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MiniMax M3

MiniMax-M3 is a frontier-class foundation model that unites the three capabilities defining today's frontier: a 1M-token context window, frontier coding and agentic performance, and native multimodality — the first open-weight model to deliver all three in a single system.

text + image + file → text · made by MiniMax

$0.3→$1.2per Mtok in / out
MiniMax · 18 sellers

Sold by 39 ways

SellerLaneRate
MiniMax apistandard$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedplatform.minimax.io · read 2026-08-25
MiniMax apipriority$0.45per Mtok in$1.8per Mtok out$0.09per Mtok cachedplatform.minimax.io · read 2026-08-25
MiniMax apilong-context$0.6per Mtok in$2.4per Mtok out$0.12per Mtok cachedplatform.minimax.io · read 2026-08-25
MiniMax apipriority long-context$0.9per Mtok in$3.6per Mtok out$0.18per Mtok cachedplatform.minimax.io · read 2026-08-25
OpenRouter 7 ways$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cached
OpenRouter aggregatordeepinfra/fp8/flex$0.22per Mtok in$0.88per Mtok out$0.045per Mtok cachedopenrouter.ai · read 2026-10-16
OpenRouter aggregatorcoreweave/fp4$0.23per Mtok in$0.96per Mtok out$0.05per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgmicloud/fp8$0.24per Mtok in$0.96per Mtok out$0.048per Mtok cachedopenrouter.ai · read 2026-09-10
OpenRouter aggregatornot on the seller's list todaymorph/fp4$0.26per Mtok in$1.02per Mtok outopenrouter.ai · read 2026-08-25
OpenRouter aggregatordeepinfra/fp8$0.28per Mtok in$1.1per Mtok out$0.056per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorstandard$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatormodelrun/fp8$0.3per Mtok in$1.3per Mtok out$0.05per Mtok cachedopenrouter.ai · read 2026-10-14
OpenRouter aggregatormara$0.6per Mtok in$2.4per Mtok outopenrouter.ai · read 2026-09-15
OpenRouter aggregatornot on the seller's list todaysambanova$0.6per Mtok in$2.4per Mtok out$0.06per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatornot on the seller's list todaymodelrun/fp4$0.75per Mtok in$3per Mtok out$0.15per Mtok cachedopenrouter.ai · read 2026-08-25
Avian aggregatorstandard$0.26per Mtok in$1.02per Mtok out$0.051per Mtok cachedapi.avian.io · read 2026-10-31
DeepInfra aggregatorstandard$0.28per Mtok in$1.1per Mtok out$0.056per Mtok cachedapi.deepinfra.com · read 2026-08-25
Hugging Face Inference Providers 3 ways$0.3per Mtok in$1.2per Mtok out
Hugging Face Inference Providers aggregatordeepinfra$0.28per Mtok in$1.1per Mtok outrouter.huggingface.co · read 2026-08-25
Hugging Face Inference Providers aggregatorstandard$0.3per Mtok in$1.2per Mtok outmodels.dev · read 2026-10-31
Hugging Face Inference Providers aggregatornot on the seller's list todayfireworks-ai$0.3per Mtok in$1.2per Mtok outrouter.huggingface.co · read 2026-08-25
Hugging Face Inference Providers aggregatornovita$0.3per Mtok in$1.2per Mtok outrouter.huggingface.co · read 2026-08-25
Hugging Face Inference Providers aggregatornot on the seller's list todaytogether$0.3per Mtok in$1.2per Mtok outrouter.huggingface.co · read 2026-08-25
AtlasCloud aggregatorstandard$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedapi.atlascloud.ai · read 2026-09-20
ElectronHub aggregatorstandard$0.3per Mtok in$1.2per Mtok outapi.electronhub.ai · read 2026-10-31
Fireworks AI 2 ways$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cached
Fireworks AI aggregatorstandard$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedmodels.dev · read 2026-10-31
Fireworks AI aggregatorpriority$0.45per Mtok in$1.8per Mtok out$0.09per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Nebius Token Factory aggregatorstandard$0.3per Mtok in$1.2per Mtok outtokenfactory.nebius.com · read 2026-08-25
Nous Research aggregatorstandard$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedinference-api.nousresearch.com · read 2026-10-29
Nous Research aggregatornot on the seller's list todaybatch$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
Novita AI aggregatorstandard$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedapi.novita.ai · read 2026-08-25
Requesty 4 ways$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cached
Requesty aggregatorfireworks$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedrouter.requesty.ai · read 2026-08-28
Requesty aggregatorminimaxi$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedrouter.requesty.ai · read 2026-08-28
Requesty aggregatortencent$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedrouter.requesty.ai · read 2026-09-30
Requesty aggregatortensorx$0.4per Mtok in$2per Mtok out$0.1per Mtok cachedrouter.requesty.ai · read 2026-08-28
SiliconFlow aggregatorstandard$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedmodels.dev · read 2026-10-31
Together AI aggregatorstandard$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedmodels.dev · read 2026-10-31
Vercel AI Gateway aggregatorstandard$0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedai-gateway.vercel.sh · read 2026-08-25
Featherless AI aggregatorstandard$0.55per Mtok in$2.2per Mtok outapi.featherless.ai · read 2026-09-20
SambaNova Cloud aggregatorstandard$0.6per Mtok in$2.4per Mtok out$0.06per Mtok cachedmodels.dev · read 2026-10-31
PPIO aggregatorstandard$4.2per Mtok in$16.8per Mtok outapi.ppinfra.com · read 2026-10-31

Measured 41 standings

PlaceBoardMetricScore
10thof 34Design Arena · pdf (agents)Elo1272
11thof 17SWE-rebench Leaderboard (default window 15/05/2026–01/07/2026, 111 problems)Resolved Rate (%)47.2
14thof 16Osworld 2 — Epoch AIBinary accuracy0.046
16thof 23Gbaeval — Epoch AIOverall score0.009
16thof 29Surface evolver bench — Epoch AIMean score0.55
20thof 36Design Arena · htmlslides (agents)Elo1076
23rdof 41Design Arena · python-pptxslides (agents)Elo1161
25thof 39Design Arena · blender3d (agents)Elo1072
27thof 61Design Arena · fullstack (agents)Elo1197
30thof 39Design Arena · agenticgamedev (agents)Elo1116
31stof 54Design Arena · androidnative (agents)Elo1160
31stof 92Forecastbench — Epoch AIOverall score64.3
33rdof 41Design Arena · spreadsheet (agents)Elo1069
34thof 68Design Arena · webapps (agents)Elo1191
38thof 326GPQA Diamondmean_score90.909
41stof 68Design Arena · mobileapps (agents)Elo1171
41stof 46Frontiercode — Epoch AIMain score0.147
44thof 131Artificial Analysis · Agentic IndexIndex29.5
49thof 60Apex agents — Epoch AIPass@1 score0.377
53rdof 71Vending bench 2 — Epoch AIScore2157.772
55thof 84Proofbench — Epoch AIAccuracy18
58thof 93Design Arena · asciiart (models)Elo1158
60thof 169Design Arena · website (models)Elo1256
60thof 135Webdev arena — Epoch AIArena Score1486.7
61stof 163Artificial Analysis · Coding IndexIndex58.6
63rdof 163Design Arena · codecategories (models)Elo1245
64thof 102Simplebench — Epoch AIScore (AVG@5)0.458
65thof 86Artificial Analysis · Intelligence IndexArtificial Analysis Intelligence Index19
65thof 157Design Arena · uicomponent (models)Elo1241
66thof 150Design Arena · 3d (models)Elo1206
67thof 154Design Arena · dataviz (models)Elo1234
67thof 114Design Arena · svg (models)Elo1158
72ndof 162Design Arena · gamedev (models)Elo1210
98thof 132Ale bench — Epoch AIPerformance640.02
119thof 154Chess puzzles — Epoch AImean_score13
122ndof 142Mystery game puzzles — Epoch AImean_score (none)8
132ndof 197Lmca — Epoch AIScore33.7
140thof 235Dtbench — Epoch AIAccuracy78.93
140thof 235Scicode — Epoch AIScore47.106
142ndof 306OTIS Mock AIME 2024-2025mean_score71.111
146thof 260Critpt — Epoch AIAccuracy3.714

About

MiniMax M3 — a text model from MiniMax, sold by 18 companies from $0.26 in and $1.02 out per million tokens, placed 38th of 326 on GPQA Diamond.

It takes text, images and files and returns text, with a context window of 2,048 tokens. It was published in May 2026, trained on material up to January 2025. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Eighteen companies sell it. The cheapest is $0.26 in and $1.02 out per million tokens at Avian. Beside the standard rate there are faster, separately routed, regional and flex lanes. It has been measured on 41 boards, and stands best at 38th of 326 on GPQA Diamond.

Every current figure

Maker
MiniMax
Register
model
Takes
text + image + file
Returns
text
Context
2,048 tokens
Published
May 2026
Knowledge to
January 2025
Parameters
427 billion
Licence
not read
Sellers
18
Price
$0.26 in and $1.02 out per million tokens — Avian
Boards
41
Best place
38th of 326 — GPQA Diamond

Known as 11 names

minimaxai/minimax-m3Humair6743/M3Qadoos7483/M3fireworks/minimax-m3MiniMax-M3minimax/minimax-m3minimax/minimax-m3:batchminimaxi/minimax-m3tencent/minimax-m3tensorx/minimax-m3MiniMax: MiniMax M3 (batch)