One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $0.15 = $0.15
- Output0.1M x $0.47 = $0.047
$0.197per session
Alibaba Cloud (Qwen) - Closed weights
Qwen3.8-Flash pricing and specs
Qwen3.8-Flash is a closed-weights model from Alibaba Cloud (Qwen) that costs $0.15 per 1M input tokens and $0.47 per 1M output tokens on the first-party API, with a 1M-token context window.
Last verified from alibabacloud.com. All sources
- Input / 1M
- $0.15
- Output / 1M
- $0.47
- Context
- 1M tokens
- Weights
- Closed
Pricing per 1M tokens
| Item | Price / 1M tokens |
|---|---|
| Input | $0.15 |
| Output | $0.47 |
| Cache read | $0.016 |
| Cache write (5 minutes) | $0.20 |
Note: International (Singapore) list prices. One price tier up to 1M input tokens; thinking and non-thinking cost the same. cache read/cache write are explicit-cache read and creation; implicit cache hits are also $0.016. No batch price for the Singapore region. The console states context 1M and max output 128K; recorded as 1,000,000 and 131,072 (QwenCloud states 131K).
Specs
- Context window
- 1,000,000 tokens
- Max output
- 131,072 tokens
- Release date
- Provider
- Alibaba Cloud (Qwen)
- API model id
qwen3.8-flash- Vercel AI Gateway id
alibaba/qwen3.8-flash- Weights
- Closed weights
What Qwen3.8-Flash costs in practice
Worked from the standard list rates above, with the math shown so you can swap in your own token counts.
A chat app
10,000 requests a day at 2K input and 500 output tokens each.
- Input20M x $0.15 = $3.00
- Output5M x $0.47 = $2.35
$5.35per day
$160.50 per 30-day month
The same session at a 90% cache hit
90% of the input is read from the prompt cache. The one-time cache write premium is not included.
- Cached input0.9M x $0.016 = $0.0144
- Uncached input0.1M x $0.15 = $0.015
- Output0.1M x $0.47 = $0.047
$0.0764per session
Compare with
| Model | Input / 1M | Output / 1M |
|---|---|---|
| Qwen3.8-Flash (this page) | $0.15 | $0.47 |
| Qwen3.8-Omni-FlashAlibaba Cloud (Qwen) | $0.15 | $0.47 |
| ERNIE 4.5 Turbo (128K)Baidu | $0.11 | $0.45 |
| ERNIE 4.5 Turbo (32K)Baidu | $0.11 | $0.45 |
| Qwen-MT-FlashAlibaba Cloud (Qwen) | $0.16 | $0.49 |
| Qwen-FlashAlibaba Cloud (Qwen) | $0.05 | $0.40 |
| Qwen3.5-FlashAlibaba Cloud (Qwen) | $0.10 | $0.40 |
| Qwen-MT-LiteAlibaba Cloud (Qwen) | $0.12 | $0.36 |
| Qwen3.7-FlashAlibaba Cloud (Qwen) | $0.03 | $0.13 |
Compare
Side-by-side pages with both models' prices, specs, cost examples and like-for-like benchmark rows.
- Qwen3.8-Flash vs Claude Haiku 5.5Similar price, same tier
- Qwen3.8-Flash vs GPT-6 LunaSimilar price, same tier
- Qwen3.8-Flash vs DeepSeek V4.1 FlashSimilar price, same tier
- Qwen3.8-Flash vs GLM-5.3-FlashSimilar price, same tier
- Qwen3.8-Flash vs Gemini 3.5 Flash-LiteSimilar price, same tier
- Qwen3.8-Flash vs Qwen3.7-FlashSame provider, successor
- Qwen3.8-Flash vs MiniMax-M3Similar price, same tier
- Qwen3.8-Flash vs Mistral Small 4Similar price, same tier
Related reading
- Run Qwen3.8-Flash-Next on a Gaming PC With StrataRun Qwen3.8-Flash-Next locally with Strata on a 12 GB GPU: hardware needs, speeds by quant, the license catch, and when the hosted API is the better call.
- Terminal-Universe Turns Agent Traces Into Training EnvironmentsTerminal-Universe, Qwen's paper on rebuilding terminal-agent trajectories into reusable environments, and why agent teams should keep replayable workspaces.
- Qwen3.8-27B vs Opus 4.6 Max: Local Agentic Coding BenchmarksQwen3.8-27B is a 27B dense Apache-2.0 model that beats Opus 4.6 Max on SWE-bench Pro (61.7 vs 53.4). Benchmarks, hardware, cost and when to run it.
- Qwen 3.8 Max Ships: 2.4T MoE, 1M Context, $2/$6 per MTok, Open Weights Next WeekQwen 3.8 Max is a 2.4T-parameter MoE with 95B active, a 1M context window and $2/$6 per million tokens on QwenCloud, with open weights promised next week.
- Qwen-UI-Agent Points at the Next GUI Agent RuntimeQwen-UI-Agent, Alibaba's GUI agent report, reads best as a product spec: mobile, desktop, browser, CLI and DeepSearch combined in one stateful agent runtime.
- $500 RL Fine-Tune of a 9B Open Model Beat GPT-5.6 Sol and Claude Opus 4.8 on Catalog ReviewA $500 GRPO fine-tune of Qwen 3.5 9B beat GPT-5.6 Sol and Opus 4.8 on catalog review, hitting 97% accuracy at a fraction of the cost per listing.
FAQ
How much does Qwen3.8-Flash cost per million tokens?
Qwen3.8-Flash costs $0.15 per 1M input tokens and $0.47 per 1M output tokens on Alibaba Cloud (Qwen)'s first-party API, per alibabacloud.com on October 17, 2026. Per 1M tokens, cache reads cost $0.016.
What is Qwen3.8-Flash's context window?
Qwen3.8-Flash has a 1,000,000-token context window and returns up to 131,072 output tokens per response.
Are Qwen3.8-Flash's weights open?
No. Qwen3.8-Flash is a closed-weights model. You call it through Alibaba Cloud (Qwen)'s API as qwen3.8-flash or through Vercel AI Gateway as alibaba/qwen3.8-flash.
When was Qwen3.8-Flash released?
Alibaba Cloud (Qwen) released Qwen3.8-Flash on August 26, 2026.
Sources
Last verified from alibabacloud.com.
- https://www.alibabacloud.com/help/en/model-studio/model-pricing
- https://modelstudio.console.alibabacloud.com/ap-southeast-1/model/market/detail/qwen3.8-flash
- https://www.qwencloud.com/models/qwen3.8-flash
- https://www.alibabacloud.com/help/en/model-studio/text-generation-model
- https://www.alibabacloud.com/help/en/model-studio/context-cache
- https://www.alibabacloud.com/help/en/model-studio/newly-released-models
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