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?

You can compare Qwen3.8 Max's pricing and capabilities against other LLMs in the comparison table above, or visit the full pricing page for a side-by-side view of all models.

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.

Qwen3.8 Max

Last verified August 4, 2026 · Alibaba pricing ↗

$2.00/1M input · $6.00/1M output · 1.0M context · Alibaba

Count Tokens

Tokens

—

Input Cost

—

Output Cost

—

Tokens

—

Input Cost

—

Output Cost

Estimate Monthly Cost

Monthly Cost Estimator

Quick:

API calls / dayAvg input tokens / callAvg output tokens / call

<$0.0001/mo

Pick a preset above or enter custom usage

Alternatives to Qwen3.8 Max

Cheaper Alternative

Magistral Medium

$2.00 in · $5.00 out · Mistral

13% cheaper

Premium Upgrade

Gemini 3.6 Flash

$1.50 in · $7.50 out · Google

Upgrade with 1049K context

Same Provider

Qwen3.6-Max-Preview

$1.30 in · $7.80 out · Alibaba

Higher tier in Alibaba ecosystem

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

Output / 1M tokens

Context Window

1.0M

Max Output

131K

Full Pricing Table Token Calculator

Price History

Launched at current price on 2026-08-03. No price changes recorded.

Frequently Asked Questions

Common questions about Qwen3.8 Max pricing and usage