Qwen3.8 Max
Last verified August 4, 2026 · Alibaba pricing ↗$2.00/1M input · $6.00/1M output · 1.0M context · Alibaba
Qwen3.8 Max costs $2.00 per 1M input tokens and $6.00 per 1M output tokens from Alibaba, with a 1.0M-token context window. A typical chat reply (1,500 tokens in, 400 out) costs $0.0054, or $54.00 per 10,000 requests. On that workload it is cheaper than 59 of the 168 other buyable models tracked here.
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What Qwen3.8 Max Costs Per Request
At $2.00 per 1M input and $6.00 per 1M output tokens, before caching or batch discounts.
| Workload | Input / output tokens | Per request | Per 10,000 requests |
|---|---|---|---|
| Chat reply | 1,500 / 400 | $0.0054 | $54.00 |
| RAG answer over retrieved docs | 8,000 / 600 | $0.020 | $196.00 |
| Coding-agent step | 30,000 / 2,000 | $0.072 | $720.00 |
Qwen3.8 Max vs Similarly Priced Models
Nearest buyable models by price, with the RAG answer above (8,000 in / 600 out) priced on each.
| Model | Input /1M | Output /1M | Context | RAG answer |
|---|---|---|---|---|
| Qwen3.8 Max Alibaba | $2.00 | $6.00 | 1.0M | $0.020 |
| Qwen3.6-Max-Preview Alibaba | $1.30 | $7.80 | 262K | $0.015 |
| Grok 4.7 xAI | $2.00 | $6.00 | 500K | $0.020 |
| Fugu Max Sakana AI | $2.00 | $6.00 | 1.0M | $0.020 |
Alternatives to Qwen3.8 Max
Pricing Details
AlibabaClosed-weights multimodal flagship (text/image/video input, text output), 2.4T total / 95B active MoE. GA 2026-08-03 after a 2026-07-19 preview at WAIC. Price stored is the gateway consensus: OpenRouter, Vercel AI Gateway, NanoGPT, Kilo and Merge all quote $2.00/$6.00 with cache read $0.25 and cache write $2.50. Alibaba Model Studio publishes NO per-token rate for this model as of 2026-08-04 (its table still tops out at Qwen3.7 Max), so there is no first-party card to check against. Resellers apply flat margins to the same baseline: AIHubMix 0.845x on both legs, Deep Infra 0.825x but capped to 256K context, CrossModel 0.94x; Qubrid is the only independent card at $2.87/$7.12 list, 20% off at launch. Flat pricing across the full 1M window, no context tiering. Cache read of $0.25 is 12.5% of input and matches neither Alibaba's documented 10% explicit nor 20% implicit rate; it is exactly 10% of $2.50, which may mean $2 is itself a promo. Reasoning budget 262K, reasoning_effort low/medium/xhigh with xhigh default, thinking tokens billed as output. 991K usable input, ~983K with thinking on. AA Intelligence Index 53; generated 150M tokens running the index vs a 63M median (2.38x) at a cost of $2,159.51, output 46.5 tok/s, TTFT 2.48s. Against Kimi K3 ($2,437.41, 130M tokens, ~36 tok/s, index 57) the 60% output-price advantage yields only an 11.4% smaller bill. Beware secondary sources quoting $2,690.80 and 62 tok/s for Kimi K3; AA's own page says otherwise. Vendor-run benchmarks: Terminal-Bench 2.1 86.6, SWE-Bench Pro 67.7, PaperBench 93.0, IFBench 82.8, GPQA Diamond 92.6, HLE 43.6, FrontierSWE 73.5, OSWorld-Verified 86.1. Alibaba leads only two of six rows on its own table. Rate limits 2M TPM / 15K RPM. Not on Bedrock or Vertex. No published knowledge cutoff or model card; weights promised on HF/ModelScope but not shipped as of 2026-08-04. Two different overnight discounts get conflated: Alibaba documents a real per-token 80% night discount (22:00-08:00 UTC+8) for Qwen3.7 Max on HK/Frankfurt/US-Virginia, unconfirmed for 3.8; separately Qoder's GA credits promo is 50% off (0.5x to 0.25x multiplier), credits only, and its expired preview promo was ~90% all-day stacking to ~98% off-peak.
Input / 1M tokens
$2
Output / 1M tokens
$6
Context Window
1.0M
Max Output
131K
Price History
No price change recorded since 2026-08-04, when this site started tracking this model; it launched on 2026-08-03.
Frequently Asked Questions
Common questions about Qwen3.8 Max pricing and usage
How much does Qwen3.8 Max cost?
Qwen3.8 Max costs $2 per 1 million input tokens and $6 per 1 million output tokens. This pricing is set by Alibaba.
What tokenizer does Qwen3.8 Max use?
Qwen3.8 Max uses the cl100k_base tokenizer. This tokenizer has a vocabulary of ~100,000 tokens and is widely used across many models.
What is Qwen3.8 Max's context window?
Qwen3.8 Max supports a context window of 1.0M tokens (1,000,000 tokens). The maximum output length is 131K tokens.
How does Qwen3.8 Max compare to other models?
On an 8,000-token-in, 600-token-out RAG answer, Qwen3.8 Max costs $0.020 per request. The nearest-priced alternatives cost: Qwen3.6-Max-Preview (Alibaba) $0.015, Grok 4.7 (xAI) $0.020, Fugu Max (Sakana AI) $0.020. The table above lists their full rates and context windows.
How do I count tokens for Qwen3.8 Max?
Use the token counter at the top of this page or visit the homepage calculator. Paste your text and it will show the exact token count and cost for Qwen3.8 Max using the cl100k_base tokenizer.
Read More About Qwen3.8 Max
Alibaba charges double for Prime on Qwen3.8 Max and GLM-5.3. On Qwen it buys 1.6x to 1.9x the speed. On GLM-5.3, Alibaba's own standard endpoint is faster, and Decart is 3.4x faster for 42% of the price.
October 3, 2026 · 6 min read
Sakana priced Fugu Max at $2 and $6, which is Qwen3.8 Max's card to the cent, and says the output line is 40% to 60% under Sonnet 5, Terra and Kimi K3. The tokens billed at that rate include every internal call the orchestrator makes, and Sakana publishes neither the count nor the models it calls.
September 12, 2026 · 14 min read
Alibaba says Qwen3.8 Max is the world's second-best model. It won't publish a benchmark, an active-parameter count, or a per-token price.
July 22, 2026 · 7 min read