Qwen: Qwen3.5 Plus 2026-02-15

Public pricingIntelligence 81/100Huge memoryVisionDeep thinkingTool use

Qwen: Qwen3.5 Plus 2026-02-15 is a multimodal model for vision-language understanding. It combines multimodal input handling and image understanding with a 1M+ tokens context window and a low-cost profile. Use it for image and video understanding when latency, cost, and throughput matters.

Input

$0.26/1M

Output

$1.56/1M

Cached

$0.10/1M

Batch

$0.20/1M

Calculate your Qwen3.5 Plus 2026-02-15 bill.

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What would Qwen3.5 Plus 2026-02-15 cost you?

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Technical specifications

Qwen3.5 Plus 2026-02-15 at a glance.

Memory

1,000,000

tokens

Max reply

65,536

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

qwen3

Released

Feb 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    88.6

  • mmlu_pro

    87.8

  • humaneval

    79.3

  • aime_2025

    91.3

  • ifeval

    92.6

  • livecodebench

    83.6

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen3.5 Plus 2026-02-15

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Qwen3.5 Plus 2026-02-15 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3.5 Plus 2026-02-15 costs roughly $82 per month. Input is $0.26 /1M tokens and output is $1.56 /1M tokens.
Qwen3.5 Plus 2026-02-15 has a 1,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 187,500 words of input and history in a single call.
Beyond text generation, Qwen3.5 Plus 2026-02-15 supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3.5 Plus 2026-02-15 was released in February 2026, with training data cut off around October 2025.
Models in a similar class include Qwen Plus 0728 (thinking), Qwen-Plus, Qwen3.5-122B-A10B. The "Similar models" section below this FAQ links into each.

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