Qwen3.5 397B A17B

qwen/qwen3.5-397b-a17b
VisionToolsJSONReasoning
by Qwen · 2026-02-16

Qwen3.5 397B-A17B — open-weight MoE multimodal (text/image/video), 397B total / 17B active params, 32k context (vision mode).

ctx32K tokens
Max output65K
Inputtext + image + video
Outputtext
p50 TTFT7.30 s
INPUT$0.17/ 1M tokens
OUTPUT$1.03/ 1M tokens
p50 TTFT7.30 s7d
p95 TTFT10.00 s7d
TRAFFIC31.7Mtokens / 7d

Code samples

Call from any SDK

OpenAI-compatible — keep the SDK you already use

  • OpenAI SDKhttps://api.orcarouter.ai/v1
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.orcarouter.ai/v1",
    api_key=os.environ["ORCAROUTER_API_KEY"],
)

response = client.chat.completions.create(
    model="qwen/qwen3.5-397b-a17b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

  • enable_search
  • enable_thinking
  • include_reasoning
  • logprobs
  • max_tokens
  • n
  • parallel_tool_calls
  • presence_penalty
  • reasoning
  • repetition_penalty
  • response_format
  • seed
  • stop
  • stream
  • stream_options
  • temperature
  • thinking_budget
  • tool_choice
  • tools
  • top_k
  • top_logprobs
  • top_p

Pricing

TierInput / 1M tokensOutput / 1M tokens
128K$0.172$1.032
256K$0.430$2.58
Tier selected by input token count of each request

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $4.30

Estimate based on list price

Tiered pricing — this estimate uses base-tier rates.

Token & cost estimator

Input tokens: 20Cost per request: $0.000519

Estimate only — actual token counts depend on the provider's tokenizer.

Performance

p50 TTFT
7.30 s
Output speed
1070 tok/s
p95 TTFT
10.00 s
Error rate
0.07%

Public benchmarks

48.2
AA Coding
Better than 52% of models compared
#64 of 134
34.3
AA Intelligence
Better than 40% of models compared
#82 of 136
GPQA Diamond
89.3
Humanity's Last Exam
29.0
IFBench
78.8
Long-Context Recall
72.7
SciCode
42.0
tau_banking
13.4
TerminalBench Hard
40.9
terminalbench_v2_1
51.3
τ²-Bench
95.6
Source: artificialanalysis.ai

Community buzz

What developers are saying this week

Hacker News0 mentions · 7d

How it compares

Qwen3.5 397B A17BQwen3.8 MaxQwen3.8 Max (0902)qwen/qwen3-max-preview
Input $/M$0.17$2.00$2.00$0.86
Output $/M$1.03$6.00$6.00$3.44
Context33K1.0M1.0M262K
Quality8/109/109/108/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

FAQ

How much does Qwen: Qwen3.5 397B A17B cost on OrcaRouter?
Qwen: Qwen3.5 397B A17B is priced at $0.17 per 1M input tokens and $1.03 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is Qwen: Qwen3.5 397B A17B's context window?
Qwen: Qwen3.5 397B A17B supports a context window of 33K tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call Qwen: Qwen3.5 397B A17B via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="qwen/qwen3.5-397b-a17b" in the chat.completions.create call.
Does OrcaRouter rate-limit Qwen: Qwen3.5 397B A17B?
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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Qwen: Qwen3.5 397B A17B$0.17/M in7303ms p50via OrcaRouter
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Model card as data

GET /api/public/models/qwen/qwen3.5-397b-a17bOpen
Machine-readable:/llms.txt/llms-full.txt