Qwen3.5-27B

qwen/qwen3.5-27b
VisionToolsJSONReasoning
by Qwen · 2026-02-25

Qwen3.5 27B — open-weight dense multimodal (text/image/video), 27B params, 32k context (vision mode).

Endpoints:/v1/chat/completions
ctx32K tokens
Max output65K
Inputtext + image + video
Outputtext
p50 TTFT7.00 s
INPUT$0.09/ 1M tokens
OUTPUT$0.69/ 1M tokens
p50 TTFT7.00 s7d
p95 TTFT10.00 s7d
TRAFFIC3.2Mtokens / 7d
Get the Qwen3.5-27B API →▶ Try in playground</> Use via API

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/qwen3.5-27b",
    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$0.086$0.688
≤ 256K$0.258$2.064
Tier selected by input token count of each request

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $2.67

Estimate based on list price

Tiered pricing — this estimate uses base-tier rates.

Token & cost estimator

Input tokens: 20Cost per request: $0.000346

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

Performance

last 7 days
p50 TTFT
7.00 s
Output speed
57.6 tok/s
p95 TTFT
10.00 s
Error rate
0%

Public benchmarks

Last evaluated 2026-06-25
59.3
AA Coding
Better than 71% of models compared
#38 of 133
34.6
AA Intelligence
Better than 43% of models compared
#77 of 135
62.3
AA Math
Better than 48% of models compared
#43 of 82
GPQA Diamond
85.8
Humanity's Last Exam
23.9
IFBench
75.6
Long-Context Recall
72.3
MMLU-Pro
65.3 index
SciCode
39.5
TerminalBench Hard
32.6
τ²-Bench
93.9
Source: artificialanalysis.ai

Community buzz

What developers are saying this week

Hacker News0 mentions · 7d

How it compares

Qwen3.5-27BQwen3.8 Maxqwen/qwen3-max-previewQwen3.5 397B A17B
Input $/M$0.09$2.00$0.86$0.17
Output $/M$0.69$6.00$3.44$1.03
Context33K1.0M262K33K
Quality6/109/108/108/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

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FAQ

How much does Qwen: Qwen3.5-27B cost on OrcaRouter?
Qwen: Qwen3.5-27B is priced at $0.09 per 1M input tokens and $0.69 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is Qwen: Qwen3.5-27B's context window?
Qwen: Qwen3.5-27B supports a context window of 33K tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call Qwen: Qwen3.5-27B via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="qwen/qwen3.5-27b" in the chat.completions.create call.
Does OrcaRouter rate-limit Qwen: Qwen3.5-27B?
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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Model card as data

GET /api/public/models/qwen/qwen3.5-27bOpen
Machine-readable:/llms.txt/llms-full.txt