Qwen3.8 Max

Qwen3.8 Max is Alibaba's flagship Qwen model, a sparse mixture-of-experts vision-language model for complex reasoning, code generation, and long-document analysis.

input · usd / 1m tok

$2.00

output · usd / 1m tok

$6.00

context window

1.05mtokens

modalities · in → out

takes text and image in, gives text out

pricing

base api ratesusd per 1m tokens

input
$2.00
output
$6.00
cache read
$0.25
cache write · default ttl
$2.50

providers

Qwen hosts Qwen3.8 Max. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

  • Qwen

specifications

takes text and image in, gives text outqwen/qwen3.8-max

  • creatorQwen
  • model typeText generation
  • context window1,048,576 tokens
  • maximum outputnot published
  • input

    takes text and image in, gives text out

  • outputtext
  • tool callingnot verified
  • releasedaug 3, 2026
  • endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="qwen/qwen3.8-max",
    input="",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

40.3#15 of 90 models on the gateway

  1. coding index71.8#18 of 60
  2. agentic index49.6#12 of 49
  3. omniscience3.4#30 of 86
  4. gpqa92.7%#18 of 88
  5. humanity’s last exam43.0%#14 of 89
  6. terminal-bench v2.181.3%#19 of 57
  1. GPQA92.7%
  2. MMMU-Pro82.3%
  3. Terminal-Bench v2.181.3%
  4. AA-LCR78.3%
  5. SciCode53.2%
  6. Tau Banking51.3%
  7. AutomationBench Partial49.2%
  8. Humanity’s Last Exam43.0%
  9. GDP.pdf All-pass20.2%
  10. CritPt20.0%
  11. Multilingual LCR19.4%
  12. Terminal-Bench v4.018.7%
  • Intelligence Index40.30
  • Omniscience Index3.40
  • GDPval Elo1630.39
  • coding index (API)71.8
  • agentic index (API)49.6
  • intelligence index (API)40.3

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-09-11.

compare Qwen3.8 Max with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

impossibl models --all →

frequently asked questions

What is Qwen3.8 Max?

Qwen3.8 Max is Alibaba's flagship Qwen model, a sparse mixture-of-experts vision-language model for complex reasoning, code generation, and long-document analysis. It can ingest hundred-page documents, full television series, or long livestreams, and has run multi-day autonomous software engineering projects.

How much does Qwen3.8 Max cost?

Qwen3.8 Max costs $2.00 per million input tokens and $6.00 per million output tokens through the Impossibl API. Cache reads cost $0.25 per million tokens; cache writes cost $2.50 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of Qwen3.8 Max?

Qwen3.8 Max has a 1,048,576-token context window through the Impossibl API.

What inputs and outputs does Qwen3.8 Max support?

Qwen3.8 Max accepts text and image as input. Qwen3.8 Max returns text.

How do I use Qwen3.8 Max through an API?

Qwen3.8 Max is available through the Impossibl API. Use qwen/qwen3.8-max as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was Qwen3.8 Max released?

Qwen released Qwen3.8 Max on August 3, 2026.

this page describes Qwen3.8 Max as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

view the source catalog ↗model as markdown ↗report a correction →