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BenchLM
H Company logo
Model A
Holo3-35B-A3B

H Company

—

Evidence status unavailable

90% interval unavailable

Holo3-35B-A3B vs MiniMax M3

Updated August 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

MiniMax logo
Model B
MiniMax M3

MiniMax

68.73/100

Supported · Public rank #21

90% interval 63.5–74.0

Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

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

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    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. Holo3-35B-A3B does not fit this workload in one request. Holo3-35B-A3B 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

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
1
Holo3-35B-A3B only
0
MiniMax M3 only
21
Like-for-like categories
0 / 8

1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Agentic

Directional only
Holo3-35B-A3B
82.6
MiniMax M3
72.3
Weighted basis
1 vs 3 rows
Reading
Directional only

Coding

Not comparable
Holo3-35B-A3B
Not measured
MiniMax M3
72.2
Weighted basis
0 vs 2 rows
Reading
Not comparable

Reasoning

Not comparable
Holo3-35B-A3B
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Holo3-35B-A3B
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Math

Not comparable
Holo3-35B-A3B
Not measured
MiniMax M3
85.7
Weighted basis
0 vs 1 rows
Reading
Not comparable

Multilingual

Not comparable
Holo3-35B-A3B
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Holo3-35B-A3B
Not measured
MiniMax M3
64.9
Weighted basis
0 vs 2 rows
Reading
Not comparable

Instruction following

Not comparable
Holo3-35B-A3B
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

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.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

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

Holo3-35B-A3B
API rate not published
Fits in one request
MiniMax M3
$0.0009
Fits in one request

Holo3-35B-A3B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Holo3-35B-A3B
API rate not published
Fits in one request
MiniMax M3
$0.0186
Fits in one request

Holo3-35B-A3B has no comparable published API token rate.

Cache-heavy agent loop

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

Holo3-35B-A3B
API rate not published
Does not fit in one request
Cached-input rate unavailable
MiniMax M3
$0.03
Fits in one request

Holo3-35B-A3B does not fit this workload in one request. Holo3-35B-A3B has no comparable published API token rate.

Specification differences

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

Context window

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

Holo3-35B-A3B

64K

MiniMax M3

1M

API model ID

Holo3-35B-A3B

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.

Holo3-35B-A3B

No comparable hosted API rate

MiniMax M3

$0.06 per 1M cached input tokens

Documented inputs

Holo3-35B-A3B

Not sourced

MiniMax M3

Not sourced

Documented outputs

Holo3-35B-A3B

Not sourced

MiniMax M3

Not sourced

Provider availability

Holo3-35B-A3B

Not sourced

MiniMax M3

Not sourced

Reasoning profile

Holo3-35B-A3B

Non-Reasoning

MiniMax M3

Non-Reasoning

Weight access

Holo3-35B-A3B

Open Weight

MiniMax M3

Open Weight

License

Holo3-35B-A3B

Open Weight

MiniMax M3

Open Weight

Release date

Holo3-35B-A3B

2026-03-31

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
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
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.

Benchmark evidence

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

Browse raw public benchmark evidence22 rows

Agentic

  • OSWorld-Verified

    Holo3-35B-A3B82.6%
    Source
    MiniMax M370.1%
    Source

    Holo3-35B-A3B leads this result

  • Terminal-Bench 2.0

    Holo3-35B-A3B—
    MiniMax M366%
    Source

    Not directly comparable

  • BrowseComp

    Holo3-35B-A3B—
    MiniMax M383.5%
    Source

    Not directly comparable

  • MCP Atlas

    Holo3-35B-A3B—
    MiniMax M374.2%
    Source

    Not directly comparable

  • Claw-Eval

    Holo3-35B-A3B—
    MiniMax M374.5%
    Source

    Not directly comparable

  • BankerToolBench

    Holo3-35B-A3B—
    MiniMax M376.1%
    Source

    Not directly comparable

  • ResearchClawBench

    Holo3-35B-A3B—
    MiniMax M319.8%
    Source

    Not directly comparable

  • OSWorld 2.0

    Holo3-35B-A3B—
    MiniMax M34.6%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Holo3-35B-A3B—
    MiniMax M380.5%
    Source

    Not directly comparable

  • SWE-bench Pro

    Holo3-35B-A3B—
    MiniMax M359%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    Holo3-35B-A3B—
    MiniMax M366.0%
    Source

    Not directly comparable

  • NL2Repo

    Holo3-35B-A3B—
    MiniMax M342.1%
    Source

    Not directly comparable

  • VIBE V2

    Holo3-35B-A3B—
    MiniMax M350.1%
    Source

    Not directly comparable

  • SVG-Bench

    Holo3-35B-A3B—
    MiniMax M363.7%
    Source

    Not directly comparable

  • KernelBench Hard

    Holo3-35B-A3B—
    MiniMax M328.8%
    Source

    Not directly comparable

  • OpenHarmony Bench

    Holo3-35B-A3B—
    MiniMax M348.4%
    Source

    Not directly comparable

Math

  • USAMO 2026

    Holo3-35B-A3B—
    MiniMax M385.7%
    Source

    Not directly comparable

Multimodal

  • OfficeQA Pro

    Holo3-35B-A3B—
    MiniMax M345.1%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    Holo3-35B-A3B—
    MiniMax M391.6%
    Source

    Not directly comparable

  • MMMU-Pro

    Holo3-35B-A3B—
    MiniMax M378.1%
    Source

    Not directly comparable

  • VideoMMMU

    Holo3-35B-A3B—
    MiniMax M384.6%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    Holo3-35B-A3B—
    MiniMax M385.4%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Holo3-35B-A3B or MiniMax M3?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Holo3-35B-A3B or MiniMax M3?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Holo3-35B-A3B or MiniMax M3?

The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Holo3-35B-A3B 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, Holo3-35B-A3B or MiniMax M3?

MiniMax M3 has the larger documented context window: 1M, compared with 64K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 30, 2026

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