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Model Season every model has a season

MiniMax M3

minimax/minimax-m3-20260531
MiniMaxChinaOpen weights

The 7th most-used model on the router over the last 7 days, with 3.2% of tokens. Weekly share peaked at 9.7% in the week of Jun 8, 2026, with 46T tokens processed since Jun 1, 2026.

Launch
May 31, 2026
Context
1M tokens
Modality
text, image and video → text
Reasoning
yes
License
Open weights
Input
$0.30 / 1M
Output
$1.20 / 1M
Share, last 7 days
3.2%
7th of 61 · Sep 4, 2026 to Sep 10, 2026
Peak weekly share
9.7%
week of Jun 8, 2026
Cumulative tokens
46T
since the week of Jun 1, 2026
Weeks in the top 10
11
of 14 weeks with volume

Weekly token share

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

0%2%4%6%8%10%12%Jun 8Jun 22Jul 6Jul 20Aug 3Aug 17Aug 31peak 9.7% on Jun 8, 2026
See the numbers
WeekShare
Aug 31, 20265.597%
Aug 24, 20263.617%
Aug 17, 20261.822%
Aug 10, 20262.034%
Aug 3, 20262.467%
Jul 27, 20263.447%
Jul 20, 20263.529%
Jul 13, 20266.076%
Jul 6, 20268.094%
Jun 29, 20268.802%
Jun 22, 20268.014%
Jun 15, 20268.084%
Jun 8, 20269.692%
Jun 1, 20266.917%

Debuted in the week of Jun 1, 2026 and peaked at 9.7% 1 week later. The latest full week came in at 5.6%, 58% 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 6 of the 29 classified tasks. Its largest share is in security audit, 5.7% of the task's tokens; in the heaviest task where it appears, debugging (7.3% of classified volume), it holds 3.4%.

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
CoreWeave$0.23$0.96256kfp4yes
GMICloud$0.24$0.961Mfp8no
DeepInfra$0.28$1.10512kfp8yes
StreamLake$0.30$1.201Mfp8no
Venice$0.30$1.20512kfp8yes
Together$0.30$1.20512knot reportedyes
Parasail$0.30$1.201Mfp8yes
AtlasCloud$0.30$1.20512kfp8no
Novita$0.30$1.201Mfp8yes
Minimax$0.30$1.20512kfp8no
SambaNova$0.60$2.401Mnot reportedyes
ModelRun$0.75$3.001Mfp4yes

12 endpoints across 12 providers, with input from $0.23 to $0.75 per 1M tokens. 8 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
29.6
32nd of 82
Coding
58.6
38th of 111
Agents
30.8
27th of 86

GPQA Diamond 90.5%

$0.03 per task, 2172 tasks. 13th of 131 evaluated. Median of evaluated models: 80.2%, $0.024 per task.

τ-bench verified, airline 70.9%

$0.023 per task, 596 tasks. 59th 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
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
MiniMax M3this pageMiniMaxMiniMax3.2%$0.5251M29.611

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.