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MiniMax M3

CurrentReleased Jun 1, 2026Open WeightNon-Reasoning1M context

Released Jun 1, 2026 see all recent releases

Decision reading
MiniMax M3 scores 68.7 out of 100 and ranks #21 of 228. This profile shows 22 source-displayable benchmark rows; its strongest eligible category is Multimodal & Grounded at #27. API pricing is $0.3 input and $1.2 output per million tokens, with cached input at $0.06.

Data as of August 30, 2026 · How the score is built

Strongest published evidence

Multimodal & Grounded ranks #27. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.

Validate before choosing

22 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #111.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

68.7/100

field median 58.8

#21 of 228 ranked models

Price

$0.30input / $1.20 output

input median $1

cached $0.060 · blended $0.75

Speed

108tok/s

field median 86 tok/s

First token 19.57 s

Context

1Mtokens

field median 256,000

Reported for this model; direct source link not stored

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

MiniMax M3 category percentile values

  • Agentic21st percentile
  • Coding34th percentile
  • ReasoningNot eligible
  • KnowledgeNot eligible
  • MathNot eligible
  • MultilingualNot eligible
  • Multimodal24th percentile
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#111/140
  2. Coding#97/146
  3. ReasoningNot ranked
  4. KnowledgeNot ranked
  5. MathNot ranked
  6. MultilingualNot ranked
  7. Multimodal#27/35
  8. Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Explore all models

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

Current modelMiniMax M3 · 68.7 score · $0.75 blended per million tokens
405060708090$0.50$1$5$10$25$50$100↘ frontierMiniMax M3

Horizontal: blended price per million tokens, log scale · Vertical: public score

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic8/8 verified
  2. Coding8/8 verified
  3. ReasoningNot measured
  4. KnowledgeNot measured
  5. Math1/1 verified
  6. MultilingualNot measured
  7. Multimodal5/5 verified
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
1M
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.060 per million cached input tokens
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #111 of 140Percentile 21stWeight 22%8 benchmarksVerified40.0
CodingRank #97 of 146Percentile 34thWeight 20%8 benchmarksVerified47.4
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathRank Not rankedWeight 5%1 benchmarkVerified85.7
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank #27 of 35Percentile 24thWeight 12%5 benchmarksVerified42.2
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding8 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore80.5%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap15.5 behindWeightWeighted 16%
Provider exact
SWE-bench ProScore59%Versus best verified row

Best verified: Claude Mythos 5 · 80.3%

Gap21.3 behindWeightWeighted 10%
Provider exact
Terminal-Bench 2.0Score66.0%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap25.9 behindWeightDisplay only
Provider exact
NL2RepoScore42.1%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 61.5%

Gap19.4 behindWeightDisplay only
Provider exact
VIBE V2Score50.1%Versus best verified row

Best verified: MiniMax M3 · 50.1%

GapBest verifiedWeightDisplay only
SVG-BenchScore63.7%Versus best verified row

Best verified: MiniMax M3 · 63.7%

GapBest verifiedWeightDisplay only
KernelBench HardScore28.8%Versus best verified row

Best verified: MiniMax M3 · 28.8%

GapBest verifiedWeightDisplay only
OpenHarmony BenchOpenHarmony Bench v1.0Score48.4%Versus best verified row

Best verified: Qwen3.8 Max · 60.8%

Gap12.4 behindWeightDisplay only
Agentic8 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score66%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap25.9 behindWeightWeighted 38%
Provider exact
OSWorld-VerifiedScore70.1%Versus best verified row

Best verified: Qwen3.8 Max · 86.1%

Gap16 behindWeightWeighted 34%
Provider exact
BrowseCompScore83.5%Versus best verified row

Best verified: GPT-5.6 Sol · 92.2%

Gap8.7 behindWeightWeighted 28%
Provider exact
MCP AtlasScore74.2%Versus best verified row

Best verified: Muse Spark 1.1 · 88.1%

Gap13.9 behindWeightDisplay only
Provider exact
Claw-EvalScore74.5%Versus best verified row

Best verified: Ornith-1.5-397B · 81.4%

Gap6.9 behindWeightDisplay only
Provider exact
BankerToolBenchScore76.1%Versus best verified row

Best verified: Hy4 preview · 78.6%

Gap2.5 behindWeightDisplay only
ResearchClawBenchScore19.8%Versus best verified row

Best verified: Claude Opus 4.8 · 21.1%

Gap1.3 behindWeightDisplay only
OSWorld 2.0Score4.6%Versus best verified row

Best verified: Claude Opus 5 · 70.6%

Gap66 behindWeightDisplay only
Benchmark exact
Math1 row
Math benchmark values, best verified comparison, weight, and source status
USAMO 2026United States of America Mathematical Olympiad 2026Score85.7%Versus best verified row

Best verified: Claude Mythos 5 · 97.6%

Gap11.9 behindWeightWeighted 10%
Provider exact
Multimodal5 rows
Multimodal benchmark values, best verified comparison, weight, and source status
MMMU-ProMassive Multi-discipline Multimodal Understanding ProScore78.1%Versus best verified row

Best verified: GPT-5.4 Pro · 94%

Gap15.9 behindWeightWeighted 45%
Provider exact
OfficeQA ProScore45.1%Versus best verified row

Best verified: Claude Opus 5 · 66.9%

Gap21.8 behindWeightWeighted 30%
Provider exact
OmniDocBench 1.5Score91.6%Versus best verified row

Best verified: Qwen3.8 Max · 92.1%

Gap0.5 behindWeightDisplay only
Provider exact
VideoMMMUScore84.6%Versus best verified row

Best verified: Qwen3.8 Max · 88.7%

Gap4.1 behindWeightDisplay only
Provider exact
Video-MME (with subtitle)Video-MME with subtitleScore85.4%Versus best verified row

Best verified: Qwen3.8 Max · 90.4%

Gap5 behindWeightDisplay only
Provider exact

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Oct 1, 2025

    MiniMax M2.5

    Score 58.9 · $0.3 / $1.2

  2. Mar 18, 2026

    MiniMax M2.7

    Score 63.3 · $0.3 / $1.2

  3. Jun 1, 2026 · you are here

    MiniMax M3

    Score 68.7 · $0.3 / $1.2

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

MiniMax M3 ranks #21 of 228 on the public leaderboard with a score of 68.73/100. Its source-verified position is #17 of 105.

MiniMax M3 is a open weight model with a 1M context window. No explicit reasoning mode is documented in this profile.

Official exact-value snapshot from MiniMax's M3 model card, June 1 launch page, OpenRouter route page, and MSA technical report. BenchLM maps comparable rows directly and stores MiniMax's M3 comparison-chart rows such as VIBE V2, SVG-Bench, KernelBench Hard, GDPval rubrics, and BankerToolBench as display-only provider scores. The model card documents 1M context, 427B total parameters, about 23B activated parameters, and both thinking and non-thinking modes.

Its explicit predecessor is MiniMax M2.7. 22 of 408 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Multimodal & Grounded at #27, while its lowest eligible position is Agentic at #111. particularly strong for screenshots, documents, charts, and grounded multimodal workflows.

Radar

MiniMax M3 release history

Full release history

Radar confirmed these at the source. Start the free Radar Brief

Frequently asked questions

How does MiniMax M3 perform overall in AI benchmarks?

MiniMax M3 ranks #21 out of 228 models on the public BenchAlign leaderboard, with a score of 68.73/100. Its evidence status is Supported, and this profile shows 22 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is MiniMax M3 good for coding and programming?

MiniMax M3 ranks #97 out of 146 eligible models for coding and programming, with a public category score of 47.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is MiniMax M3 good for mathematics?

MiniMax M3 has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is MiniMax M3 good for agentic tool use and computer tasks?

MiniMax M3 ranks #111 out of 140 eligible models for agentic tool use and computer tasks, with a public category score of 40/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is MiniMax M3 good for multimodal and grounded tasks?

MiniMax M3 ranks #27 out of 35 eligible models for multimodal and grounded tasks, with a public category score of 42.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is MiniMax M3 open source?

MiniMax M3 is an open-weight model from MiniMax. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Does MiniMax M3 have full benchmark coverage on BenchLM?

No. MiniMax M3 currently has 47 source-displayable rows across 408 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of MiniMax M3?

MiniMax M3 has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Compare MiniMax M3 with every tracked model399 comparisons

Last updated August 30, 2026. Runtime fields remain blank until a sourced snapshot exists.

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