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Qwen3.5 4B

alibaba·alibaba/qwen3.5-4b·GA·Open weights·qwen series·NEW
Qwen3.5 4B is a compact open-weight multimodal model from Alibaba for reasoning, coding, visual understanding, tool use, and structured output.

Qwen3.5 4B by alibaba is offered by 4 providers on this page. Public prices are shown for 2 of them. Its reference price is $0.10 per 1M input tokens and $0.20 per 1M output tokens. The lowest paid channel is EmpirioLabs AI at $0.04 / $0.07 per 1M, about 2.5× below the reference price. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it. It also has 2 free ($0) channels; free tiers usually carry rate limits, and subscription-covered access bills $0 per token only after the subscription fee.

Artificial Analysis rates it 20.4 on the Intelligence Index, with 22.6 for coding. Against its lowest blended price of $0.048 per 1M, that is roughly 429 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 27 tokens per second, with 0.75s to the first token.

The context window is 262,144 tokens at the reference host, but hosts report different limits, from 32,768 to 262,144, so the usable window depends on the provider you pick. It supports reasoning, tool use, and structured output. Accepted input modalities are Text, Image, and Video. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Providers report the capability flags inconsistently, so verify a specific feature against the host you plan to use. Its training knowledge cuts off at 2025-04.

Specs & pricing

Input / output per 1M tokens
Reference price·NanoGPT
$0.10 / $0.20
Blended $0.125 · Cache read $0.05
Lowest paid·EmpirioLabs AIGateway
$0.04 / $0.07
Blended $0.048 · 2.5× spread
2 more $0 channels
Context
262,144
Output limit
32,768
Knowledge cutoff
2025-04
Released / updated
2026-08-16 / 2026-08-16
Capabilities
✓ Reasoning✓ Tool use✓ Structured output✓ Temperature✓ Attachments
⚠ Providers report capability flags inconsistently
Modalities
TextImageVideo

Quality & performanceArtificial Analysis · Intelligence Index v4.1 · rep. tier Reasoning

Intelligence20.4
Value429
Coding22.6
Agentic—
Output speed27 tok/s
TTFT0.75 s
Value formulaIQ 20.4 ÷ min blended $0.048 = 429
Reasoning tier → intelligence / speed (higher tier = stronger but slower)
Non-reasoningIQ 16.1 · 25 tok/s
ReasoningIQ 20.4 · 27 tok/s

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 4 providers2 with public prices · 2 free

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
QVACGatewayFree——32,768 ⚠8,192
SiliconFlow (China)
Qwen/Qwen3.5-4B
CloudFree——262,14465,536
EmpirioLabs AI
qwen3-5-4b
Gateway$0.04$0.07$0.02—262,14432,768
NanoGPTGateway$0.10$0.20$0.05—262,14432,768

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1EmpirioLabs AI$9.10
2NanoGPT$24.00

2 more channels offer $0 (QVAC, SiliconFlow (China)); free tiers usually have rate limits and no SLA, excluded from ranking.

The cheapest paid channel is the only channel.

Reasoning control

Toggle (on / off)effort = noneeffort = loweffort = mediumeffort = higheffort = maxbudget_tokens ≥ 1,024 ≤ 32,768

1 / 4 providers expose no reasoning control (reasoning_options: []).

Related models

Qwen3.8 Max 0902same series$2.00 / $6.00Qwen 3.8 27B Fablesame series$0.25 / $1.50Qwen3.8 Flash Nextsame series$0.201 / $0.50GLM-4.7-Flashcheaper alternative$0 / $0Hy3cheaper alternative$0 / $0Qwen3.7 Flashcheaper alternative$0.03 / $0.118Nemotron 3 Nano 30B A3Bcheaper alternative$0 / $0

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$0.20$02026-08-052026-08-172026-08-05 · Input list $0.042026-08-06 · Input list $0.042026-08-07 · Input list $0.042026-08-08 · Input list $0.042026-08-09 · Input list $0.042026-08-10 · Input list $0.042026-08-11 · Input list $0.042026-08-12 · Input list $0.042026-08-13 · Input list $0.042026-08-17 · Input list $0.102026-08-05 · Output list $0.072026-08-06 · Output list $0.072026-08-07 · Output list $0.072026-08-08 · Output list $0.072026-08-09 · Output list $0.072026-08-10 · Output list $0.072026-08-11 · Output list $0.072026-08-12 · Output list $0.072026-08-13 · Output list $0.072026-08-17 · Output list $0.202026-08-05 · Min blended $0.0482026-08-06 · Min blended $0.0482026-08-07 · Min blended $0.0482026-08-08 · Min blended $0.0482026-08-09 · Min blended $0.0482026-08-10 · Min blended $0.0482026-08-11 · Min blended $0.0482026-08-12 · Min blended $0.0482026-08-13 · Min blended $0.0482026-08-17 · Min blended $0.048
Data partly from models.dev (MIT) · NanoGPT official docs ↗