Skip to content
Model Season every model has a seasonRadarLabs

Gemini 3.6 Flash

google/gemini-3.6-flash-20260721
GoogleUS/CanadaProprietary

No volume over the last 7 days. Weekly share peaked at 3.4% in the week of Aug 3, 2026, with 6.7T tokens processed since Jul 20, 2026.

Launch
Jul 21, 2026
Context
1M tokens
Modality
text, image, file, audio and video → text
Reasoning
yes
License
Proprietary
Input
$0.75 / 1M
Output
$3.75 / 1M
Share, last 7 days
—
no volume over the last 7 days
Peak weekly share
3.4%
week of Aug 3, 2026
Cumulative tokens
6.7T
since the week of Jul 20, 2026
Weeks in the top 10
2
of 7 weeks with volume

Weekly token share

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

0%1%2%3%4%Jul 27Aug 10Aug 24Sep 7Sep 21Oct 5Oct 19peak 3.4% on Aug 3, 2026
See the numbers
WeekShare
Oct 19, 20260.000%
Oct 12, 20260.000%
Oct 5, 20260.000%
Sep 28, 20260.000%
Sep 21, 20260.000%
Sep 14, 20260.000%
Sep 7, 20260.000%
Aug 31, 20260.060%
Aug 24, 20260.332%
Aug 17, 20261.088%
Aug 10, 20263.032%
Aug 3, 20263.373%
Jul 27, 20260.751%
Jul 20, 20260.397%

Debuted in the week of Jul 20, 2026 and peaked at 3.4% 2 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 Oct 25, 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 Oct 25, 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
34.0
43rd of 199
Coding
69.2
25th of 109
Agents
29.0
29th of 85

GPQA Diamond 92.7%

$0.06 per task, 594 tasks. 17th of 169 evaluated. Median of evaluated models: 83.4%, $0.025 per task.

τ-bench verified, airline 74.7%

$0.21 per task, 150 tasks. 41st of 150 evaluated. Median of evaluated models: 71.2%, $0.064 per task.

Artificial Analysis indexes, exposed by the catalog; benchmarks run by the source and archived on Oct 26, 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-6 LunaOpenAIOpenAI4.4%$0.201M38.15
Claude Opus 5.5AnthropicAnthropic4.4%$8.001M57.63
jev-1.13TypesafeTypesafe1.6%———0
GPT-6.1 SolOpenAIOpenAI1.5%$4.001M51.80
Muse Spark 1.3 ContributorMetaMeta1.5%$0.1251M—0
Gemini 3.6 Flashthis pageGoogleGoogle—$1.501M34.02
Open weights
DeepSeek V4.1 Flash 1017DeepSeekDeepSeek17.9%$0.2631M39.51
DeepSeek V4.1 FlashDeepSeekDeepSeek9.6%$0.2651M24.77
MiniMax M3.1 FlashMiniMaxMiniMax7.7%$0.2631M42.71
GLM 5.3 FlashZ.ai (GLM)Z.ai (GLM)7.0%$0.2371M41.89
Hy4 previewTencentTencent4.8%$1.251M—8

Share over the last 7 days (Oct 19, 2026 to Oct 25, 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.