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Model comparison

Hy3 Preview vs MiniMax M2.7

Updated August 7, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Hy3 Preview

Tencent

42.8/100

Estimated · Public rank #167

90% interval 32.9–52.7

MiniMax M2.7

MiniMax

63.1/100

Supported · Public rank #41

90% interval 56.5–69.7

MiniMax M2.7 has the higher public score, 63.1 versus 42.8, 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.

  • Agentic work

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

    MiniMax M2.7

    MiniMax M2.7 leads on the same 1 weighted benchmark row.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    Hy3 Preview

    Hy3 Preview 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

  • 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. MiniMax M2.7 does not fit this workload in one request. MiniMax M2.7 has no published cached-input rate, so cached tokens use its listed input rate. Hy3 Preview has no comparable published API token rate.

    Confidence: rate-fallback

  • 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 M2.7 only
15
Like-for-like categories
1 / 8

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

Like-for-like
Hy3 Preview
54.4
MiniMax M2.7
57.0
Weighted basis
1 vs 1 rows
Reading
MiniMax M2.7 leads

Coding

Not comparable
Hy3 Preview
74.4
MiniMax M2.7
53.3
Weighted basis
1 vs 2 rows
Reading
Not comparable

Reasoning

Not comparable
Hy3 Preview
Not measured
MiniMax M2.7
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Hy3 Preview
87.2
MiniMax M2.7
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Math

Not comparable
Hy3 Preview
Not measured
MiniMax M2.7
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Hy3 Preview
Not measured
MiniMax M2.7
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Hy3 Preview
Not measured
MiniMax M2.7
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Hy3 Preview
Not measured
MiniMax M2.7
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 M2.7
$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 M2.7
$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 M2.7
$0.078
Does not fit in one request
Cached input priced at the published list-input rate

MiniMax M2.7 does not fit this workload in one request. MiniMax M2.7 has no published cached-input rate, so cached tokens use its listed input rate. 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 M2.7

200K

API model ID

Hy3 Preview

Not sourced

MiniMax M2.7

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 M2.7

Not published

Documented inputs

Hy3 Preview

Not sourced

MiniMax M2.7

Not sourced

Documented outputs

Hy3 Preview

Not sourced

MiniMax M2.7

Not sourced

Provider availability

Hy3 Preview

Not sourced

MiniMax M2.7

Not sourced

Reasoning profile

Hy3 Preview

Reasoning

MiniMax M2.7

Non-Reasoning

Weight access

Hy3 Preview

Open Weight

MiniMax M2.7

Open Weight

License

Hy3 Preview

Open Weight

MiniMax M2.7

Open Weight

Release date

Hy3 Preview

2026-04-23

MiniMax M2.7

2026-03-18

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 M2.7 has the higher public score, 63.1 versus 42.8, and the 90% score intervals do not overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Hy3 Preview has the larger documented window (256K).

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 evidence21 rows

Agentic

  • Terminal-Bench 2.0

    Hy3 Preview54.4%
    Source
    MiniMax M2.757%
    Source

    MiniMax M2.7 leads this result

  • Hy3 Preview36.91%
    MiniMax M2.740.40%

    MiniMax M2.7 leads this result

  • Toolathlon

    Hy3 Preview
    MiniMax M2.746.3%
    Source

    Not directly comparable

  • MLE-Bench Lite

    Hy3 Preview
    MiniMax M2.766.6%
    Source

    Not directly comparable

  • MM-ClawBench

    Hy3 Preview
    MiniMax M2.762.7%
    Source

    Not directly comparable

  • Claw-Eval

    Hy3 Preview
    MiniMax M2.748.7%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Hy3 Preview74.4%
    Source
    MiniMax M2.7

    Not directly comparable

  • Terminal-Bench 2.0

    Hy3 Preview54.4%
    Source
    MiniMax M2.7

    Not directly comparable

  • SWE-bench Verified*

    Hy3 Preview
    MiniMax M2.775.4%
    Source

    Not directly comparable

  • SWE-bench Pro

    Hy3 Preview
    MiniMax M2.756.2%
    Source

    Not directly comparable

  • SWE-Rebench

    Hy3 Preview
    MiniMax M2.751.9%
    Source

    Not directly comparable

  • SWE Multilingual

    Hy3 Preview
    MiniMax M2.776.5%
    Source

    Not directly comparable

  • Multi-SWE Bench

    Hy3 Preview
    MiniMax M2.752.7%
    Source

    Not directly comparable

  • VIBE-Pro

    Hy3 Preview
    MiniMax M2.755.6%
    Source

    Not directly comparable

  • NL2Repo

    Hy3 Preview
    MiniMax M2.739.8%
    Source

    Not directly comparable

  • Vibe Code Bench

    Hy3 Preview
    MiniMax M2.727.04%
    Source

    Not directly comparable

  • React Native Evals

    Hy3 Preview
    MiniMax M2.771.4%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Hy3 Preview87.2%
    Source
    MiniMax M2.7

    Not directly comparable

  • GPQA-D

    Hy3 Preview87.2%
    Source
    MiniMax M2.787.0%
    Source

    Hy3 Preview leads this result

  • MMLU-Pro (Arcee)

    Hy3 Preview
    MiniMax M2.780.8%
    Source

    Not directly comparable

Math

  • AIME25 (Arcee)

    Hy3 Preview
    MiniMax M2.780.0%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Hy3 Preview or MiniMax M2.7?

MiniMax M2.7 has the higher public score, 63.1 versus 42.8, 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 M2.7?

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, Hy3 Preview or MiniMax M2.7?

MiniMax M2.7 leads the like-for-like agentic tasks comparison across 1 shared weighted benchmark row.

Which costs less, Hy3 Preview or MiniMax M2.7?

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 M2.7?

Hy3 Preview has the larger documented context window: 256K, compared with 200K.

Related comparisons

Last updated August 7, 2026

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