MiniMax M3

MiniMaxKey minimax-m3Also reported as minimaxai/minimax-m3, minimax/minimax-m3, mnm/minimax-m3, dynamic/minimax-m3, minimax-cn-coding-plan/minimax-m3, min/minimax-m3, tr/minimax-m3, cmc/minimaxai/minimax-m3, custom/minimax-m3, cline-pass/minimax-m3, tokenrouter/minimax-m3, ollama/minimax-m3, fta/mmx/minimax-m3, 9router/minimax/minimax-m3, vy/minimax-m3, kimchi/minimax-m3, combo/minimax-m3, synthetic/hf:minimaxai/minimax-m3, fireworks/minimax-m3, MiniMax/MiniMax-M3

Rank
#56
by active users
Active users
26
Down 15 from 41 active users in the previous 30 days. vs previous 30 days
Adoption
2.7%
of 958 accounts
Tokens
3.4B
cache included
Est. cost
$113
at public list prices
First seen
May 31, 2026
in any submission

Oct 14 – Nov 12, 2026 (UTC)958 accounts100% of tokens from an identified modelData through Nov 12, 2026, 00:47 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for MiniMax M3, Oct 14, 2026 to Nov 12, 2026. Peak 7. Use the left and right arrow keys to read each day.840
Show daily values
Daily active users and tokens for MiniMax M3
Date (UTC)Active usersTokens
Oct 14, 20266145.4M
Oct 15, 2026717.3M
Oct 16, 2026219.1M
Oct 17, 2026621.3M
Oct 18, 20263192.7M
Oct 19, 20267198.4M
Oct 20, 20263130.6M
Oct 21, 2026322.9M
Oct 22, 2026552.8M
Oct 23, 2026273.6M
Oct 24, 20263104.9M
Oct 25, 20264383.9M
Oct 26, 2026397.5M
Oct 27, 2026216.8M
Oct 28, 2026116.6M
Oct 29, 2026324M
Oct 30, 20263233.3M
Oct 31, 2026219.5M
Nov 1, 2026322.1M
Nov 2, 20263290.1M
Nov 3, 20263376.4M
Nov 4, 2026217.9M
Nov 5, 2026321.2M
Nov 6, 20263322.3M
Nov 7, 20263447.5M
Nov 8, 2026217.9M
Nov 9, 2026218M
Nov 10, 2026226.1M
Nov 11, 2026231.3M
Nov 12, 202600

Token mix

How the 3.4B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input18%
  • Output0.5%
  • Cache read82%
  • Cache write0%
  • Reasoning<0.1%

Agents that carry MiniMax M3

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. OpenClaw33% of this model's tokens4active users
  2. Hermes Agent25% of this model's tokens2active users
  3. MiniMax Code22% of this model's tokens1active users
  4. Claude Code11% of this model's tokens6active users
  5. OpenCode7.7% of this model's tokens3active users
  6. WorkBuddy0.4% of this model's tokens2active users
  7. Senpi (OmO Native)0.1% of this model's tokens2active users
  8. CodeBuddy<0.1% of this model's tokens1active users
  9. Oh My Pi<0.1% of this model's tokens3active users
  10. Codex CLI<0.1% of this model's tokens3active users
  11. Pi<0.1% of this model's tokens5active users
  12. Command Code<0.1% of this model's tokens1active users
  13. cc-mirror/python-urllib<0.1% of this model's tokens1active users
  14. cc-mirror/curl<0.1% of this model's tokens1active users
  15. cc-mirror/mozilla<0.1% of this model's tokens1active users

Benchmarks

The best result for MiniMax M3 in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    146.9
    Rank #72 of 160 matched modelsNo conditions reportedModel released Jun 1, 2026Source: epoch.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,482
    Rank #56 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    −0.09
    Rank #46 of 48 matched modelsArena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    90.9%
    Rank #32 of 151 matched modelsNo conditions reportedRun date Aug 10, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.4%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

    Show 1 more result with other run conditionsHide the other results
    • Listed as MiniMax-M3_none
      81.3%
      No reasoningRun date Aug 10, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, FrontierMath Tiers 1–3 (v2), SimpleQA Verified, Terminal-Bench 4.0, CursorBench, DeepSWE, FrontierSWE. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Oct 21, 2026. MiniMax (minimax.io) is the lab's own API and the reference price for the estimates below.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.11
Est. per 1M tokens
82% cache reads
At the community mix
$0.07
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$0.52
Per 1M tokens at list prices
No cache

Cache reads were 82% of MiniMax M3 tokens in the last 30 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • MiniMax (minimax.io) list prices per 1M tokens: input $0.30, output $1.20, cache read $0.06.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
  • The community mix is the tokens of every identified model in the last 30 days.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • MiniMax (minimax.io)ReferenceMiniMax-M3
    $0.30 input per 1M tokens$1.20 output per 1M tokens$0.06 cache read per 1M tokensCache write not listed1M tokens of context
  • OpenRouterminimax/minimax-m3
    $0.30 input per 1M tokens$1.20 output per 1M tokens$0.06 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vercel AI Gatewayminimax/minimax-m3
    $0.30 input per 1M tokens$1.20 output per 1M tokens$0.06 cache read per 1M tokensCache write not listed512K tokens of context
  • Fireworks AIaccounts/fireworks/routers/minimax-latest
    $0.30 input per 1M tokens$1.20 output per 1M tokens$0.06 cache read per 1M tokensCache write not listed512K tokens of context
  • Deep InfraMiniMaxAI/MiniMax-M3
    $0.28 input per 1M tokens$1.10 output per 1M tokens$0.06 cache read per 1M tokensCache write not listed524K tokens of context

Specs

From models.dev (MIT), retrieved Oct 21, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
1M tokens
Max output
524K tokens
Input
Text, Image, Video
Output
Text
Knowledge cutoff
— not listed
Release date
Jun 1, 2026
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used MiniMax M3 most in this period, by tokens. Hidden accounts are never listed.

  1. 1sigco3111@sigco3111847.3Mtokens$2est. cost5active days$2 est. cost · 5 active days
  2. 2jhzhang09@jhzhang09751.4Mtokens$1est. cost4active days$1 est. cost · 4 active days
  3. 3Dorian@Denszh495.8Mtokens—est. cost29active daysno price · 29 active days
  4. 4Tushar@iota31402.8Mtokens$41est. cost4active days$41 est. cost · 4 active days
  5. 5Prakersh Maheshwari@prakersh344.2Mtokens$24est. cost8active days$24 est. cost · 8 active days
  6. 6Pandu Yudhistira Wicaksono@theyudhiztira252.3Mtokens$16est. cost2active days$16 est. cost · 2 active days
  7. 7Zach Lagden@zachlagden224.5Mtokens$21est. cost4active days$21 est. cost · 4 active days
  8. 8ZhangXiao@XiaoZ-021813.2Mtokens$4est. cost3active days$4 est. cost · 3 active days
  9. 9Fullstop000@Fullstop0008Mtokens<$1est. cost1active days<$1 est. cost · 1 active days
  10. 10midego@midego14.9Mtokens<$1est. cost1active days<$1 est. cost · 1 active days

More from MiniMax

Other MiniMax models in the same period, by active users.

  1. MiniMax M3.1 Flash Free5.8% adoption56active users
  2. MiniMax M3.1 Flash4.0% adoption38active users
  3. MiniMax M3.1 Flash Preview1.3% adoption12active users
  4. MiniMax M2.70.6% adoption6active users
  5. MiniMax M2.50.3% adoption3active users
  6. MiniMax M2.7 Highspeed0.1% adoption1active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 15, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • LMArenaWebDev Arena and Agent Arena leaderboards.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 19, 2026LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), Hugging Face.
  • models.devSpecs and list prices per provider.MIT · Retrieved Oct 21, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count