Qwen3.8-Max pricing and specs

Pricing per 1M tokens

Note: Prices are the International (Singapore) deployment list prices; Global, Chinese mainland, US, EU and other deployment scopes are priced differently on the same page. Thinking and non-thinking modes cost the same. cache read/cache write are explicit-cache read and creation (an explicit cache lasts 5 minutes and resets on a hit); implicit cache hits are $0.25 per 1M. The context-cache doc says explicit-cache hits on qwen3.8-max are not the usual 10% of input. The batch doc does not list batch for the Singapore region, so batch prices are blank. qwen3.8-max-prime (fast mode, $3.301/$9.902) is priced only for the Chinese mainland deployment, so fast mode pricing is not stated. Snapshot qwen3.8-max-0902 costs the same. The console states context as 1M and max output as 128K; recorded as 1,000,000 (the pricing page defines 1M = 1,000,000 tokens) and 131,072 (the QwenCloud model page states 131K).

Specs

Context window

1,000,000 tokens

Max output

131,072 tokens

Release date

August 2, 2026

Provider

Alibaba Cloud (Qwen)

API model id

qwen3.8-max

Vercel AI Gateway id

alibaba/qwen3.8-max

Weights

Closed weights

What Qwen3.8-Max costs in practice

Worked from the standard list rates above, with the math shown so you can swap in your own token counts.

Compare with

Compare

Side-by-side pages with both models' prices, specs, cost examples and like-for-like benchmark rows.

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• Qwen3.8-Max vs Grok 4.7Similar price, same tier
• Qwen3.8-Max vs Qwen3.7-MaxSame provider, successor
• Qwen3.8-Max vs Kimi K3Similar 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.

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