Holotron-12B vs MiniMax M3

Updated November 11, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Holotron-12B

H Company

—

Evidence status unavailable

90% interval unavailable

Model B

MiniMax M3

MiniMax

49.03/100

Supported · Public rank #103

90% interval 34.0–64.0

API price per 1M tokens

Holotron-12B: No comparable API price

MiniMax M3: $0.30 input / $1.20 output

Context window

Holotron-12B: 128K

MiniMax M3: 1M

Released

Holotron-12B: March 16, 2026

MiniMax M3: June 1, 2026

Shared results: 0
Holotron-12B only: 0
MiniMax M3 only: 28
Like-for-like categories: 0 / 8

Supported: MiniMax M3How the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

Long documents
Prompts that approach the documented context limit
MiniMax M3
MiniMax M3 has the larger documented context window.
Confidence: documented

Show secondary and unsupported calls

Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Holotron-12B is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Holotron-12B is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Holotron-12B does not fit this workload in one request. Holotron-12B has no comparable published API token rate.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

Pick the job you would use them for

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

—Holotron-12B37.7MiniMax M3

Not comparable · BenchAlign v5.8

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

Or describe your own job

The LLM Selector reads what you need a model for and returns a shortlist, ranked in the same order the job pages publish.

What do you need a model for?

Describe the task and constraints. This selector recommends models; it cannot carry out the task or access your files and accounts.

We keep what you type here, drafts included, for 180 days, and after that only the job and requirements read from it. Nothing is tied to your IP address or account. Leave out names and other personal details. Privacy

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, reasoning, multimodal, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Not comparable

Holotron-12B: Not ranked
MiniMax M3: 39.2; Supported · #75/132
Basis: BenchAlign v5.8 lane · 0 vs 10 public rows
Reading: Not comparable

Coding

Not comparable

Holotron-12B: Not ranked
MiniMax M3: 37.7; Supported · #77/158
Basis: BenchAlign v5.8 lane · 0 vs 10 public rows
Reading: Not comparable

Reasoning

Not comparable

Holotron-12B: Not ranked
MiniMax M3: 38.2; Estimated · #91/158
Basis: BenchAlign v5.8 lane · 0 vs 0 public rows
Reading: Not comparable

Multimodal

Not comparable

Holotron-12B: Not ranked
MiniMax M3: 53.3; Estimated · #47/67
Basis: BenchAlign v5.8 lane · 0 vs 5 public rows
Reading: Not comparable

Knowledge

Not comparable

Holotron-12B: Not ranked
MiniMax M3: 54.2; Supported · #63/179
Basis: BenchAlign v5.8 lane · 0 vs 2 public rows
Reading: Not comparable

Multilingual

Not comparable

Holotron-12B: Not ranked
MiniMax M3: Not ranked
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Instruction following

Not comparable

Holotron-12B: Not ranked
MiniMax M3: 93.8; #6/157
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Math

Not comparable

Holotron-12B: Not ranked
MiniMax M3: Not ranked
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Holotron-12B and MiniMax M3
Category	Holotron-12B	MiniMax M3	Basis	Reading
Agentic	Not ranked	39.2Supported · #75/132	Not comparableBenchAlign v5.8 lane · 0 vs 10 public rows	Not comparable
Coding	Not ranked	37.7Supported · #77/158	Not comparableBenchAlign v5.8 lane · 0 vs 10 public rows	Not comparable
Reasoning	Not ranked	38.2Estimated · #91/158	Not comparableBenchAlign v5.8 lane · 0 vs 0 public rows	Not comparable
Multimodal	Not ranked	53.3Estimated · #47/67	Not comparableBenchAlign v5.8 lane · 0 vs 5 public rows	Not comparable
Knowledge	Not ranked	54.2Supported · #63/179	Not comparableBenchAlign v5.8 lane · 0 vs 2 public rows	Not comparable
Multilingual	Not ranked	Not ranked	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Instruction following	Not ranked	93.8#6/157	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Math	Not ranked	Not ranked	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, reasoning, multimodal, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Holotron-12B: API rate not published; Fits in one request
MiniMax M3: $0.0009; Fits in one request

Holotron-12B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Holotron-12B: API rate not published; Fits in one request
MiniMax M3: $0.0186; Fits in one request

Holotron-12B has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Holotron-12B: API rate not published; Does not fit in one request; Cached-input rate unavailable
MiniMax M3: $0.03; Fits in one request

Holotron-12B does not fit this workload in one request. Holotron-12B has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

SpecificationHolotron-12BMiniMax M3

Context window

Maximum documented context; output-token limits may be lower.

Holotron-12B

128K

MiniMax M3

API model ID

Holotron-12B

Not sourced

MiniMax M3

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Holotron-12B

No comparable hosted API rate

MiniMax M3

$0.06 per 1M cached input tokens

Documented inputs

Holotron-12B

Not sourced

MiniMax M3

text, image, video

MiniMax-M3 model card

Documented outputs

Holotron-12B

Not sourced

MiniMax M3

text

MiniMax-M3 model card

Provider availability

Holotron-12B

Not sourced

MiniMax M3

Not sourced

Reasoning profile

Holotron-12B

Non-Reasoning

MiniMax M3

Non-Reasoning

Weight access

Holotron-12B

Open Weight

MiniMax M3

Open Weight

License

Holotron-12B

Open Weight

MiniMax M3

Open Weight

Release date

Holotron-12B

2026-03-16

MiniMax M3

2026-06-01

If you already use one of these models

Deployment change: The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal: The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: MiniMax M3 has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Holotron-12B or MiniMax M3?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Holotron-12B or MiniMax M3?

Holotron-12B is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Holotron-12B or MiniMax M3?

Holotron-12B is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Holotron-12B or MiniMax M3?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Holotron-12B or MiniMax M3?

MiniMax M3 has the larger documented context window: 1M, compared with 128K.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Holotron-12B

API / moNo API price on file

Self-host / mo$298

Break-even—

MiniMax M3

API / mo$1,125

Self-host / mo$13,981

Break-evenNot reached at 70% load

Model the full break-even

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence28 rows

Agentic

Terminal-Bench 2.1
Holotron-12B—
MiniMax M366.0%
Source
Not directly comparable
BrowseComp
Holotron-12B—
MiniMax M383.5%
Source
Not directly comparable
OSWorld-Verified
Holotron-12B—
MiniMax M370.1%
Source
Not directly comparable
MCP Atlas
Holotron-12B—
MiniMax M374.2%
Source
Not directly comparable
Claw-Eval
Holotron-12B—
MiniMax M374.5%
Source
Not directly comparable
BankerToolBench
Holotron-12B—
MiniMax M376.1%
Source
Not directly comparable
ResearchClawBench
Holotron-12B—
MiniMax M319.8%
Source
Not directly comparable
OSWorld 2.0
Holotron-12B—
MiniMax M34.6%
Source
Not directly comparable
Terminal-Bench 2.1 (Vals)
Holotron-12B—
MiniMax M353.6%
Source
Not directly comparable
MazeBench
Holotron-12B—
MiniMax M30%
Source
Not directly comparable

Coding

SWE-bench Verified
Holotron-12B—
MiniMax M380.5%
Source
Not directly comparable
SWE-bench Pro
Holotron-12B—
MiniMax M359%
Source
Not directly comparable
Terminal-Bench 2.1
Holotron-12B—
MiniMax M366.0%
Source
Not directly comparable
NL2Repo
Holotron-12B—
MiniMax M342.1%
Source
Not directly comparable
VIBE V2
Holotron-12B—
MiniMax M350.1%
Source
Not directly comparable
SVG-Bench
Holotron-12B—
MiniMax M363.7%
Source
Not directly comparable
KernelBench Hard
Holotron-12B—
MiniMax M328.8%
Source
Not directly comparable
OpenHarmony Bench
Holotron-12B—
MiniMax M348.4%
Source
Not directly comparable
LiveCodeBench (Vals)
Holotron-12B—
MiniMax M382.2%
Source
Not directly comparable
SWE-bench (Vals)
Holotron-12B—
MiniMax M375.0%
Source
Not directly comparable

Multimodal

OfficeQA Pro
Holotron-12B—
MiniMax M345.1%
Source
Not directly comparable
OmniDocBench 1.5
Holotron-12B—
MiniMax M391.6%
Source
Not directly comparable
MMMU-Pro
Holotron-12B—
MiniMax M378.1%
Source
Not directly comparable
VideoMMMU
Holotron-12B—
MiniMax M384.6%
Source
Not directly comparable
Video-MME (with subtitle)
Holotron-12B—
MiniMax M385.4%
Source
Not directly comparable

Knowledge

GPQA Diamond (Vals)
Holotron-12B—
MiniMax M392.7%
Source
Not directly comparable
MMLU-Pro (Vals)
Holotron-12B—
MiniMax M384.2%
Source
Not directly comparable

Math

USAMO 2026
Holotron-12B—
MiniMax M385.7%
Source
Not directly comparable

28 public results · 0 shared

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Last updated November 11, 2026

Holotron-12B vs MiniMax M3

Decision reading

Which one for your work

Long documents

Coding work

Agentic work

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

Or describe your own job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

Which is better, Holotron-12B or MiniMax M3?

Which is better for coding, Holotron-12B or MiniMax M3?

Which is better for agentic tasks, Holotron-12B or MiniMax M3?

Which costs less, Holotron-12B or MiniMax M3?

Which has the larger context window, Holotron-12B or MiniMax M3?

Self-host vs API cost

Benchmark evidence

Agentic

Coding

Multimodal

Knowledge

Math

Related comparisons

Watch Holotron-12B vs MiniMax M3