Alibaba (Qwen) · Released Mar 2, 2026Qwen3.5 2B
Compact Qwen3.5 multimodal model for fast chat, reasoning, and tool use.
- Capability
- —No ECI score yet
- Input
- $0.02per 1M tokens
- Output
- $0.10per 1M tokens
- Context
- 262K82K max output
What it costs
- Input
- $0.02per million tokens
- Output
- $0.10per million tokens
- Blended (3:1)
- $0.04cheaper than 97% of priced models
Typical monthly bills
| Monthly usage | Estimated cost |
|---|---|
| Side project2M input + 0.5M output tokens | $0.09 |
| Team assistant25M input + 5M output tokens | $1.00 |
| Production app250M input + 50M output tokens | $10.00 |
Median of 1 paid API provider on models.dev.
Independent benchmarks
Epoch AI has not published a Capabilities Index score for Qwen3.5 2B yet.
The details
- Lab
- Alibaba (Qwen)
- Released
- Mar 2, 2026
- Context window
- 262,144 tokens
- Max output
- 81,920 tokens
- Inputs
- Text, Images, Video
- Output
- Text
- Reasoning
- Always on
- Tool calling
- Yes
- Structured output
- No
- Weights
- Open weights · Apache-2.0
- Availability
- 2 API providerslisted on models.dev
More from Alibaba (Qwen)
About Qwen3.5 2B
How much does Qwen3.5 2B cost?
Qwen3.5 2B costs $0.02 input / $0.10 output per million tokens (median across 1 API provider). At a 3:1 input-to-output mix that is $0.04 per million tokens, cheaper than 97% of the 445 priced models we track.
What is the context window of Qwen3.5 2B?
Qwen3.5 2B accepts up to 262,144 tokens per request and can write up to 81,920 tokens in one response.
How good is Qwen3.5 2B?
Epoch AI has not published a Capabilities Index score for Qwen3.5 2B yet.
Is Qwen3.5 2B open source?
Yes. Alibaba (Qwen) publishes the weights under the Apache-2.0 licence, so it can be downloaded and self-hosted.
What inputs does Qwen3.5 2B support?
Qwen3.5 2B accepts text, images and video and replies in text. It is a reasoning model, supports tool calling.
When was Qwen3.5 2B released?
Alibaba (Qwen) released Qwen3.5 2B on Mar 2, 2026.
What are the best alternatives to Qwen3.5 2B?
The closest current models from other labs on capability, price and release date are Gemma 4 E4B IT (Google, $0.02 / $0.10), LFM2 24B A2B (Liquid AI, $0.03 / $0.12), Granite-4.0-H-Micro (IBM, $0.018 / $0.115) and Schematron V2 Turbo (Inference.net, $0.03 / $0.15).