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BenchLM
Tencent logo
Model A
Hy3 Preview

Tencent

43.68/100

Estimated · Public rank #177

90% interval 33.8–53.5

Hy3 Preview 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

MiniMax M3 has the higher public score, 68.73 versus 43.68, and the 90% score intervals do not overlap.

3 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

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

    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

    A complete comparable API-rate estimate is not available for both models.

    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
3
Hy3 Preview only
3
MiniMax M3 only
19
Like-for-like categories
0 / 8

2 categories use 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
Hy3 Preview
54.4
MiniMax M3
72.3
Weighted basis
1 vs 3 rows
Reading
Directional only

Coding

Directional only
Hy3 Preview
74.4
MiniMax M3
72.2
Weighted basis
1 vs 2 rows
Reading
Directional only

Reasoning

Not comparable
Hy3 Preview
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Hy3 Preview
87.2
MiniMax M3
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Math

Not comparable
Hy3 Preview
Not measured
MiniMax M3
85.7
Weighted basis
0 vs 1 rows
Reading
Not comparable

Multilingual

Not comparable
Hy3 Preview
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Hy3 Preview
Not measured
MiniMax M3
64.9
Weighted basis
0 vs 2 rows
Reading
Not comparable

Instruction following

Not comparable
Hy3 Preview
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

Hy3 Preview
Self-hosted; infrastructure cost varies
Fits in one request
MiniMax M3
$0.0009
Fits in one request

Hy3 Preview has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Hy3 Preview
Self-hosted; infrastructure cost varies
Fits in one request
MiniMax M3
$0.0186
Fits in one request

Hy3 Preview has no comparable published API token rate.

Cache-heavy agent loop

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

Hy3 Preview
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
MiniMax M3
$0.03
Fits in one request

Hy3 Preview 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.

Hy3 Preview

256K

MiniMax M3

1M

API model ID

Hy3 Preview

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.

Hy3 Preview

No comparable hosted API rate

MiniMax M3

$0.06 per 1M cached input tokens

Documented inputs

Hy3 Preview

Not sourced

MiniMax M3

Not sourced

Documented outputs

Hy3 Preview

Not sourced

MiniMax M3

Not sourced

Provider availability

Hy3 Preview

Not sourced

MiniMax M3

Not sourced

Reasoning profile

Hy3 Preview

Reasoning

MiniMax M3

Non-Reasoning

Weight access

Hy3 Preview

Open Weight

MiniMax M3

Open Weight

License

Hy3 Preview

Open Weight

MiniMax M3

Open Weight

Release date

Hy3 Preview

2026-04-23

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
MiniMax M3 has the higher public score, 68.73 versus 43.68, and the 90% score intervals do not overlap.
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 evidence25 rows

Agentic

  • Terminal-Bench 2.0

    Hy3 Preview54.4%
    Source
    MiniMax M366%
    Source

    MiniMax M3 leads this result

  • Gert Labs

    Hy3 Preview36.91%
    Source
    MiniMax M3—

    Not directly comparable

  • BrowseComp

    Hy3 Preview—
    MiniMax M383.5%
    Source

    Not directly comparable

  • OSWorld-Verified

    Hy3 Preview—
    MiniMax M370.1%
    Source

    Not directly comparable

  • MCP Atlas

    Hy3 Preview—
    MiniMax M374.2%
    Source

    Not directly comparable

  • Claw-Eval

    Hy3 Preview—
    MiniMax M374.5%
    Source

    Not directly comparable

  • BankerToolBench

    Hy3 Preview—
    MiniMax M376.1%
    Source

    Not directly comparable

  • ResearchClawBench

    Hy3 Preview—
    MiniMax M319.8%
    Source

    Not directly comparable

  • OSWorld 2.0

    Hy3 Preview—
    MiniMax M34.6%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Hy3 Preview74.4%
    Source
    MiniMax M380.5%
    Source

    MiniMax M3 leads this result

  • Terminal-Bench 2.0

    Hy3 Preview54.4%
    Source
    MiniMax M366.0%
    Source

    MiniMax M3 leads this result

  • SWE-bench Pro

    Hy3 Preview—
    MiniMax M359%
    Source

    Not directly comparable

  • NL2Repo

    Hy3 Preview—
    MiniMax M342.1%
    Source

    Not directly comparable

  • VIBE V2

    Hy3 Preview—
    MiniMax M350.1%
    Source

    Not directly comparable

  • SVG-Bench

    Hy3 Preview—
    MiniMax M363.7%
    Source

    Not directly comparable

  • KernelBench Hard

    Hy3 Preview—
    MiniMax M328.8%
    Source

    Not directly comparable

  • OpenHarmony Bench

    Hy3 Preview—
    MiniMax M348.4%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Hy3 Preview87.2%
    Source
    MiniMax M3—

    Not directly comparable

  • GPQA-D

    Hy3 Preview87.2%
    Source
    MiniMax M3—

    Not directly comparable

Math

  • USAMO 2026

    Hy3 Preview—
    MiniMax M385.7%
    Source

    Not directly comparable

Multimodal

  • OfficeQA Pro

    Hy3 Preview—
    MiniMax M345.1%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    Hy3 Preview—
    MiniMax M391.6%
    Source

    Not directly comparable

  • MMMU-Pro

    Hy3 Preview—
    MiniMax M378.1%
    Source

    Not directly comparable

  • VideoMMMU

    Hy3 Preview—
    MiniMax M384.6%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    Hy3 Preview—
    MiniMax M385.4%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Hy3 Preview or MiniMax M3?

MiniMax M3 has the higher public score, 68.73 versus 43.68, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, Hy3 Preview or MiniMax M3?

The current coding 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 is better for agentic tasks, Hy3 Preview 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, Hy3 Preview 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, Hy3 Preview or MiniMax M3?

MiniMax M3 has the larger documented context window: 1M, compared with 256K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 30, 2026

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