Qwen3 Max

qwen/qwen3-max
by Qwen · text in · text out · 262.1K ctx · 2025-09-23

Qwen3 Max — proprietary flagship chat model, 256k context, thinking mode + function calling.

Endpoints:/v1/chat/completions
INPUT$0.36/ 1M tokens
OUTPUT$1.43/ 1M tokens
p50 TTFT1.25 s7d
p95 TTFT1.94 s7d
TRAFFIC88.4Ktokens / 7d
▶ Try in playground</> Use via API
Code samples
from openai import OpenAI

client = OpenAI(
    base_url="https://orcarouter.ai/v1",
    api_key="$ORCAROUTER_API_KEY",
)

response = client.chat.completions.create(
    model="qwen/qwen3-max",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
Pricing
TierInput / 1M tokensOutput / 1M tokens
≤ 32K$0.359$1.43
≤ 128K$0.574$2.29
≤ 256K$1.00$4.01
Tier selected by input token count of each request
Performancelast 7 days
TTFT p50
1.25 s
Output speed
15.0 tok/s
TTFT p95
1.94 s
Error rate
3.0%
Public benchmarksLast evaluated 2025-09-23
AA Coding
26.4
AA Intelligence
31.4
AA Math
80.7
AIME 2025
80.7
GPQA Diamond
76.4
Humanity's Last Exam
11.1
IFBench
44.1
LiveCodeBench
76.7
Long-Context Recall
46.7
MMLU-Pro
84.1
SciCode
38.3
TerminalBench Hard
20.5
τ²-Bench
74.3
Source: artificialanalysis.ai
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FAQ
How much does Qwen: Qwen3 Max cost on OrcaRouter?
Qwen: Qwen3 Max is priced at $0.36 per 1M input tokens and $1.43 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is Qwen: Qwen3 Max's context window?
Qwen: Qwen3 Max supports a context window of 262K tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call Qwen: Qwen3 Max via the OpenAI SDK?
Set OpenAI base_url to https://orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="qwen/qwen3-max" in the chat.completions.create call.
Does OrcaRouter rate-limit Qwen: Qwen3 Max?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.
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