What is the IQ of qwen3.5-4b?

qwen3.5-4b has an estimated IQ of 90, which ranks #150 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.

How much does qwen3.5-4b cost?

qwen3.5-4b costs $0.03 per million input tokens and $0.15 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.1187 per million input-plus-output tokens.

Is qwen3.5-4b open source?

Yes — qwen3.5-4b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.

When was qwen3.5-4b released?

qwen3.5-4b was publicly released on March 2, 2026.

How large is the context window of qwen3.5-4b?

qwen3.5-4b supports a context window of 262,000 tokens — the amount of text it can consider in a single request.

How fast is qwen3.5-4b?

In independent measurements, qwen3.5-4b generates about 25 tokens per second, with a typical response time of about 101 seconds.

Alibaba

qwen3.5-4b

Public AI IQ model profile with source-backed benchmark results and derived ranking context.

IQ

90

EQ

n/a

Effective Cost

$0.1187

IQ Rank

#150

qwen3.5-4b API pricing — full price table, workload cost examples, and cheaper alternatives.

Release and Capabilities

Public release	2026-03-02
Context window	262,000 tokens

Measured Coverage and Estimates

Qwen3.5 4b has 10 of 39 tracked IQ benchmark inputs across 3 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete.

Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Academic Reasoning (IQ 104) and Mathematical Reasoning (IQ 103). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.

Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.

IQ Dimensions

Dimension	IQ	Coverage
Abstract Reasoning	77	0/5
Mathematical Reasoning	103	1/5
Academic Reasoning	104	6/6
Programmatic Reasoning	91	0/6
Computer Use	76	0/5
Reliability	101	3/6
Knowledge Work	79	0/6

Benchmark Results

Benchmark	Score	Dimension
AA Long Context Reasoning v1.1	63	Reliability
AA Omniscience	-58.35	Reliability
CritPt	0	Academic Reasoning
GPQA Diamond	77.0707	Academic Reasoning
Humanity's Last Exam	9.9166	Academic Reasoning
IFBench	51.9728	Reliability
MathArena	12.8	Mathematical Reasoning
MMLU-Pro	79.1	Academic Reasoning
MMMU-Pro	65.3757	Academic Reasoning
SciCode	16	Academic Reasoning

Compare

Frequently Asked Questions

What is the IQ of qwen3.5-4b?: qwen3.5-4b has an estimated IQ of 90, which ranks #150 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
How much does qwen3.5-4b cost?: qwen3.5-4b costs $0.03 per million input tokens and $0.15 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.1187 per million input-plus-output tokens.
Is qwen3.5-4b open source?: Yes — qwen3.5-4b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
When was qwen3.5-4b released?: qwen3.5-4b was publicly released on March 2, 2026.
How large is the context window of qwen3.5-4b?: qwen3.5-4b supports a context window of 262,000 tokens — the amount of text it can consider in a single request.
How fast is qwen3.5-4b?: In independent measurements, qwen3.5-4b generates about 25 tokens per second, with a typical response time of about 101 seconds.