Qwen

Qwen 3.5 397B — Benchmark Scores, Pricing & Performance Analysis

OPEN SOURCEQwen
Chatbot Arena ELO
1350
Output Speed
45 tok/s
Input Cost
$0.55/1M
Output Cost
$3.5/1M
Context Window
262K
Max Output
236K
Accepts
text, image, video

Qwen 3.5 397B by Qwen demonstrates strong general intelligence, excellent coding ability. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

General Benchmarks

Chatbot Arena ELO
135031st of 74

Human preference ELO from blind head-to-head votes

LMSYS / HuggingFace
MMLU-Pro
81.0%22nd of 66

Massive Multitask Language Understanding professional benchmark

HuggingFace Leaderboard
AA Intelligence Index
19.141st of 66

Artificial Analysis composite intelligence score across 10 sub-benchmarks

Artificial Analysis (via OpenRouter)

Coding Benchmarks

LiveCodeBench
54.0%29th of 66

Live competitive programming benchmark

livecodebench.github.io
HumanEval+
88.0%20th of 66

Code generation correctness with extended tests

Papers
SWE-bench Verified
76.4%10th of 67

Real-world software engineering task resolution

swebench.com
AA Coding Index
48.247th of 96

Artificial Analysis composite coding score

Artificial Analysis (via OpenRouter)
Design Arena ELO
118351st of 120

Human preference ELO for building things — websites, UI, games, charts, SVG

Design Arena (via OpenRouter)

Math Benchmarks

GSM8K
95.0%21st of 66

Grade school math word problems

Papers
MATH
87.0%21st of 66

Competition mathematics problem solving

Papers

Reasoning Benchmarks

ARC-AGI
45.0%16th of 66

Abstraction and Reasoning Corpus for general intelligence

arcprize.org
GPQA Diamond
62.0%97th of 140

Graduate-level science Q&A by domain experts

Papers
AA Agentic Index
10.643rd of 70

Artificial Analysis composite score for multi-step tool-using tasks

Artificial Analysis (via OpenRouter)

Speed Benchmarks

Time to First Token
600 ms67th of 92

Latency before first token arrives

Aggregated
Output Speed
45 tok/s83rd of 94

Tokens generated per second

Aggregated

Cost Benchmarks

Cached Input Cost
$0.23104th of 136

Cost per 1M cached input tokens — the price that actually applies to a long agent conversation

OpenRouter API
Output Cost
$3.5286th of 413

Cost per 1M output tokens

OpenRouter API
Input Cost
$0.55255th of 413

Cost per 1M input tokens

OpenRouter API

Context Benchmarks

Context Length
262K108th of 451

Maximum context window size

OpenRouter API

Available from 1 provider

The same model costs different amounts depending on who serves it.

ProviderInput / 1MOutput / 1MCached inContextYour key
Venice AI$0.75$4.5—128K—

Qwen 3.5 397B — Benchmark Scores Overview

Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).

Qwen 3.5 397B — Frequently Asked Questions

How intelligent is Qwen 3.5 397B?

Qwen 3.5 397B scores 1350 on the Chatbot Arena ELO rating, making it a high-performing AI model. This score is based on blind head-to-head human preference voting.

How much does Qwen 3.5 397B cost?

Qwen 3.5 397B costs $0.55 per 1M input tokens and $3.5 per 1M output tokens. This is mid-range pricing for its capability level.

How fast is Qwen 3.5 397B?

Qwen 3.5 397B generates output at 45 tokens per second, which is slower, prioritizing quality over speed compared to other models. The time to first token is 600 ms.

How good is Qwen 3.5 397B at coding?

Qwen 3.5 397B achieves 76.4% on SWE-bench Verified, demonstrating excellent real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.

How good is Qwen 3.5 397B at math and reasoning?

Qwen 3.5 397B scores 87.0% on the MATH benchmark (competition-level mathematics). It also achieves 62.0% on GPQA Diamond, a graduate-level science reasoning benchmark.

What is the context window of Qwen 3.5 397B?

Qwen 3.5 397B has a context window of 262K tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created Qwen 3.5 397B?

Qwen 3.5 397B was created by Qwen. It is classified as a open source model in our catalogue.

Is Qwen 3.5 397B open source?

Yes, Qwen 3.5 397B is an open-source model. The model weights are publicly available for download and self-hosting.