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Model comparison

Hy3 Preview vs MiMo-V2-Flash

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

MiMo-V2-Flash

Xiaomi

53.1/100

Supported · Public rank #99

90% interval 39.0–67.2

MiMo-V2-Flash has the higher public score estimate, 53.1 versus 42.8, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

2 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.

  • Coding work

    Code generation, repair, and software-engineering tasks

    Hy3 Preview

    Hy3 Preview leads on the same 1 weighted benchmark row.

    Confidence: limited

Show secondary and unsupported calls
  • Agentic work

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

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

  • 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
2
Hy3 Preview only
4
MiMo-V2-Flash only
2
Like-for-like categories
1 / 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.

Coding

Like-for-like
Hy3 Preview
74.4
MiMo-V2-Flash
73.4
Weighted basis
1 vs 1 rows
Reading
Hy3 Preview leads

Knowledge

Directional only
Hy3 Preview
87.2
MiMo-V2-Flash
84.7
Weighted basis
1 vs 2 rows
Reading
Directional only

Agentic

Not comparable
Hy3 Preview
54.4
MiMo-V2-Flash
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Hy3 Preview
Not measured
MiMo-V2-Flash
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Math

Not comparable
Hy3 Preview
Not measured
MiMo-V2-Flash
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Hy3 Preview
Not measured
MiMo-V2-Flash
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Hy3 Preview
Not measured
MiMo-V2-Flash
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Hy3 Preview
Not measured
MiMo-V2-Flash
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
MiMo-V2-Flash
Self-hosted; infrastructure cost varies
Fits in one request

Hy3 Preview has no comparable published API token rate. MiMo-V2-Flash 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
MiMo-V2-Flash
Self-hosted; infrastructure cost varies
Fits in one request

Hy3 Preview has no comparable published API token rate. MiMo-V2-Flash 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
MiMo-V2-Flash
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Hy3 Preview has no comparable published API token rate. MiMo-V2-Flash 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

MiMo-V2-Flash

256K

API model ID

Hy3 Preview

Not sourced

MiMo-V2-Flash

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

MiMo-V2-Flash

No comparable hosted API rate

Documented inputs

Hy3 Preview

Not sourced

MiMo-V2-Flash

Not sourced

Documented outputs

Hy3 Preview

Not sourced

MiMo-V2-Flash

Not sourced

Provider availability

Hy3 Preview

Not sourced

MiMo-V2-Flash

Not sourced

Reasoning profile

Hy3 Preview

Reasoning

MiMo-V2-Flash

Reasoning

Weight access

Hy3 Preview

Open Weight

MiMo-V2-Flash

Open Weight

License

Hy3 Preview

Open Weight

MiMo-V2-Flash

Open Weight

Release date

Hy3 Preview

2026-04-23

MiMo-V2-Flash

2026-03-15

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
MiMo-V2-Flash has the higher public score estimate, 53.1 versus 42.8, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Both models list 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 evidence8 rows

Agentic

  • Terminal-Bench 2.0

    Hy3 Preview54.4%
    Source
    MiMo-V2-Flash

    Not directly comparable

  • Gert Labs

    Hy3 Preview36.91%
    Source
    MiMo-V2-Flash

    Not directly comparable

Coding

  • SWE-bench Verified

    Hy3 Preview74.4%
    Source
    MiMo-V2-Flash73.4%
    Source

    Hy3 Preview leads this result

  • Terminal-Bench 2.0

    Hy3 Preview54.4%
    Source
    MiMo-V2-Flash

    Not directly comparable

Knowledge

  • GPQA

    Hy3 Preview87.2%
    Source
    MiMo-V2-Flash83.7%
    Source

    Hy3 Preview leads this result

  • GPQA-D

    Hy3 Preview87.2%
    Source
    MiMo-V2-Flash

    Not directly comparable

  • MMLU-Pro

    Hy3 Preview
    MiMo-V2-Flash84.9%
    Source

    Not directly comparable

Math

  • AIME 2025

    Hy3 Preview
    MiMo-V2-Flash94.1%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Hy3 Preview or MiMo-V2-Flash?

MiMo-V2-Flash has the higher public score estimate, 53.1 versus 42.8, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Hy3 Preview or MiMo-V2-Flash?

Hy3 Preview leads the like-for-like coding comparison across 1 shared weighted benchmark row.

Which is better for agentic tasks, Hy3 Preview or MiMo-V2-Flash?

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

Which costs less, Hy3 Preview or MiMo-V2-Flash?

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 MiMo-V2-Flash?

Both models list the same context window, 256K.

Related comparisons

Last updated August 7, 2026

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