How much does Qwen 3.5 Flash API cost on Routeway?

Qwen 3.5 Flash costs $0.09/1M input tokens on Routeway, offering competitive pricing compared to qwen's direct rates.

Is Qwen 3.5 Flash compatible with OpenAI's API format?

Yes, Qwen 3.5 Flash on Routeway uses the same API format as OpenAI, making it easy to switch with zero code changes. Simply update your API endpoint and key.

What is the context window for Qwen 3.5 Flash?

Qwen 3.5 Flash supports a context window of 991,808 tokens, allowing for extensive conversations and document processing.

How do I get started with Qwen 3.5 Flash on Routeway?

Getting started is easy: 1) Create a Routeway account, 2) Generate your API key, 3) Use our OpenAI-compatible endpoint with Qwen 3.5 Flash as the model parameter.

Back to Models

Qwen 3.5 Flash

Available

Description

Qwen 3.5 Flash is the fastest and cheapest native Qwen 3.5 vision-language model with a 1M-token context window.

At a Glance

Key pricing and model details available for this model.

Input price

$0.09

per 1M tokens

Output price

$0.37

per 1M tokens

Context window

992K

tokens

Hallucination rate

Token Pricing

Token pricing normalized to per-million-token rates.

Input / 1M tokens

$0.09

Output / 1M tokens

$0.37

Cache Read / 1M tokens

$0.02

Cache Write (5m) / 1M tokens

$0.24

Cache Write (1h) / 1M tokens

$0.38

Token Pricing Details

Rates are shown per 1M tokens for easier comparison.

Input / 1M tokens	$0.09
Input unit	1M tokens
Output / 1M tokens	$0.37
Output unit	1M tokens
Cache Read / 1M tokens	$0.02
Cache Read unit	1M tokens
Cache Write (5m) / 1M tokens	$0.24
Cache Write (1h) / 1M tokens	$0.38

Feature Availability

Capabilities explicitly listed in the current payload.

LLM

Available

Yes

Vision

Available

Yes

Function calling

Not listed

Reasoning

Available

Yes

Supported Parameters

frequency_penalty

logit_bias

max_completion_tokens

presence_penalty

reasoning_effort

response_format

stop

temperature

tool_choice

tools

top_p

Artificial Analysis

Index scores currently reported for this model.

Intelligence Index

Coding Index

37.8

Math Index

55.7

Category Radar

Aggregated from the benchmark values present for reasoning, code, math, and accuracy.

Benchmark Breakdown

Detailed benchmark results drawn from the current payload.

Intelligence Index

index

Overall 'how smart' score for an AI, combining reasoning, math, coding, and knowledge.

Reported score

Coding Index

index

How well the model handles real programming tasks.

37.8

Reported score

Math Index

index

Composite score measuring mathematical reasoning and problem-solving.

55.7

Reported score

MMLU-Pro

reasoning

A broad and difficult knowledge-and-reasoning benchmark across many subjects.

88.2%

Reported score

GPQA

reasoning

Graduate-level science questions designed to be difficult to shortcut.

81.2%

Reported score

HLE

reasoning

A very hard expert-level exam across a wide range of subjects.

14.1%

Reported score

LiveCodeBench

code

Fresh programming tasks meant to test current coding ability.

79.7%

Reported score

SciCode

code

Coding tasks drawn from real scientific workflows.

49.9%

Reported score

AIME 2025

math

The 2025 AIME benchmark used to reduce data leakage concerns.

55.7%

Reported score

IFBench

accuracy

Measures how precisely the model follows detailed instructions.

55.1%

Reported score

LCR

accuracy

Tests long-context reasoning over large documents and conversations.

48%

Reported score

TerminalBench Hard

code

A harder coding-agent benchmark for complex multi-step terminal tasks.

31.8%

Reported score

Tau2

accuracy

Evaluates realistic agent behavior in tool-using support workflows.

43.3%

Reported score

Code Samples

Quick start with the Routeway API

import OpenAI from 'openai';

const openai = new OpenAI({
  baseURL: "https://api.routeway.ai/v1",
  apiKey: "<YOUR_API_KEY>",
});

async function main() {
  const completion = await openai.chat.completions.create({
    model: "qwen3.5-flash",
    messages: [
      {
        role: "user",
        content: "Explain quantum computing in simple terms"
      }
    ]
  });

  console.log(completion.choices[0].message);
}

main();