Qwen3.6 35B A3B

obsidian/Qwen3.6-35B-A3B
VisionToolsJSONReasoning
by obsidian · 2026-07-02

Qwen3.6 35B A3B is a mixture-of-experts build of Alibaba's Qwen3.6 (35B total parameters, about 3B active per token) with a 262K-token context window and text, image, and video input. Preserves the original model's reasoning, coding, multilingual performance, and tool use. Designed to provide direct, complete responses across a wide range of prompts. The model may occasionally append brief informational disclaimers inherited from the base model's training. Ideal for AI research, security testing, red teaming, agent development, coding assistants, and other advanced AI applications that benefit from maximum output flexibility.

ctx262K tokens
Inputtext + image + video
Outputtext
Best forreasoning, vision
p50 TTFT4.32 s
INPUT$0.31/ 1M tokens
OUTPUT$4.21/ 1M tokens
p50 TTFT4.32 s7d
p95 TTFT10.00 s7d
TRAFFIC82.9Mtokens / 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="obsidian/Qwen3.6-35B-A3B",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

  • include_reasoning
  • reasoning
  • max_tokens
  • temperature
  • top_p
  • top_k
  • min_p
  • presence_penalty
  • frequency_penalty
  • stop
  • seed
  • response_format
  • structured_outputs
  • tools
  • tool_choice

Pricing

Pricing
Input / 1M tokens$0.310
Output / 1M tokens$4.21
CurrencyUSD

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $14.80

Estimate based on list price

Token & cost estimator

Input tokens: 20Cost per request: $0.002111

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

Performance

p50 TTFT
4.32 s
Output speed
91.0 tok/s
p95 TTFT
10.00 s
Error rate
6.3%

Public benchmarks

41.9
AA Coding
Better than 41% of models compared
#80 of 138
18.2
AA Intelligence
Better than 29% of models compared
#99 of 141
GPQA Diamond
84.1
Humanity's Last Exam
22.2
IFBench
64.4
Long-Context Recall
71.7
SciCode
36.6
tau_banking
9.3
TerminalBench Hard
34.8
terminalbench_v2_1
44.9
τ²-Bench
95.3
Source: artificialanalysis.ai

Community buzz

What developers are saying this week

Hacker News1 mentions · 7dup 1 vs the previous week

How it compares

Qwen3.6 35B A3BQwen3.8 27BGemma 4 26B A4B
Input $/M$0.31$0.40$0.25
Output $/M$4.21$4.21$2.90
Context262K262K262K
Quality4/104/104/10
Compare side-by-sideCompare side-by-sideCompare side-by-side

FAQ

How much does Qwen3.6 35B A3B cost on OrcaRouter?
Qwen3.6 35B A3B is priced at $0.31 per 1M input tokens and $4.21 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is Qwen3.6 35B A3B's context window?
Qwen3.6 35B A3B supports a context window of 262K tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call Qwen3.6 35B A3B via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="obsidian/Qwen3.6-35B-A3B" in the chat.completions.create call.
Does OrcaRouter rate-limit Qwen3.6 35B A3B?
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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Qwen3.6 35B A3B$0.31/M in4315ms p50via OrcaRouter
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Model card as data

GET /api/public/models/obsidian/qwen3.6-35b-a3bOpen
Machine-readable:/llms.txt/llms-full.txt