Skip to main content
Radar

Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.

See the free Radar Brief
IBM logo
Model A
Granite 4.2 8B

IBM

46.88/100

Estimated · Public rank #162

90% interval 35.4–58.4

Granite 4.2 8B vs Qwen3.8 Max

Updated August 31, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Alibaba logo
Model B
Qwen3.8 Max

Alibaba

79.4/100

Supported · Public rank #7

90% interval 77.1–81.7

Decision reading

Qwen3.8 Max has the higher public score, 79.4 versus 46.88, and the 90% score intervals do not overlap.

5 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

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    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

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Granite 4.2 8B does not fit this workload in one request. Granite 4.2 8B has no comparable published API token rate. Qwen3.8 Max has no comparable published API token rate.

    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
5
Granite 4.2 8B only
9
Qwen3.8 Max only
49
Like-for-like categories
1 / 8

2 categories use 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
Granite 4.2 8B
79.3
Qwen3.8 Max
82.8
Weighted basis
1 vs 1 rows
Reading
Qwen3.8 Max leads

Coding

Directional only
Granite 4.2 8B
36.5
Qwen3.8 Max
67.7
Weighted basis
3 vs 1 rows
Reading
Directional only

Knowledge

Directional only
Granite 4.2 8B
72.2
Qwen3.8 Max
50.2
Weighted basis
2 vs 2 rows
Reading
Directional only

Agentic

Not comparable
Granite 4.2 8B
Not measured
Qwen3.8 Max
86.1
Weighted basis
0 vs 1 rows
Reading
Not comparable

Reasoning

Not comparable
Granite 4.2 8B
Not measured
Qwen3.8 Max
78.3
Weighted basis
0 vs 2 rows
Reading
Not comparable

Math

Not comparable
Granite 4.2 8B
Not measured
Qwen3.8 Max
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Granite 4.2 8B
Not measured
Qwen3.8 Max
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Granite 4.2 8B
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

Granite 4.2 8B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.8 Max
API rate not published
Fits in one request

Granite 4.2 8B 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

Granite 4.2 8B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.8 Max
API rate not published
Fits in one request

Granite 4.2 8B 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

Granite 4.2 8B
Self-hosted; infrastructure cost varies
Does not fit in one request
Cached-input rate unavailable
Qwen3.8 Max
API rate not published
Fits in one request
Cached-input rate unavailable

Granite 4.2 8B does not fit this workload in one request. Granite 4.2 8B 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

Granite 4.2 8B

Not sourced

Qwen3.8 Max

Not sourced

Documented outputs

Granite 4.2 8B

Not sourced

Qwen3.8 Max

Not sourced

Provider availability

Granite 4.2 8B

Not sourced

Qwen3.8 Max

Not sourced

Reasoning profile

Granite 4.2 8B

Reasoning

Qwen3.8 Max

Reasoning

Weight access

Granite 4.2 8B

Open Weight

Qwen3.8 Max

Open Weight

License

Granite 4.2 8B

Open Weight

Qwen3.8 Max

Open Weight

Release date

Granite 4.2 8B

2026-08-25

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
Qwen3.8 Max has the higher public score, 79.4 versus 46.88, and the 90% score intervals do not overlap.
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 evidence63 rows

Agentic

  • Terminal-Bench 2.1

    Granite 4.2 8B20.6%
    Source
    Qwen3.8 Max86.6%
    Source

    Qwen3.8 Max leads this result

  • τ³-bench results

    Granite 4.2 8B58.1%
    Source
    Qwen3.8 Max

    Not directly comparable

  • BFCL v4

    Granite 4.2 8B52.4%
    Source
    Qwen3.8 Max

    Not directly comparable

  • CoWorkBench

    Granite 4.2 8B
    Qwen3.8 Max74.8%
    Source

    Not directly comparable

  • JobBench

    Granite 4.2 8B
    Qwen3.8 Max53.4%
    Source

    Not directly comparable

  • skillsBench

    Granite 4.2 8B
    Qwen3.8 Max70.2%
    Source

    Not directly comparable

  • Agents' Last Exam

    Granite 4.2 8B
    Qwen3.8 Max52.4%
    Source

    Not directly comparable

  • AutomationBench

    Granite 4.2 8B
    Qwen3.8 Max27.3%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Granite 4.2 8B
    Qwen3.8 Max72.5%
    Source

    Not directly comparable

  • WideResearch

    Granite 4.2 8B
    Qwen3.8 Max81.9%
    Source

    Not directly comparable

  • HLE w/ tools

    Granite 4.2 8B
    Qwen3.8 Max56.2%
    Source

    Not directly comparable

  • OSWorld-Verified

    Granite 4.2 8B
    Qwen3.8 Max86.1%
    Source

    Not directly comparable

  • OSWorld 2.0

    Granite 4.2 8B
    Qwen3.8 Max19.4%
    Source

    Not directly comparable

  • WebArena-Verified

    Granite 4.2 8B
    Qwen3.8 Max66.8%
    Source

    Not directly comparable

  • AndroidWorld

    Granite 4.2 8B
    Qwen3.8 Max85.3%
    Source

    Not directly comparable

  • MobileWorld

    Granite 4.2 8B
    Qwen3.8 Max77.8%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Granite 4.2 8B47.7%
    Source
    Qwen3.8 Max

    Not directly comparable

  • SWE-bench Pro

    Granite 4.2 8B19.1%
    Source
    Qwen3.8 Max67.7%
    Source

    Qwen3.8 Max leads this result

  • SWE Multilingual

    Granite 4.2 8B30.8%
    Source
    Qwen3.8 Max

    Not directly comparable

  • Terminal-Bench 2.1

    Granite 4.2 8B20.6%
    Source
    Qwen3.8 Max86.6%
    Source

    Qwen3.8 Max leads this result

  • LiveCodeBench v6

    Granite 4.2 8B73.2%
    Source
    Qwen3.8 Max

    Not directly comparable

  • SciCode

    Granite 4.2 8B36.1%
    Source
    Qwen3.8 Max

    Not directly comparable

  • deepSwe

    Granite 4.2 8B
    Qwen3.8 Max56.6%
    Source

    Not directly comparable

  • NL2Repo

    Granite 4.2 8B
    Qwen3.8 Max55.9%
    Source

    Not directly comparable

  • FrontierSWE

    Granite 4.2 8B
    Qwen3.8 Max73.5%
    Source

    Not directly comparable

  • MLS-Bench Lite

    Granite 4.2 8B
    Qwen3.8 Max41.0%
    Source

    Not directly comparable

  • PaperBench

    Granite 4.2 8B
    Qwen3.8 Max93.0%
    Source

    Not directly comparable

  • VulcanBench v3

    Granite 4.2 8B
    Qwen3.8 Max81.2%
    Source

    Not directly comparable

  • OpenHarmony Bench

    Granite 4.2 8B
    Qwen3.8 Max60.8%
    Source

    Not directly comparable

Reasoning

  • MRCRv2

    Granite 4.2 8B
    Qwen3.8 Max92.9%
    Source

    Not directly comparable

  • LongBench v2

    Granite 4.2 8B
    Qwen3.8 Max66.3%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Granite 4.2 8B64.1%
    Source
    Qwen3.8 Max92.6%
    Source

    Qwen3.8 Max leads this result

  • MMLU-Pro

    Granite 4.2 8B74.0%
    Source
    Qwen3.8 Max

    Not directly comparable

  • GPQA-D

    Granite 4.2 8B
    Qwen3.8 Max92.6%
    Source

    Not directly comparable

  • HLE

    Granite 4.2 8B
    Qwen3.8 Max43.6%
    Source

    Not directly comparable

  • HLE w/o tools

    Granite 4.2 8B
    Qwen3.8 Max43.6%
    Source

    Not directly comparable

Math

  • AIME 2025

    Granite 4.2 8B86.7%
    Source
    Qwen3.8 Max

    Not directly comparable

  • HMMT Feb 2025

    Granite 4.2 8B78.3%
    Source
    Qwen3.8 Max

    Not directly comparable

Multimodal

  • MMMU-Pro

    Granite 4.2 8B
    Qwen3.8 Max82.3%
    Source

    Not directly comparable

  • MathVision

    Granite 4.2 8B
    Qwen3.8 Max95.2%
    Source

    Not directly comparable

  • MathVision w/ Python

    Granite 4.2 8B
    Qwen3.8 Max97.7%
    Source

    Not directly comparable

  • BabyVision

    Granite 4.2 8B
    Qwen3.8 Max82.0%
    Source

    Not directly comparable

  • BabyVision w/ Python

    Granite 4.2 8B
    Qwen3.8 Max91.3%
    Source

    Not directly comparable

  • ZeroBench

    Granite 4.2 8B
    Qwen3.8 Max24.0%
    Source

    Not directly comparable

  • ZeroBench w/ Python

    Granite 4.2 8B
    Qwen3.8 Max49.0%
    Source

    Not directly comparable

  • MedXpertQA (MM)

    Granite 4.2 8B
    Qwen3.8 Max80.4%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Granite 4.2 8B
    Qwen3.8 Max84.5%
    Source

    Not directly comparable

  • Vision2Web

    Granite 4.2 8B
    Qwen3.8 Max69.0%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Granite 4.2 8B
    Qwen3.8 Max88.4%
    Source

    Not directly comparable

  • CharXiv

    Granite 4.2 8B
    Qwen3.8 Max93.5%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    Granite 4.2 8B
    Qwen3.8 Max92.1%
    Source

    Not directly comparable

  • OCRBench V2

    Granite 4.2 8B
    Qwen3.8 Max74.2%
    Source

    Not directly comparable

  • CC-OCR

    Granite 4.2 8B
    Qwen3.8 Max79.6%
    Source

    Not directly comparable

  • RealWorldQA

    Granite 4.2 8B
    Qwen3.8 Max88.0%
    Source

    Not directly comparable

  • ERQA

    Granite 4.2 8B
    Qwen3.8 Max77.8%
    Source

    Not directly comparable

  • SimpleVQA

    Granite 4.2 8B
    Qwen3.8 Max75.0%
    Source

    Not directly comparable

  • PerceptionBench

    Granite 4.2 8B
    Qwen3.8 Max63.5%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    Granite 4.2 8B
    Qwen3.8 Max90.4%
    Source

    Not directly comparable

  • VideoMMMU

    Granite 4.2 8B
    Qwen3.8 Max88.7%
    Source

    Not directly comparable

  • MMVU

    Granite 4.2 8B
    Qwen3.8 Max82.4%
    Source

    Not directly comparable

  • MLVU (M-Avg)

    Granite 4.2 8B
    Qwen3.8 Max90.8%
    Source

    Not directly comparable

  • LVBench

    Granite 4.2 8B
    Qwen3.8 Max81.8%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Granite 4.2 8B79.3%
    Source
    Qwen3.8 Max82.8%
    Source

    Qwen3.8 Max leads this result

Frequently asked questions

Which is better, Granite 4.2 8B or Qwen3.8 Max?

Qwen3.8 Max has the higher public score, 79.4 versus 46.88, 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, Granite 4.2 8B or Qwen3.8 Max?

The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Granite 4.2 8B 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, Granite 4.2 8B 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, Granite 4.2 8B or Qwen3.8 Max?

Qwen3.8 Max has the larger documented context window: 1M, compared with 128K.

Related comparisons

Last updated August 31, 2026

Watch Granite 4.2 8B 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.