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Claude Sonnet 5

anthropic/claude-sonnet-5-20260630
AnthropicUS/CanadaProprietary

The 39th most-used model on the router over the last 7 days, with 0.31% of tokens. Weekly share peaked at 1.8% in the week of Jul 20, 2026, with 18T tokens processed since Jun 29, 2026.

Launch
Jun 30, 2026
Context
1M tokens
Modality
text, image and file → text
Reasoning
yes
License
Proprietary
Input
$2.00 / 1M
Output
$10.00 / 1M
Share, last 7 days
0.31%
39th of 63 · Oct 19, 2026 to Oct 25, 2026
Peak weekly share
1.8%
week of Jul 20, 2026
Cumulative tokens
18T
since the week of Jun 29, 2026
Weeks in the top 10
1
of 17 weeks with volume

Weekly token share

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

0%1%1%2%2%3%Jul '26AugSepOctpeak 1.8% on Jul 20, 2026
See the numbers
WeekShare
Oct 19, 20260.306%
Oct 12, 20260.346%
Oct 5, 20260.460%
Sep 28, 20260.619%
Sep 21, 20261.001%
Sep 14, 20261.183%
Sep 7, 20261.086%
Aug 31, 20261.154%
Aug 24, 20261.065%
Aug 17, 20261.160%
Aug 10, 20261.437%
Aug 3, 20261.518%
Jul 27, 20261.781%
Jul 20, 20261.794%
Jul 13, 20261.710%
Jul 6, 20261.755%
Jun 29, 20261.152%

Debuted in the week of Jun 29, 2026 and peaked at 1.8% 3 weeks later. The latest full week came in at 0.31%, 17% of peak.

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 24, 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 24, 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$2.00$10.001Mnot reportedno
Azure$2.00$10.001Mnot reportedno
Google$2.00$10.001Mnot reportedyes
Amazon Bedrock$2.00$10.001Mnot reportedyes
Anthropic$2.00$10.001Mnot reportedno
Amazon Bedrock$2.20$11.001Mnot reportedyes
Azure$2.20$11.001Mnot reportedno
Google$2.20$11.001Mnot reportedyes
Google$2.20$11.001Mnot reportedyes
Amazon Bedrock$2.20$11.001Mnot reportedyes

10 endpoints across 5 providers, with input from $2.00 to $2.20 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
38.2
36th of 199
Coding
71.5
19th of 109
Agents
43.6
15th of 85

GPQA Diamond 84.7%

$0.17 per task, 2571 tasks. 79th of 169 evaluated. Median of evaluated models: 83.4%, $0.025 per task.

τ-bench verified, airline 75.6%

$0.2 per task, 600 tasks. 27th 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 25, 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
Claude Sonnet 5this pageAnthropicAnthropic0.31%$4.001M38.21
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.