Skip to main content
Radar

Keep up with the models you depend on. Follow price changes, retirements, and API updates.Follow the models you depend on.

Follow model changes
BenchLM
Meituan logo
Model A
LongCat-Flash-Lite-Sparse

Meituan

—

Evidence status unavailable

90% interval unavailable

LongCat-Flash-Lite-Sparse vs Qwen3.7 Plus

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

Alibaba logo
Model B
Qwen3.7 Plus

Alibaba

61.56/100

Supported · Public rank #54

90% interval 50.7–72.4

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.

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

Share or export

Share on XLinkedInSocial cardCSVJSON

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
11
LongCat-Flash-Lite-Sparse only
6
Qwen3.7 Plus only
41
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
Qwen3.7 Plus
37.3
Supported · #126/152
Basis
BenchAlign lane · 4 vs 11 public rows
Reading
Not comparable

Coding

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
Qwen3.7 Plus
52.5
Estimated · #46/151
Basis
BenchAlign lane · 4 vs 7 public rows
Reading
Not comparable

Reasoning

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
Qwen3.7 Plus
74.0
Unranked · 3 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Knowledge

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
Qwen3.7 Plus
56.2
Estimated · #49/183
Basis
BenchAlign lane · 5 vs 7 public rows
Reading
Not comparable

Math

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
Qwen3.7 Plus
78.3
Unranked · 3 rankable rows
Basis
Provisional lane · 2 vs 1 weighted rows
Reading
Not comparable

Multilingual

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
Qwen3.7 Plus
78.9
#3/12
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multimodal

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
Qwen3.7 Plus
72.5
#18/48
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Instruction following

Not comparable
LongCat-Flash-Lite-Sparse
Not ranked
Qwen3.7 Plus
91.1
#17/123
Basis
Provisional lane · 0 vs 1 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
Qwen3.7 Plus
API rate not published
Fits in one request

LongCat-Flash-Lite-Sparse has no comparable published API token rate. Qwen3.7 Plus 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
Qwen3.7 Plus
API rate not published
Fits in one request

LongCat-Flash-Lite-Sparse has no comparable published API token rate. Qwen3.7 Plus 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
Qwen3.7 Plus
API rate not published
Fits in one request
Cached-input rate unavailable

LongCat-Flash-Lite-Sparse has no comparable published API token rate. Qwen3.7 Plus 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

Qwen3.7 Plus

No comparable hosted API rate

Documented inputs

LongCat-Flash-Lite-Sparse

Not sourced

Qwen3.7 Plus

Not sourced

Documented outputs

LongCat-Flash-Lite-Sparse

Not sourced

Qwen3.7 Plus

Not sourced

Provider availability

LongCat-Flash-Lite-Sparse

Not sourced

Qwen3.7 Plus

Not sourced

Reasoning profile

LongCat-Flash-Lite-Sparse

Reasoning

Qwen3.7 Plus

Reasoning

Weight access

LongCat-Flash-Lite-Sparse

Open Weight

Qwen3.7 Plus

Proprietary

License

LongCat-Flash-Lite-Sparse

Open Weight

Qwen3.7 Plus

Proprietary

Release date

LongCat-Flash-Lite-Sparse

2026-07-31

Qwen3.7 Plus

2026-06-03

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 evidence58 rows

Agentic

  • Terminal-Bench 2.0

    LongCat-Flash-Lite-Sparse33.7%
    Source
    Qwen3.7 Plus70.3%
    Source

    Qwen3.7 Plus leads this result

  • VITA-Bench

    LongCat-Flash-Lite-Sparse21.7%
    Source
    Qwen3.7 Plus45.6%
    Source

    Qwen3.7 Plus leads this result

  • MCP Atlas

    LongCat-Flash-Lite-Sparse45.6%
    Source
    Qwen3.7 Plus73.2%
    Source

    Qwen3.7 Plus leads this result

  • BrowseComp

    LongCat-Flash-Lite-Sparse48.6%
    Source
    Qwen3.7 Plus—

    Not directly comparable

  • QwenClawBench

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus61.8%
    Source

    Not directly comparable

  • Claw-Eval

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus62.7%
    Source

    Not directly comparable

  • BFCL v4

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus72.9%
    Source

    Not directly comparable

  • DeepPlanning

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus62.3%
    Source

    Not directly comparable

  • OSWorld-Verified

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus73.3%
    Source

    Not directly comparable

  • AndroidWorld

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus81.0%
    Source

    Not directly comparable

  • OSWorld 2.0

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus2.8%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus52.8%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    LongCat-Flash-Lite-Sparse68.2%
    Source
    Qwen3.7 Plus77.7%
    Source

    Qwen3.7 Plus leads this result

  • SWE-bench Pro

    LongCat-Flash-Lite-Sparse40.6%
    Source
    Qwen3.7 Plus57.6%
    Source

    Qwen3.7 Plus leads this result

  • SWE Multilingual

    LongCat-Flash-Lite-Sparse59.3%
    Source
    Qwen3.7 Plus75.8%
    Source

    Qwen3.7 Plus leads this result

  • Terminal-Bench 2.0

    LongCat-Flash-Lite-Sparse33.7%
    Source
    Qwen3.7 Plus70.3%
    Source

    Qwen3.7 Plus leads this result

  • NL2Repo

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus41.1%
    Source

    Not directly comparable

  • SciCode

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus51.3%
    Source

    Not directly comparable

  • LiveCodeBench

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus89.6%
    Source

    Not directly comparable

Reasoning

  • CritPt

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus9.1%
    Source

    Not directly comparable

  • MRCRv2

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus91.7%
    Source

    Not directly comparable

Knowledge

  • MMLU

    LongCat-Flash-Lite-Sparse85.3%
    Source
    Qwen3.7 Plus—

    Not directly comparable

  • MMLU-Pro

    LongCat-Flash-Lite-Sparse79.2%
    Source
    Qwen3.7 Plus88.5%
    Source

    Qwen3.7 Plus leads this result

  • CMMLU

    LongCat-Flash-Lite-Sparse84.3%
    Source
    Qwen3.7 Plus—

    Not directly comparable

  • C-Eval

    LongCat-Flash-Lite-Sparse85.8%
    Source
    Qwen3.7 Plus—

    Not directly comparable

  • GPQA-D

    LongCat-Flash-Lite-Sparse69.5%
    Source
    Qwen3.7 Plus90.3%
    Source

    Qwen3.7 Plus leads this result

  • GPQA

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus90.3%
    Source

    Not directly comparable

  • HLE

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus34.7%
    Source

    Not directly comparable

  • MMLU-Redux

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus94.5%
    Source

    Not directly comparable

  • SuperGPQA

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus71.4%
    Source

    Not directly comparable

  • MMMLU

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus89.0%
    Source

    Not directly comparable

Math

  • MATH-500

    LongCat-Flash-Lite-Sparse95.8%
    Source
    Qwen3.7 Plus—

    Not directly comparable

  • AIME26

    LongCat-Flash-Lite-Sparse65.7%
    Source
    Qwen3.7 Plus—

    Not directly comparable

  • HMMT Feb 2026

    LongCat-Flash-Lite-Sparse40.5%
    Source
    Qwen3.7 Plus92.9%
    Source

    Qwen3.7 Plus leads this result

  • IMOAnswerBench

    LongCat-Flash-Lite-Sparse49.4%
    Source
    Qwen3.7 Plus86.0%
    Source

    Qwen3.7 Plus leads this result

  • Apex

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus22.7%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus85.4%
    Source

    Not directly comparable

  • NOVA-63

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus58.8%
    Source

    Not directly comparable

  • INCLUDE

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus83.0%
    Source

    Not directly comparable

  • MAXIFE

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus88.8%
    Source

    Not directly comparable

  • PolyMath

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus84.0%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus79%
    Source

    Not directly comparable

  • MathVision

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus90.3%
    Source

    Not directly comparable

  • CharXiv

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus85.9%
    Source

    Not directly comparable

  • ERQA

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus69.8%
    Source

    Not directly comparable

  • MedXpertQA (MM)

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus71.0%
    Source

    Not directly comparable

  • ScreenSpot Pro

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus79.0%
    Source

    Not directly comparable

  • SimpleVQA

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus81.7%
    Source

    Not directly comparable

  • MMSearch-Plus

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus41.4%
    Source

    Not directly comparable

  • RealWorldQA

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus86.9%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus91.4%
    Source

    Not directly comparable

  • OCRBench V2

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus70.7%
    Source

    Not directly comparable

  • ODINW13

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus51.1%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus88.0%
    Source

    Not directly comparable

  • VideoMMMU

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus85.4%
    Source

    Not directly comparable

  • MLVU (M-Avg)

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus87.4%
    Source

    Not directly comparable

Instruction following

  • IFEval

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus94.6%
    Source

    Not directly comparable

  • IFBench

    LongCat-Flash-Lite-Sparse—
    Qwen3.7 Plus79.1%
    Source

    Not directly comparable

Frequently asked questions

Which is better, LongCat-Flash-Lite-Sparse or Qwen3.7 Plus?

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 Qwen3.7 Plus?

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 Qwen3.7 Plus?

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 Qwen3.7 Plus?

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 Qwen3.7 Plus?

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

Watch LongCat-Flash-Lite-Sparse vs Qwen3.7 Plus

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 2,000+ readers.