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BenchLM
Poolside logo
Model A
Laguna XS.2

Poolside

1.53/100

Estimated · Public rank #251

90% interval 0.0–11.4

Laguna XS.2 vs MiMo-V2-Omni

Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Xiaomi logo
Model B
MiMo-V2-Omni

Xiaomi

57.75/100

Supported · Public rank #75

90% interval 44.0–71.5

Decision reading

MiMo-V2-Omni has the higher public score, 57.75 versus 1.53, and the 90% score intervals do not overlap.

1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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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

    MiMo-V2-Omni

    MiMo-V2-Omni 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

    MiMo-V2-Omni 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

    MiMo-V2-Omni 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

    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
1
Laguna XS.2 only
9
MiMo-V2-Omni only
1
Like-for-like categories
0 / 8

1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, 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.

Knowledge

Directional only
Laguna XS.2
17.7
Estimated · #183/183
MiMo-V2-Omni
49.5
Estimated · #84/183
Basis
BenchAlign lane · 2 vs 0 public rows
Reading
Directional only

Agentic

Not comparable
Laguna XS.2
22.4
Estimated · #149/152
MiMo-V2-Omni
Not ranked
Basis
BenchAlign lane · 2 vs 1 public rows
Reading
Not comparable

Coding

Not comparable
Laguna XS.2
24.7
Supported · #148/151
MiMo-V2-Omni
Not ranked
Basis
BenchAlign lane · 6 vs 1 public rows
Reading
Not comparable

Reasoning

Not comparable
Laguna XS.2
Not ranked
MiMo-V2-Omni
72.6
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Laguna XS.2
Not ranked
MiMo-V2-Omni
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Laguna XS.2
Not ranked
MiMo-V2-Omni
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Laguna XS.2
Not ranked
MiMo-V2-Omni
63.0
Unranked · 1 rankable row
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Laguna XS.2
Not ranked
MiMo-V2-Omni
64.1
#70/123
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

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

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

Laguna XS.2
Self-hosted; infrastructure cost varies
Fits in one request
MiMo-V2-Omni
API rate not published
Fits in one request

Laguna XS.2 has no comparable published API token rate. MiMo-V2-Omni has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Laguna XS.2
Self-hosted; infrastructure cost varies
Fits in one request
MiMo-V2-Omni
API rate not published
Fits in one request

Laguna XS.2 has no comparable published API token rate. MiMo-V2-Omni has no comparable published API token rate.

Cache-heavy agent loop

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

Laguna XS.2
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
MiMo-V2-Omni
API rate not published
Fits in one request
Cached-input rate unavailable

Laguna XS.2 has no comparable published API token rate. MiMo-V2-Omni 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.

Laguna XS.2

256K

MiMo-V2-Omni

262K

API model ID

Laguna XS.2

Not sourced

MiMo-V2-Omni

Not sourced

Cached-input rate

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

Laguna XS.2

No comparable hosted API rate

MiMo-V2-Omni

No comparable hosted API rate

Documented inputs

Laguna XS.2

Not sourced

MiMo-V2-Omni

Not sourced

Documented outputs

Laguna XS.2

Not sourced

MiMo-V2-Omni

Not sourced

Provider availability

Laguna XS.2

Not sourced

MiMo-V2-Omni

Not sourced

Reasoning profile

Laguna XS.2

Reasoning

MiMo-V2-Omni

Reasoning

Weight access

Laguna XS.2

Open Weight

MiMo-V2-Omni

Proprietary

License

Laguna XS.2

Open Weight

MiMo-V2-Omni

Proprietary

Release date

Laguna XS.2

2026-04-28

MiMo-V2-Omni

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
MiMo-V2-Omni has the higher public score, 57.75 versus 1.53, and the 90% score intervals do not overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
MiMo-V2-Omni has the larger documented window (262K).

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 evidence11 rows

Agentic

  • Terminal-Bench 2.0

    Laguna XS.235.7%
    Source
    MiMo-V2-Omni—

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Laguna XS.225.8%
    Source
    MiMo-V2-Omni—

    Not directly comparable

  • Claw-Eval

    Laguna XS.2—
    MiMo-V2-Omni45.2%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Laguna XS.269.9%
    Source
    MiMo-V2-Omni74.8%
    Source

    MiMo-V2-Omni leads this result

  • SWE Multilingual

    Laguna XS.257.7%
    Source
    MiMo-V2-Omni—

    Not directly comparable

  • SWE-bench Pro

    Laguna XS.246.3%
    Source
    MiMo-V2-Omni—

    Not directly comparable

  • Terminal-Bench 2.0

    Laguna XS.235.7%
    Source
    MiMo-V2-Omni—

    Not directly comparable

  • LiveCodeBench (Vals)

    Laguna XS.267.8%
    Source
    MiMo-V2-Omni—

    Not directly comparable

  • SWE-bench (Vals)

    Laguna XS.255.2%
    Source
    MiMo-V2-Omni—

    Not directly comparable

Knowledge

  • GPQA Diamond (Vals)

    Laguna XS.255.1%
    Source
    MiMo-V2-Omni—

    Not directly comparable

  • MMLU-Pro (Vals)

    Laguna XS.269.1%
    Source
    MiMo-V2-Omni—

    Not directly comparable

Frequently asked questions

Which is better, Laguna XS.2 or MiMo-V2-Omni?

MiMo-V2-Omni has the higher public score, 57.75 versus 1.53, 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, Laguna XS.2 or MiMo-V2-Omni?

MiMo-V2-Omni is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Laguna XS.2 or MiMo-V2-Omni?

MiMo-V2-Omni is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Laguna XS.2 or MiMo-V2-Omni?

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, Laguna XS.2 or MiMo-V2-Omni?

MiMo-V2-Omni has the larger documented context window: 262K, compared with 256K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated September 10, 2026

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