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Model Season every model has a seasonRadarLabs

gpt-5.3-chat

openai/gpt-5.3-chat-20260303
OpenAIUS/CanadaProprietaryno catalog entry

No volume over the last 7 days. Weekly share peaked at 0.03% in the week of Mar 9, 2026, with 0.01T tokens processed since Mar 9, 2026.

Launch
not reported
Context
not reported
Modality
not reported
Reasoning
not reported
License
Proprietary
Input
not reported
Output
not reported
Share, last 7 days
—
no volume over the last 7 days
Peak weekly share
0.03%
week of Mar 9, 2026
Cumulative tokens
0.01T
since the week of Mar 9, 2026
Weeks in the top 10
0
of 1 week 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%Apr '26MayJunJulAugSepOctpeak 0.03% on Mar 9, 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, 20260.000%
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, 20260.030%

Debuted in the week of Mar 9, 2026 and peaked at 0.03% in its first week. 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 in the archived catalog: the model has left the source's catalog or never had an entry in it.

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 80.5%

$0.024 per task, 198 tasks. 103rd of 169 evaluated. Median of evaluated models: 83.4%, $0.025 per task.

τ-bench verified, airline 46.0%

$0.099 per task, 50 tasks. 129th 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
gpt-5.3-chatthis pageOpenAIOpenAI————0
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.