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Model A
LongCat-Flash-Lite-Sparse

Meituan

—

Evidence status unavailable

90% interval unavailable

LongCat-Flash-Lite-Sparse vs MiniMax M3

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

MiniMax logo
Model B
MiniMax M3

MiniMax

61.55/100

Supported · Public rank #55

90% interval 52.5–70.6

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.

6 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.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    LongCat-Flash-Lite-Sparse 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

    LongCat-Flash-Lite-Sparse is not ranked on the public lane for agentic, so no winner is named for agentic.

    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
6
LongCat-Flash-Lite-Sparse only
11
MiniMax M3 only
21
Like-for-like categories
0 / 8

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.

Agentic

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
MiniMax M3
42.1
Supported · #107/152
Basis
BenchAlign lane · 4 vs 9 public rows
Reading
Not comparable

Coding

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
MiniMax M3
48.8
Estimated · #66/151
Basis
BenchAlign lane · 4 vs 10 public rows
Reading
Not comparable

Reasoning

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
MiniMax M3
78.0
#4/20
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
MiniMax M3
53.2
Supported · #64/183
Basis
BenchAlign lane · 5 vs 2 public rows
Reading
Not comparable

Math

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
MiniMax M3
Not ranked
Basis
Provisional lane · 2 vs 1 weighted rows
Reading
Not comparable

Multilingual

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
MiniMax M3
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
MiniMax M3
52.2
#34/48
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Instruction following

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
MiniMax M3
93.7
#4/123
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

LongCat-Flash-Lite-Sparse
Self-hosted; infrastructure cost varies
Fits in one request
MiniMax M3
$0.0009
Fits in one request

LongCat-Flash-Lite-Sparse has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

LongCat-Flash-Lite-Sparse
Self-hosted; infrastructure cost varies
Fits in one request
MiniMax M3
$0.0186
Fits in one request

LongCat-Flash-Lite-Sparse has no comparable published API token rate.

Cache-heavy agent loop

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

LongCat-Flash-Lite-Sparse
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
MiniMax M3
$0.03
Fits in one request

LongCat-Flash-Lite-Sparse 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.

Cached-input rate

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

LongCat-Flash-Lite-Sparse

No comparable hosted API rate

Meituan LongCat-Flash-Lite-Sparse model card

MiniMax M3

$0.06 per 1M cached input tokens

Documented inputs

LongCat-Flash-Lite-Sparse

Not sourced

MiniMax M3

Not sourced

Documented outputs

LongCat-Flash-Lite-Sparse

Not sourced

MiniMax M3

Not sourced

Provider availability

LongCat-Flash-Lite-Sparse

Not sourced

MiniMax M3

Not sourced

Reasoning profile

LongCat-Flash-Lite-Sparse

Reasoning

MiniMax M3

Non-Reasoning

Weight access

LongCat-Flash-Lite-Sparse

Open Weight

MiniMax M3

Open Weight

License

LongCat-Flash-Lite-Sparse

Open Weight

MiniMax M3

Open Weight

Release date

LongCat-Flash-Lite-Sparse

2026-07-31

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
Both models list 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 evidence38 rows

Agentic

  • Terminal-Bench 2.0

    LongCat-Flash-Lite-Sparse33.7%
    Source
    MiniMax M366%
    Source

    MiniMax M3 leads this result

  • VITA-Bench

    LongCat-Flash-Lite-Sparse21.7%
    Source
    MiniMax M3—

    Not directly comparable

  • MCP Atlas

    LongCat-Flash-Lite-Sparse45.6%
    Source
    MiniMax M374.2%
    Source

    MiniMax M3 leads this result

  • BrowseComp

    LongCat-Flash-Lite-Sparse48.6%
    Source
    MiniMax M383.5%
    Source

    MiniMax M3 leads this result

  • OSWorld-Verified

    LongCat-Flash-Lite-Sparse—
    MiniMax M370.1%
    Source

    Not directly comparable

  • Claw-Eval

    LongCat-Flash-Lite-Sparse—
    MiniMax M374.5%
    Source

    Not directly comparable

  • BankerToolBench

    LongCat-Flash-Lite-Sparse—
    MiniMax M376.1%
    Source

    Not directly comparable

  • ResearchClawBench

    LongCat-Flash-Lite-Sparse—
    MiniMax M319.8%
    Source

    Not directly comparable

  • OSWorld 2.0

    LongCat-Flash-Lite-Sparse—
    MiniMax M34.6%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    LongCat-Flash-Lite-Sparse—
    MiniMax M353.6%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    LongCat-Flash-Lite-Sparse68.2%
    Source
    MiniMax M380.5%
    Source

    MiniMax M3 leads this result

  • SWE-bench Pro

    LongCat-Flash-Lite-Sparse40.6%
    Source
    MiniMax M359%
    Source

    MiniMax M3 leads this result

  • SWE Multilingual

    LongCat-Flash-Lite-Sparse59.3%
    Source
    MiniMax M3—

    Not directly comparable

  • Terminal-Bench 2.0

    LongCat-Flash-Lite-Sparse33.7%
    Source
    MiniMax M366.0%
    Source

    MiniMax M3 leads this result

  • NL2Repo

    LongCat-Flash-Lite-Sparse—
    MiniMax M342.1%
    Source

    Not directly comparable

  • VIBE V2

    LongCat-Flash-Lite-Sparse—
    MiniMax M350.1%
    Source

    Not directly comparable

  • SVG-Bench

    LongCat-Flash-Lite-Sparse—
    MiniMax M363.7%
    Source

    Not directly comparable

  • KernelBench Hard

    LongCat-Flash-Lite-Sparse—
    MiniMax M328.8%
    Source

    Not directly comparable

  • OpenHarmony Bench

    LongCat-Flash-Lite-Sparse—
    MiniMax M348.4%
    Source

    Not directly comparable

  • LiveCodeBench (Vals)

    LongCat-Flash-Lite-Sparse—
    MiniMax M382.2%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    LongCat-Flash-Lite-Sparse—
    MiniMax M375.0%
    Source

    Not directly comparable

Knowledge

  • MMLU

    LongCat-Flash-Lite-Sparse85.3%
    Source
    MiniMax M3—

    Not directly comparable

  • MMLU-Pro

    LongCat-Flash-Lite-Sparse79.2%
    Source
    MiniMax M3—

    Not directly comparable

  • CMMLU

    LongCat-Flash-Lite-Sparse84.3%
    Source
    MiniMax M3—

    Not directly comparable

  • C-Eval

    LongCat-Flash-Lite-Sparse85.8%
    Source
    MiniMax M3—

    Not directly comparable

  • GPQA-D

    LongCat-Flash-Lite-Sparse69.5%
    Source
    MiniMax M3—

    Not directly comparable

  • GPQA Diamond (Vals)

    LongCat-Flash-Lite-Sparse—
    MiniMax M392.7%
    Source

    Not directly comparable

  • MMLU-Pro (Vals)

    LongCat-Flash-Lite-Sparse—
    MiniMax M384.2%
    Source

    Not directly comparable

Math

  • MATH-500

    LongCat-Flash-Lite-Sparse95.8%
    Source
    MiniMax M3—

    Not directly comparable

  • AIME26

    LongCat-Flash-Lite-Sparse65.7%
    Source
    MiniMax M3—

    Not directly comparable

  • HMMT Feb 2026

    LongCat-Flash-Lite-Sparse40.5%
    Source
    MiniMax M3—

    Not directly comparable

  • IMOAnswerBench

    LongCat-Flash-Lite-Sparse49.4%
    Source
    MiniMax M3—

    Not directly comparable

  • USAMO 2026

    LongCat-Flash-Lite-Sparse—
    MiniMax M385.7%
    Source

    Not directly comparable

Multimodal

  • OfficeQA Pro

    LongCat-Flash-Lite-Sparse—
    MiniMax M345.1%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    LongCat-Flash-Lite-Sparse—
    MiniMax M391.6%
    Source

    Not directly comparable

  • MMMU-Pro

    LongCat-Flash-Lite-Sparse—
    MiniMax M378.1%
    Source

    Not directly comparable

  • VideoMMMU

    LongCat-Flash-Lite-Sparse—
    MiniMax M384.6%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    LongCat-Flash-Lite-Sparse—
    MiniMax M385.4%
    Source

    Not directly comparable

Frequently asked questions

Which is better, LongCat-Flash-Lite-Sparse 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, LongCat-Flash-Lite-Sparse or MiniMax M3?

LongCat-Flash-Lite-Sparse is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, LongCat-Flash-Lite-Sparse or MiniMax M3?

LongCat-Flash-Lite-Sparse is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, LongCat-Flash-Lite-Sparse 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, LongCat-Flash-Lite-Sparse or MiniMax M3?

Both models list the same context window, 1M.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated September 10, 2026

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