Pricing (QwenCloud, international)
Pricing for the production Qwen3.8-Flash as stated on Qwen's official blog (qwen.ai/blog, 2026-08-26). All prices in USD per 1M tokens.
| Model | Input | Output | Notes |
|---|---|---|---|
| Qwen3.8-Flash (production API) | $0.15 | $0.47 | Production SKU qwen3.8-flash. 1M context, official built-in tools |
| Qwen3.8-Flash-Next (open-weight) | — | — | Weights free on Hugging Face / ModelScope (self-host) |
| Qwen3.8-Max | $2.00 | $6.00 | Flagship (2.4T MoE). ~13× Flash price |
Primary source: qwen.ai/blog?id=qwen3.8-flash-next (verified 2026-09-01)
Model Specifications
Sources: Qwen blog "Qwen3.8-Flash-Next: A New Architecture, Towards Ultimate Cost-Efficiency" · HuggingFace: Qwen/Qwen3.8-Flash-Next (verified 2026-09-01)
Performance — Beats Qwen3.7-Plus with 6B active
Figures below are self-reported by Qwen's official blog (2026-08-26) and may diverge from independent evaluations.
- Coding: SWE-bench Pro 62.5 (Claude Opus 4.6 Max 53.4, Qwen3.7-Plus 55.8, DeepSeek-V4-Flash 56.0). DeepSWE 1.1 at 58.7 (Qwen3.7-Plus 16.5).
- Office & agents: CoWorkBench 73.9 (Claude Opus 4.6 68.2), JobBench 55.7 (Qwen3.7-Plus 27.6).
- Tool use: Toolathlon Verified (Pass@1) 73.5 (Qwen3.7-Plus 50.6, DeepSeek-V4-Flash 70.3).
- Multimodal: AndroidWorld 84.5 (Claude Opus 4.6 62.0), LVBench 76.6 (Claude Opus 4.6 63.0), RealWorldQA 88.5 (Claude Opus 4.6 73.9).
- General reasoning: GPQA Diamond 91.7 (Claude Opus 4.6 91.3), LiveCodeBench v6 91.9 (Claude Opus 4.6 88.8).
- vs Qwen3.7-Plus: ~1/9 the training cost while outperforming it on major coding, office and agentic benchmarks.
Qwen positions the model as "a new architecture towards ultimate cost-efficiency." Via QSA (Qwen Sparse Attention), the Attention Kernel is up to 7.6× (Prefill) and 4.9× (Decode) faster at 1M tokens, and under a 90% Prefix Cache hit rate it reports 8.6× the Prefill throughput of Qwen3.7-Plus. Qwen released the weights early "so that the community can examine the architecture before the full Qwen4 model family is built on top of them." The production model now powers QwenWork's "Standard" mode.
Source: Qwen official blog (verified 2026-09-01)
Competitor Price Comparison
Comparison against low-cost Chinese and lightweight models. USD per 1M tokens (standard text, no cache).
| Model | Provider | Input | Output | vs Flash | Notes |
|---|---|---|---|---|---|
| Qwen3.8-Flash | Alibaba | $0.15 | $0.47 | — | Baseline. Multimodal, Qwen4 preview |
| GLM-5.3-Flash | Zhipu (Z.ai) | $0.075 | $0.25 | GLM cheaper | Promo (thru 9/9; list $0.15/$0.50) |
| GPT-5.6 Luna | OpenAI | $0.20 | $1.20 | Qwen cheaper | Qwen 25% cheaper input, 61% cheaper output |
| Gemini 3.1 Flash-Lite | $0.25 | $1.50 | Qwen cheaper | Qwen 40% cheaper input, 69% cheaper output | |
| DeepSeek V4 Flash | DeepSeek | $0.22–$0.44 | $0.66–$1.32 | Close | Peak/off-peak. Off-peak input higher than Qwen |
| Qwen3.8-Max | Alibaba | $2.00 | $6.00 | Flash cheaper | Flagship. Flash ~1/13 the price |
* GLM-5.3-Flash is at 50%-off promo pricing (list $0.15/$0.50, thru 9/9). DeepSeek V4 Flash uses peak/off-peak pricing (cache-miss input $0.22 off-peak / $0.44 peak, output $0.66 off-peak / $1.32 peak). Qwen3.8-Flash is the international (USD) rate from the official blog.
Sources: official pricing pages / blogs from each provider (verified 2026-09-01). See full pricing comparison. GLM 5.3 Flash details →
Ideal Use Cases
Low cost × long context × multimodal workloads.
Coding & Agents
SWE-bench Pro 62.5, DeepSWE 58.7. Works directly with Claude Code, Codex and Qoder CLI.
Office & Document Workflows
CoWorkBench 73.9, JobBench 55.7. Finance, legal, medical and productivity tasks.
Tool Use & Function Calling
Toolathlon 73.5. OpenAI-compatible (Chat Completions / Responses) plus Anthropic-compatible protocols.
Multimodal Understanding
Image and video input. AndroidWorld 84.5, LVBench 76.6 — strong on long video and GUI tasks.
Local Self-Hosting
Open weights on HF / ModelScope. Only 6B active enables memory-efficient inference.
Early Qwen4 Evaluation
Preview the next-gen architecture (GDN + QSA) early — informing future Qwen4 adoption decisions.
Qwen 3.8 Family Selection Guide
| Model | Input | Output | When to Use |
|---|---|---|---|
| Qwen3.8-Max | $2.00 | $6.00 | Hardest tasks, flagship quality |
| Qwen3.8-Flash ⬅ | $0.15 | $0.47 | Cost-sensitive, high-throughput, multimodal, coding |
| Qwen3.8-27B | — | — | Local inference, small dense model (license: see official model card) |
💡 Strategy: Handle routine coding, agentic, document and multimodal work with Flash; escalate only the hardest tasks to Qwen3.8-Max.
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⚠️ Disclaimer
- Pricing verified against Qwen's official blog (qwen.ai/blog) on 2026-09-01. Subject to change without notice. Always check the QwenCloud pricing page before contracting.
- Pricing differs between the official blog ($0.15/$0.47) and official X post ($0.16/$0.47); mainland China is priced in CNY (1/3). Rates may vary by region and contract terms.
- Benchmark figures are self-reported by Qwen's official blog and may diverge from independent evaluations. Your mileage may vary.
- This site is informational only. We are not affiliated with or endorsed by any provider. Qwen and Alibaba are trademarks of Alibaba Group.