compare/DecisionsvsQwen3.8-Max

Decisions vs Qwen3.8-Max

Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

RUN BOTH LIVE

Paste a prompt. Watch them race.

Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.

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 Decisions
openai/decisions
Qwen3.8-Max
alibaba/qwen3.8-max
ProviderOpenAIAlibaba
FamilyQwen
Modalitytexttext
Context window1,050,000 tok1,000,000 tok
Max output32,768 tok131,072 tok
Released2026-10-262026-08-02
Input price$0.100 /1M$2.00 /1M
Output price$0.0000 /1M$6.00 /1M
Cache read——
Tools—yes
Streamingyesyes
Vision—yes
JSON mode—yes
Reasoning—yes
Prompt caching——
Decisions
openai/decisions
Full spec →

Decisions uses GPT-6 Luna to evaluate shared text or image evidence against typed questions. It returns probabilities, fixed choices, or rubric scores for low-latency classification, routing, and prioritization workflows.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Qwen3.8-Max
alibaba/qwen3.8-max
Full spec →

Alibaba's Qwen 3.8 Max is a 2.4-trillion-parameter MoE flagship built for professional-grade coding and long-horizon autonomous work, capable of delivering complete, production-grade projects spanning 10+ days across legal, financial, design, and other specialized domains. Native visual understanding of images and extended video runs through the full plan-execute-verify cycle, served via DashScope's OpenAI-compatible endpoint.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
SWITCH BETWEEN THEM

One key, both models, one line different.

# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Try Decisions
client.chat.completions.create(
    model="openai/decisions",
    messages=[{"role":"user","content":"hello"}],
)

# Try Qwen3.8-Max — same client, same key
client.chat.completions.create(
    model="alibaba/qwen3.8-max",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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