1M input tokens and $1.20 per 1M output tokens.
Which has a bigger context window, Qwen3.8 27B or Inkling Small?
Qwen3.8 27B supports up to 1M tokens of context, compared with 524K for Inkling Small.
Is Qwen3.8 27B smarter than Inkling Small?
On the Artificial Analysis Intelligence Index, Qwen3.8 27B scores 20.1 and Inkling Small scores 12.9, putting Qwen3.8 27B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.8 27B and Inkling Small at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 27B and Inkling Small answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 27B and Inkling Small at the same time. Compare the answers side by side and keep the best one.