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Qwen3-Coder 30B-A3B Instruct

alibaba·alibaba/qwen3-coder-30b-a3b-instruct·GA·Open weights·qwen series
Smaller Qwen coder for efficient local agents and repo-level fixes

Qwen3-Coder 30B-A3B Instruct by alibaba is offered by 22 providers on this page. Public prices are shown for 20 of them. Its official list price is $0.45 per 1M input tokens and $2.25 per 1M output tokens. The lowest paid channel is Cortecs at $0.067 / $0.245 per 1M, about 6.7× below the list 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 9.6 on the Intelligence Index. Against its lowest blended price of $0.112 per 1M, that is roughly 86 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 87 tokens per second, with 2.65s to the first token.

The context window is 262,144 tokens at the reference host, but hosts report different limits, from 128,000 to 262,144, so the usable window depends on the provider you pick. It supports tool use and structured output. 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
Official price·Alibaba
$0.45 / $2.25
Blended $0.90 · Cache read —
Lowest paid·CortecsGateway
$0.067 / $0.25
Blended $0.11 · 6.7× spread
2 more $0 channels
Context
262,144
Output limit
65,536
Knowledge cutoff
2025-04
Released / updated
2025-04 / 2025-04
Capabilities
Reasoning✓ Tool use✓ Structured output✓ TemperatureAttachments
⚠ Providers report capability flags inconsistently
Modalities
Text
Weights
Hugging Face

Quality & performanceArtificial Analysis · Intelligence Index v4.3

Intelligence9.6
Value86
Coding—
Agentic—
Output speed87 tok/s
TTFT2.65 s
Value formulaIQ 9.6 ÷ min blended $0.112 = 86

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

Available at 22 providers20 with public prices · 2 free

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
Pendra
qwen3-coder:30b
GatewayFree——262,14465,536
ModelScope
Qwen/Qwen3-Coder-30B-A3B-Instruct
CloudFree——262,14465,536
CortecsGateway$0.067$0.25$0.014—262,144262,144
Hugging Face
Qwen/Qwen3-Coder-30B-A3B-Instruct
Cloud$0.07$0.26——262,14465,536
OVHcloud AI EndpointsCloud$0.07$0.26——262,144262,144
NovitaAIGateway$0.07$0.27——160,000 ⚠32,768
DevPass (LLM Gateway)Gateway$0.07$0.27——262,000 ⚠65,536
LLM GatewayGateway$0.07$0.27——160,000 ⚠32,768
OpenRouterGateway$0.07$0.28——262,144235,929
SiliconFlow
Qwen/Qwen3-Coder-30B-A3B-Instruct
Cloud$0.07$0.28——262,000 ⚠262,000
Alibaba (China)OfficialFirst-party$0.22
tiered >32K: $0.32 · >128K: $0.54
$0.86——262,14465,536

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

1Cortecs$19.29
2Hugging Face$27.00
3OVHcloud AI Endpoints$27.00
4NovitaAI$27.50
5DevPass (LLM Gateway)$27.50
6LLM Gateway$27.50
16Alibaba (China) · Official$86.25

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

Switch to Cortecs to save $66.96/mo (78%)
Note: this is a gateway; verify availability and rate limits yourself.

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$2.25$02026-08-052026-09-242026-08-05 · Input list $0.452026-08-06 · Input list $0.452026-08-07 · Input list $0.452026-08-08 · Input list $0.452026-08-09 · Input list $0.452026-08-10 · Input list $0.452026-08-11 · Input list $0.452026-08-12 · Input list $0.452026-08-13 · Input list $0.222026-09-20 · Input list $0.222026-09-24 · Input list $0.452026-08-05 · Output list $2.252026-08-06 · Output list $2.252026-08-07 · Output list $2.252026-08-08 · Output list $2.252026-08-09 · Output list $2.252026-08-10 · Output list $2.252026-08-11 · Output list $2.252026-08-12 · Output list $2.252026-08-13 · Output list $0.862026-09-20 · Output list $0.862026-09-24 · Output list $2.252026-08-05 · Min blended $0.0952026-08-06 · Min blended $0.0952026-08-07 · Min blended $0.0952026-08-08 · Min blended $0.0952026-08-09 · Min blended $0.112026-08-10 · Min blended $0.112026-08-11 · Min blended $0.112026-08-12 · Min blended $0.112026-08-13 · Min blended $0.112026-09-20 · Min blended $0.112026-09-24 · Min blended $0.11

Benchmark3 items

NameConditionsScoreMetricSource
Artificial Analysis Coding Index—19.4indexSource ↗
SciCode—27.8percent correctSource ↗
Terminal-Bench Hard—15.2success rateSource ↗

The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.

Artificial Analysis evaluations11 items

GPQA Diamond51.6%
Humanity's Last Exam3.8%
MMLU-Pro70.6%
LiveCodeBench40.3%
Terminal-Bench Hard15.2%
AIME 202529.0%
AIME29.7%
MATH-50089.3%
τ²-Bench Telecom34.5%
AA-LCR32.7%
IFBench32.6%

Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.

Related models

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Data partly from models.dev (MIT) · Alibaba official docs ↗