Skip to content
Model Season every model has a seasonRadarLabs

MiniMax M3

minimax/minimax-m3-20260531
MiniMaxChinaOpen weights

The 25th most-used model on the router over the last 7 days, with 0.74% of tokens. Weekly share peaked at 9.7% in the week of Jun 8, 2026, with 56T 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
0.74%
25th of 63 · Oct 19, 2026 to Oct 25, 2026
Peak weekly share
9.7%
week of Jun 8, 2026
Cumulative tokens
56T
since the week of Jun 1, 2026
Weeks in the top 10
11
of 21 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 '26JulAugSepOctpeak 9.7% on Jun 8, 2026
See the numbers
WeekShare
Oct 19, 20260.744%
Oct 12, 20260.850%
Oct 5, 20260.751%
Sep 28, 20260.716%
Sep 21, 20260.939%
Sep 14, 20261.152%
Sep 7, 20261.613%
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 0.74%, 8% 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 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

ProviderInputOutputContextQuantizationZero retention
DeepInfra$0.224$0.88512kfp8yes
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
ModelRun$0.30$1.301Mfp8yes
Mara$0.60$2.401Mnot reportedyes

13 endpoints across 12 providers, with input from $0.224 to $0.60 per 1M tokens. 9 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
29.2
55th of 199
Coding
58.6
39th of 109
Agents
29.5
28th of 85

GPQA Diamond 90.5%

$0.034 per task, 2571 tasks. 28th of 169 evaluated. Median of evaluated models: 83.4%, $0.025 per task.

τ-bench verified, airline 74.9%

$0.025 per task, 600 tasks. 39th 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
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
MiniMax M3this pageMiniMaxMiniMax0.74%$0.5251M29.211

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.