Skip to main content
BenchLM
Advertise

Model comparison

Ling 3.0 Flash FP8 vs Qwen3.8 Max

Updated August 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Ling 3.0 Flash FP8

InclusionAI

—

Evidence status unavailable

90% interval unavailable

Qwen3.8 Max

Alibaba

60.9/100

Estimated · Public rank #46

90% interval 49.4–72.4

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

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.

  • Long documents

    Prompts that approach the documented context limit

    Qwen3.8 Max

    Qwen3.8 Max 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

  • 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

  • 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
3
Ling 3.0 Flash FP8 only
1
Qwen3.8 Max only
49
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.

Instruction following

Like-for-like
Ling 3.0 Flash FP8
73.4
Qwen3.8 Max
82.8
Weighted basis
1 vs 1 rows
Reading
Qwen3.8 Max leads

Knowledge

Directional only
Ling 3.0 Flash FP8
84.0
Qwen3.8 Max
50.2
Weighted basis
1 vs 2 rows
Reading
Directional only

Agentic

Not comparable
Ling 3.0 Flash FP8
Not measured
Qwen3.8 Max
86.1
Weighted basis
0 vs 1 rows
Reading
Not comparable

Coding

Not comparable
Ling 3.0 Flash FP8
40.4
Qwen3.8 Max
67.7
Weighted basis
1 vs 1 rows
Reading
Not comparable

Reasoning

Not comparable
Ling 3.0 Flash FP8
Not measured
Qwen3.8 Max
78.3
Weighted basis
0 vs 2 rows
Reading
Not comparable

Math

Not comparable
Ling 3.0 Flash FP8
Not measured
Qwen3.8 Max
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Ling 3.0 Flash FP8
Not measured
Qwen3.8 Max
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Ling 3.0 Flash FP8
Not measured
Qwen3.8 Max
86.3
Weighted basis
0 vs 2 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

Ling 3.0 Flash FP8
API rate not published
Fits in one request
Qwen3.8 Max
API rate not published
Fits in one request

Ling 3.0 Flash FP8 has no comparable published API token rate. Qwen3.8 Max has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Ling 3.0 Flash FP8
API rate not published
Fits in one request
Qwen3.8 Max
API rate not published
Fits in one request

Ling 3.0 Flash FP8 has no comparable published API token rate. Qwen3.8 Max has no comparable published API token rate.

Cache-heavy agent loop

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

Ling 3.0 Flash FP8
API rate not published
Fits in one request
Cached-input rate unavailable
Qwen3.8 Max
API rate not published
Fits in one request
Cached-input rate unavailable

Ling 3.0 Flash FP8 has no comparable published API token rate. Qwen3.8 Max 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.

Documented inputs

Ling 3.0 Flash FP8

Not sourced

Qwen3.8 Max

Not sourced

Documented outputs

Ling 3.0 Flash FP8

Not sourced

Qwen3.8 Max

Not sourced

Provider availability

Ling 3.0 Flash FP8

Not sourced

Qwen3.8 Max

Not sourced

Reasoning profile

Ling 3.0 Flash FP8

Reasoning

Qwen3.8 Max

Reasoning

Weight access

Ling 3.0 Flash FP8

Open Weight

Qwen3.8 Max

Proprietary

License

Ling 3.0 Flash FP8

Open Weight

Qwen3.8 Max

Proprietary

Release date

Ling 3.0 Flash FP8

2026-08-04

Qwen3.8 Max

2026-08-03

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
Qwen3.8 Max has the larger documented window (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 evidence53 rows

Agentic

  • Terminal-Bench 2.1

    Ling 3.0 Flash FP8—
    Qwen3.8 Max86.6%
    Source

    Not directly comparable

  • CoWorkBench

    Ling 3.0 Flash FP8—
    Qwen3.8 Max74.8%
    Source

    Not directly comparable

  • JobBench

    Ling 3.0 Flash FP8—
    Qwen3.8 Max53.4%
    Source

    Not directly comparable

  • skillsBench

    Ling 3.0 Flash FP8—
    Qwen3.8 Max70.2%
    Source

    Not directly comparable

  • Agents' Last Exam

    Ling 3.0 Flash FP8—
    Qwen3.8 Max52.4%
    Source

    Not directly comparable

  • AutomationBench

    Ling 3.0 Flash FP8—
    Qwen3.8 Max27.3%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Ling 3.0 Flash FP8—
    Qwen3.8 Max72.5%
    Source

    Not directly comparable

  • WideResearch

    Ling 3.0 Flash FP8—
    Qwen3.8 Max81.9%
    Source

    Not directly comparable

  • HLE w/ tools

    Ling 3.0 Flash FP8—
    Qwen3.8 Max56.2%
    Source

    Not directly comparable

  • OSWorld-Verified

    Ling 3.0 Flash FP8—
    Qwen3.8 Max86.1%
    Source

    Not directly comparable

  • OSWorld 2.0

    Ling 3.0 Flash FP8—
    Qwen3.8 Max19.4%
    Source

    Not directly comparable

  • WebArena-Verified

    Ling 3.0 Flash FP8—
    Qwen3.8 Max66.8%
    Source

    Not directly comparable

  • AndroidWorld

    Ling 3.0 Flash FP8—
    Qwen3.8 Max85.3%
    Source

    Not directly comparable

  • MobileWorld

    Ling 3.0 Flash FP8—
    Qwen3.8 Max77.8%
    Source

    Not directly comparable

Coding

  • SciCode

    Ling 3.0 Flash FP840.4%
    Source
    Qwen3.8 Max—

    Not directly comparable

  • Terminal-Bench 2.1

    Ling 3.0 Flash FP8—
    Qwen3.8 Max86.6%
    Source

    Not directly comparable

  • SWE-bench Pro

    Ling 3.0 Flash FP8—
    Qwen3.8 Max67.7%
    Source

    Not directly comparable

  • deepSwe

    Ling 3.0 Flash FP8—
    Qwen3.8 Max56.6%
    Source

    Not directly comparable

  • NL2Repo

    Ling 3.0 Flash FP8—
    Qwen3.8 Max55.9%
    Source

    Not directly comparable

  • FrontierSWE

    Ling 3.0 Flash FP8—
    Qwen3.8 Max73.5%
    Source

    Not directly comparable

  • MLS-Bench Lite

    Ling 3.0 Flash FP8—
    Qwen3.8 Max41.0%
    Source

    Not directly comparable

  • PaperBench

    Ling 3.0 Flash FP8—
    Qwen3.8 Max93.0%
    Source

    Not directly comparable

Reasoning

  • MRCRv2

    Ling 3.0 Flash FP8—
    Qwen3.8 Max92.9%
    Source

    Not directly comparable

  • LongBench v2

    Ling 3.0 Flash FP8—
    Qwen3.8 Max66.3%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Ling 3.0 Flash FP884%
    Source
    Qwen3.8 Max92.6%
    Source

    Qwen3.8 Max leads this result

  • GPQA-D

    Ling 3.0 Flash FP884.0%
    Source
    Qwen3.8 Max92.6%
    Source

    Qwen3.8 Max leads this result

  • HLE

    Ling 3.0 Flash FP8—
    Qwen3.8 Max43.6%
    Source

    Not directly comparable

  • HLE w/o tools

    Ling 3.0 Flash FP8—
    Qwen3.8 Max43.6%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Ling 3.0 Flash FP8—
    Qwen3.8 Max82.3%
    Source

    Not directly comparable

  • MathVision

    Ling 3.0 Flash FP8—
    Qwen3.8 Max95.2%
    Source

    Not directly comparable

  • MathVision w/ Python

    Ling 3.0 Flash FP8—
    Qwen3.8 Max97.7%
    Source

    Not directly comparable

  • BabyVision

    Ling 3.0 Flash FP8—
    Qwen3.8 Max82.0%
    Source

    Not directly comparable

  • BabyVision w/ Python

    Ling 3.0 Flash FP8—
    Qwen3.8 Max91.3%
    Source

    Not directly comparable

  • ZeroBench

    Ling 3.0 Flash FP8—
    Qwen3.8 Max24.0%
    Source

    Not directly comparable

  • ZeroBench w/ Python

    Ling 3.0 Flash FP8—
    Qwen3.8 Max49.0%
    Source

    Not directly comparable

  • MedXpertQA (MM)

    Ling 3.0 Flash FP8—
    Qwen3.8 Max80.4%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Ling 3.0 Flash FP8—
    Qwen3.8 Max84.5%
    Source

    Not directly comparable

  • Vision2Web

    Ling 3.0 Flash FP8—
    Qwen3.8 Max69.0%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Ling 3.0 Flash FP8—
    Qwen3.8 Max88.4%
    Source

    Not directly comparable

  • CharXiv

    Ling 3.0 Flash FP8—
    Qwen3.8 Max93.5%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    Ling 3.0 Flash FP8—
    Qwen3.8 Max92.1%
    Source

    Not directly comparable

  • OCRBench V2

    Ling 3.0 Flash FP8—
    Qwen3.8 Max74.2%
    Source

    Not directly comparable

  • CC-OCR

    Ling 3.0 Flash FP8—
    Qwen3.8 Max79.6%
    Source

    Not directly comparable

  • RealWorldQA

    Ling 3.0 Flash FP8—
    Qwen3.8 Max88.0%
    Source

    Not directly comparable

  • ERQA

    Ling 3.0 Flash FP8—
    Qwen3.8 Max77.8%
    Source

    Not directly comparable

  • SimpleVQA

    Ling 3.0 Flash FP8—
    Qwen3.8 Max75.0%
    Source

    Not directly comparable

  • PerceptionBench

    Ling 3.0 Flash FP8—
    Qwen3.8 Max63.5%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    Ling 3.0 Flash FP8—
    Qwen3.8 Max90.4%
    Source

    Not directly comparable

  • VideoMMMU

    Ling 3.0 Flash FP8—
    Qwen3.8 Max88.7%
    Source

    Not directly comparable

  • MMVU

    Ling 3.0 Flash FP8—
    Qwen3.8 Max82.4%
    Source

    Not directly comparable

  • MLVU (M-Avg)

    Ling 3.0 Flash FP8—
    Qwen3.8 Max90.8%
    Source

    Not directly comparable

  • LVBench

    Ling 3.0 Flash FP8—
    Qwen3.8 Max81.8%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Ling 3.0 Flash FP873.4%
    Source
    Qwen3.8 Max82.8%
    Source

    Qwen3.8 Max leads this result

Frequently asked questions

Which is better, Ling 3.0 Flash FP8 or Qwen3.8 Max?

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, Ling 3.0 Flash FP8 or Qwen3.8 Max?

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, Ling 3.0 Flash FP8 or Qwen3.8 Max?

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, Ling 3.0 Flash FP8 or Qwen3.8 Max?

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, Ling 3.0 Flash FP8 or Qwen3.8 Max?

Qwen3.8 Max has the larger documented context window: 1M, compared with 262K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 4, 2026

Watch Ling 3.0 Flash FP8 vs Qwen3.8 Max

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

Read a sample issue

Join 2,000+ readers.