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Alibaba (Qwen) · language model

Qwen3.5 Plus 2026-02-15: pricing, context and benchmarks

Qwen3.5 Plus 2026-02-15 is Alibaba (Qwen)'s model released on February 16, 2026. It costs $0.26 per million input tokens and $1.56 per million output tokens, with a 1M-token context window. No independent score has been published for it so far.

Score
67/100
Price 17/30
Context 12/15
Features 11/15
Mid-range costReasoningTool calling

What you need to know about Qwen3.5 Plus 2026-02-15

Alibaba (Qwen), based in China, put Qwen3.5 Plus 2026-02-15 online on February 16, 2026. It accepts text, images, and video as input and produces text. Its context window reaches 1,000,000 tokens, larger than 77 % of the models in the registry, and it can write up to 65,536 tokens in one go.

It has been available for about 8 months, long enough for its prices and scores to have settled.

Qwen3.5 Plus 2026-02-15 pricing

On OpenRouter, Qwen3.5 Plus 2026-02-15 costs $0.26 per million input tokens and $1.56 per million output tokens. Counting three tokens read for every token written, its average price is $0.585 per million, more expensive than 45 % of paid models (1.3 times cheaper than the median of $0.76).

A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0013. At 1,000 tasks a day, budget $39 a month. The price calculator redoes this with your own volumes.

Performance and benchmarks

Epoch AI does not yet publish a capabilities index for Qwen3.5 Plus 2026-02-15. We therefore show no made-up performance rating: only price, context and features count towards its score.

Scores published by Epoch AI on the benchmarks the site tracks:

Source: Epoch AI, Benchmarking Hub (CC BY 4.0).
BenchmarkWhat it measuresScoreDate
GPQA DiamondPhD-level science questions84.9 %Feb 16, 2026
OTIS Mock AIMEmaths competition problems86.7 %Feb 16, 2026
SimpleQA Verifiedaccuracy on simple facts25.4 %Feb 16, 2026
GPQA DiamondGPQA Diamond : 84.9 %84.9 %OTIS Mock AIMEOTIS Mock AIME : 86.7 %86.7 %SimpleQA VerifiedSimpleQA Verified : 25.4 %25.4 %
Qwen3.5 Plus 2026-02-15 success rate by benchmark (Epoch AI).

Features, privacy and local use

  • It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
  • It can answer in an enforced JSON format (structured outputs).
  • It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.

Its weights are not published: it can only be used through the Alibaba (Qwen) API or a broker such as OpenRouter, which means sending your data off your machines.

Other Alibaba (Qwen) models

Average price per million tokens (3 input for 1 output).
ModelReleasedAvg. priceECI
Qwen3.8 Max PrimeSep 23, 2026$6—
Qwen3.8 Omni FlashSep 21, 2026$0.23—
Qwen3.8 Max (0902)Sep 3, 2026$3155.1
Qwen3.8 FlashAug 26, 2026$0.23—
Qwen3.8 27BAug 14, 2026$0.78151.7
Qwen3.8 2.4T A95BAug 12, 2026$3—
Qwen3.7 FlashJul 27, 2026$0.06144.1
Qwen3.7 PlusJun 3, 2026$0.56147

Verdict

Computed score: 67/100, from public data (performance, price, context, features).

Strengths

  • Very large context (1M tokens): long documents or a whole codebase fit in one request.
  • Agent-ready: tool calling and structured JSON output.

Limitations

  • No independent score published: performance cannot be verified.

Avoid if…

  • your data must not leave your servers.

Frequently asked questions

How much does Qwen3.5 Plus 2026-02-15 cost?

$0.26 per million input tokens and $1.56 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0013.

How big is Qwen3.5 Plus 2026-02-15's context window?

1,000,000 tokens, roughly 750,000 words, with a maximum of 65,536 output tokens.

Can Qwen3.5 Plus 2026-02-15 run locally?

No, Alibaba (Qwen) does not publish its weights: it is API-only.

Is Qwen3.5 Plus 2026-02-15 suitable for an AI agent?

Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.

What are the alternatives to Qwen3.5 Plus 2026-02-15?

The closest models on price and performance are GPT-4.1 Mini, Inkling Small, and GLM 5.3 FlashX.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score