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Qwen3 30B A3B Instruct 2507

qwen/qwen3-30b-a3b-instruct-2507
QwenChinaOpen weights

No volume over the last 7 days. Weekly share peaked at 0.04% in the week of Mar 9, 2026, with 0.01T tokens processed since Oct 27, 2025.

Launch
Jul 29, 2025
Context
256k tokens
Modality
text → text
Reasoning
no
License
Open weights
Input
$0.09 / 1M
Output
$0.30 / 1M
Share, last 7 days
no volume over the last 7 days
Peak weekly share
0.04%
week of Mar 9, 2026
Cumulative tokens
0.01T
since the week of Oct 27, 2025
Weeks in the top 10
0
of 2 weeks with volume

Weekly token share

Share of the router's weekly volume, since the first week with volume

0.0%0.0%0.0%0.0%0.0%0.1%Nov '25Jan '26MarMayJulpeak 0.04% on Mar 9, 2026
See the numbers
WeekShare
Aug 31, 20260.000%
Aug 24, 20260.000%
Aug 17, 20260.000%
Aug 10, 20260.000%
Aug 3, 20260.000%
Jul 27, 20260.000%
Jul 20, 20260.000%
Jul 13, 20260.000%
Jul 6, 20260.000%
Jun 29, 20260.000%
Jun 22, 20260.000%
Jun 15, 20260.000%
Jun 8, 20260.000%
Jun 1, 20260.000%
May 25, 20260.000%
May 18, 20260.000%
May 11, 20260.000%
May 4, 20260.000%
Apr 27, 20260.000%
Apr 20, 20260.000%
Apr 13, 20260.000%
Apr 6, 20260.000%
Mar 30, 20260.000%
Mar 23, 20260.000%
Mar 16, 20260.000%
Mar 9, 20260.038%
Mar 2, 20260.000%
Feb 23, 20260.000%
Feb 16, 20260.000%
Feb 9, 20260.000%
Feb 2, 20260.000%
Jan 26, 20260.000%
Jan 19, 20260.000%
Jan 12, 20260.000%
Jan 5, 20260.000%
Dec 29, 20250.000%
Dec 22, 20250.000%
Dec 15, 20250.000%
Dec 8, 20250.000%
Dec 1, 20250.000%
Nov 24, 20250.000%
Nov 17, 20250.000%
Nov 10, 20250.000%
Nov 3, 20250.000%
Oct 27, 20250.025%

Debuted in the week of Oct 27, 2025 and peaked at 0.04% 19 weeks later. No volume was recorded in the latest full week.

What this model is used for new

Tasks where the model ranks among the leaders, and its share of each

This model is not among the leaders in any of the 29 tasks classified in the Sep 10, 2026 snapshot. That does not mean it goes unused: the source lists only the largest models in each task.

Snapshot of the rolling 7-day window through Sep 10, 2026. Share: the model's tokens in the task over the task's total tokens. Weight: the task's share of classified volume.

Where to run it

Endpoints in the source's catalog, from cheapest to most expensive on input

No endpoints listed for this model in the archived catalog.

Benchmarks

Artificial Analysis indexes and benchmarks run by the source, with cost per task

Intelligence
no index
not published
Coding
no index
not published
Agents
no index
not published

GPQA Diamond 63.9%

$0.0014 per task, 4902 tasks. 104th of 131 evaluated. Median of evaluated models: 80.2%, $0.024 per task.

τ-bench verified, airline 37.5%

$0.016 per task, 1450 tasks. 114th of 122 evaluated. Median of evaluated models: 70.7%, $0.056 per task.

Artificial Analysis indexes, exposed by the catalog; benchmarks run by the source and archived on Sep 11, 2026. The gray mark is the median of evaluated models.

Against the week's largest models

The five largest proprietary and five largest open-weights models over the last 7 days

ModelLab7-day shareBlended priceContextIntelligenceWeeks in top 10
Proprietary
GPT-5.6 LunaOpenAIOpenAI11.5%$0.451M37.56
Gemini 3.8 FlashGoogleGoogle2.1%$1.501M41.20
Muse Spark 1.3 ContributorMetaMeta1.5%$0.1251M0
Claude Opus 5AnthropicAnthropic1.4%$10.001M50.71
GPT-5.6 SolOpenAIOpenAI1.4%$4.001M47.10
Open weights
Hy4 previewTencentTencent15.5%$1.251M1
DeepSeek V4 Flash 0731DeepSeekDeepSeek10.0%$0.0941.31M34.55
GLM 5.3 FlashZ.ai (GLM)Z.ai (GLM)10.0%$0.2371.31M41.92
MiMo-V2.5XiaomiXiaomi4.2%$0.1751M22.315
DeepSeek V4 Flash 0423DeepSeekDeepSeek3.9%$0.1111M24.819
Qwen3 30B A3B Instruct 2507this pageQwenQwen$0.142256k0

Share over the last 7 days (Sep 4, 2026 to Sep 10, 2026). Blended price in US dollars per million tokens, weighted 75% input and 25% output. A dash means the number is not published, not zero.

What this page doesn't say. Share here is a slice of one router's traffic, where the deciding factor is usually price per token. It is not market, revenue or user share, and it does not tell you which model fits your workload.