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Model Season every model has a season

Claude Opus 4.8

anthropic/claude-4.8-opus-20260528
AnthropicUS/CanadaProprietary

The 37th most-used model on the router over the last 7 days, with 0.36% of tokens. Weekly share peaked at 4.5% in the week of Jun 29, 2026, with 17T tokens processed since May 25, 2026.

Launch
May 27, 2026
Context
1M tokens
Modality
text, image and file → text
Reasoning
yes
License
Proprietary
Input
$5.00 / 1M
Output
$25.00 / 1M
Share, last 7 days
0.36%
37th of 61 · Sep 4, 2026 to Sep 10, 2026
Peak weekly share
4.5%
week of Jun 29, 2026
Cumulative tokens
17T
since the week of May 25, 2026
Weeks in the top 10
8
of 15 weeks with volume

Weekly token share

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

0%2%4%6%May 25Jun 8Jun 22Jul 6Jul 20Aug 3Aug 17Aug 31peak 4.5% on Jun 29, 2026
See the numbers
WeekShare
Aug 31, 20260.351%
Aug 24, 20260.405%
Aug 17, 20260.428%
Aug 10, 20260.783%
Aug 3, 20260.794%
Jul 27, 20260.982%
Jul 20, 20262.487%
Jul 13, 20263.298%
Jul 6, 20263.861%
Jun 29, 20264.477%
Jun 22, 20264.080%
Jun 15, 20263.628%
Jun 8, 20262.792%
Jun 1, 20263.204%
May 25, 20260.909%

Debuted in the week of May 25, 2026 and peaked at 4.5% 5 weeks later. The latest full week came in at 0.35%, 8% of peak.

What this model is used for new

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

Ranks among the leaders in 1 of the 29 classified tasks. Its largest share is in tool calling, 0.30% of the task's tokens.

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

ProviderInputOutputContextQuantizationZero retention
Claude Platform on AWS$5.00$25.001Mnot reportedno
Azure$5.00$25.001Mnot reportedno
Azure$5.00$25.001Mnot reportedno
Amazon Bedrock$5.00$25.001Mnot reportedyes
Google$5.00$25.001Mnot reportedyes
Anthropic$5.00$25.001Mnot reportedno
Amazon Bedrock$5.50$27.501Mnot reportedyes
Google$5.50$27.501Mnot reportedyes
Amazon Bedrock$5.50$27.501Mnot reportedyes
Google$5.50$27.501Mnot reportedyes
Anthropic$10.00$50.001Mnot reportedno

11 endpoints across 5 providers, with input from $5.00 to $10.00 per 1M tokens. 6 offer zero data retention.

Prices in US dollars per million tokens, from the latest archived endpoint catalog.

Benchmarks

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

Intelligence
42.0
10th of 82
Coding
74.3
13th of 111
Agents
42.6
17th of 86

GPQA Diamond 89.4%

$0.2 per task, 990 tasks. 16th of 131 evaluated. Median of evaluated models: 80.2%, $0.024 per task.

τ-bench verified, airline 76.9%

$0.5 per task, 250 tasks. 13th 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 Opus 4.8this pageAnthropicAnthropic0.36%$10.001M42.08
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.