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Model Season every model has a season

Claude Sonnet 4.5

anthropic/claude-4.5-sonnet-20250929
AnthropicUS/CanadaProprietary

No volume over the last 7 days. Weekly share peaked at 11.9% in the week of Oct 27, 2025, with 15T tokens processed since Sep 29, 2025.

Launch
Sep 29, 2025
Context
1M tokens
Modality
text, image and file → text
Reasoning
yes
License
Proprietary
Input
$3.00 / 1M
Output
$15.00 / 1M
Share, last 7 days
no volume over the last 7 days
Peak weekly share
11.9%
week of Oct 27, 2025
Cumulative tokens
15T
since the week of Sep 29, 2025
Weeks in the top 10
22
of 40 weeks with volume

Weekly token share

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

0%5%10%15%Nov '25Jan '26MarMayJulpeak 11.9% on Oct 27, 2025
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, 20260.100%
Jun 22, 20260.152%
Jun 15, 20260.197%
Jun 8, 20260.239%
Jun 1, 20260.264%
May 25, 20260.366%
May 18, 20260.445%
May 11, 20260.515%
May 4, 20260.478%
Apr 27, 20260.715%
Apr 20, 20261.119%
Apr 13, 20261.235%
Apr 6, 20261.181%
Mar 30, 20261.176%
Mar 23, 20261.507%
Mar 16, 20261.700%
Mar 9, 20262.406%
Mar 2, 20263.379%
Feb 23, 20263.886%
Feb 16, 20263.829%
Feb 9, 20264.812%
Feb 2, 20267.196%
Jan 26, 20269.389%
Jan 19, 20269.516%
Jan 12, 20268.048%
Jan 5, 20268.265%
Dec 29, 20256.316%
Dec 22, 20256.368%
Dec 15, 20257.128%
Dec 8, 20257.462%
Dec 1, 20256.940%
Nov 24, 20255.958%
Nov 17, 20257.928%
Nov 10, 202510.190%
Nov 3, 202511.504%
Oct 27, 202511.861%
Oct 20, 202510.716%
Oct 13, 202510.928%
Oct 6, 20259.599%
Sep 29, 20255.540%

Debuted in the week of Sep 29, 2025 and peaked at 11.9% 4 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
21.2
48th of 82
Coding
52.1
49th of 111
Agents
17.5
47th of 86

GPQA Diamond 82.6%

$0.32 per task, 1188 tasks. 55th of 131 evaluated. Median of evaluated models: 80.2%, $0.024 per task.

τ-bench verified, airline 73.6%

$0.33 per task, 250 tasks. 40th 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
Claude Sonnet 4.5this pageAnthropicAnthropic$6.001M21.222
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

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.