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Radar

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

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Model A
Gemini 3.5 Flash

Google

64.95/100

Estimated · Public rank #42

90% interval 54.6–75.3

Gemini 3.5 Flash vs Granite 4.2 8B

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

IBM logo
Model B
Granite 4.2 8B

IBM

46.88/100

Estimated · Public rank #162

90% interval 35.4–58.4

Decision reading

Gemini 3.5 Flash has the higher public score estimate, 64.95 versus 46.88, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

1 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

    Gemini 3.5 Flash

    Gemini 3.5 Flash 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.

    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
Gemini 3.5 Flash only
21
Granite 4.2 8B only
13
Like-for-like categories
0 / 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.

Coding

Directional only
Gemini 3.5 Flash
55.1
Granite 4.2 8B
36.5
Weighted basis
1 vs 3 rows
Reading
Directional only

Agentic

Not comparable
Gemini 3.5 Flash
77.2
Granite 4.2 8B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Gemini 3.5 Flash
74.7
Granite 4.2 8B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Gemini 3.5 Flash
40.2
Granite 4.2 8B
72.2
Weighted basis
1 vs 2 rows
Reading
Not comparable

Math

Not comparable
Gemini 3.5 Flash
32.9
Granite 4.2 8B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Gemini 3.5 Flash
Not measured
Granite 4.2 8B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Gemini 3.5 Flash
83.8
Granite 4.2 8B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Gemini 3.5 Flash
Not measured
Granite 4.2 8B
79.3
Weighted basis
0 vs 1 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

Gemini 3.5 Flash
$0.006
Fits in one request
Granite 4.2 8B
Self-hosted; infrastructure cost varies
Fits in one request

Granite 4.2 8B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Gemini 3.5 Flash
$0.102
Fits in one request
Granite 4.2 8B
Self-hosted; infrastructure cost varies
Fits in one request

Granite 4.2 8B has no comparable published API token rate.

Cache-heavy agent loop

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

Gemini 3.5 Flash
$0.15
Fits in one request
Granite 4.2 8B
Self-hosted; infrastructure cost varies
Does not fit 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.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Documented inputs

Gemini 3.5 Flash

Not sourced

Granite 4.2 8B

Not sourced

Documented outputs

Gemini 3.5 Flash

Not sourced

Granite 4.2 8B

Not sourced

Provider availability

Gemini 3.5 Flash

Not sourced

Granite 4.2 8B

Not sourced

Reasoning profile

Gemini 3.5 Flash

Reasoning

Granite 4.2 8B

Reasoning

Weight access

Gemini 3.5 Flash

Proprietary

Granite 4.2 8B

Open Weight

License

Gemini 3.5 Flash

Proprietary

Granite 4.2 8B

Open Weight

Release date

Gemini 3.5 Flash

2026-05-19

Granite 4.2 8B

2026-08-25

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
Gemini 3.5 Flash has the higher public score estimate, 64.95 versus 46.88, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Gemini 3.5 Flash 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 evidence35 rows

Agentic

  • Terminal-Bench 2.0

    Gemini 3.5 Flash76.2%
    Source
    Granite 4.2 8B

    Not directly comparable

  • MCP Atlas

    Gemini 3.5 Flash83.6%
    Source
    Granite 4.2 8B

    Not directly comparable

  • Toolathlon

    Gemini 3.5 Flash56.5%
    Source
    Granite 4.2 8B

    Not directly comparable

  • OSWorld-Verified

    Gemini 3.5 Flash78.4%
    Source
    Granite 4.2 8B

    Not directly comparable

  • Finance Agent v2

    Gemini 3.5 Flash57.9%
    Source
    Granite 4.2 8B

    Not directly comparable

  • Gert Labs

    Gemini 3.5 Flash61.85%
    Source
    Granite 4.2 8B

    Not directly comparable

  • ResearchClawBench

    Gemini 3.5 Flash18.0%
    Source
    Granite 4.2 8B

    Not directly comparable

  • Terminal-Bench 2.1

    Gemini 3.5 Flash
    Granite 4.2 8B20.6%
    Source

    Not directly comparable

  • τ³-bench results

    Gemini 3.5 Flash
    Granite 4.2 8B58.1%
    Source

    Not directly comparable

  • BFCL v4

    Gemini 3.5 Flash
    Granite 4.2 8B52.4%
    Source

    Not directly comparable

Coding

  • Terminal-Bench 2.0

    Gemini 3.5 Flash76.2%
    Source
    Granite 4.2 8B

    Not directly comparable

  • SWE-bench Pro

    Gemini 3.5 Flash55.1%
    Source
    Granite 4.2 8B19.1%
    Source

    Gemini 3.5 Flash leads this result

  • Vibe Code Bench

    Gemini 3.5 Flash48.68%
    Source
    Granite 4.2 8B

    Not directly comparable

  • cursorBench31

    Gemini 3.5 Flash49.8%
    Source
    Granite 4.2 8B

    Not directly comparable

  • cursorBench32

    Gemini 3.5 Flash48.8%
    Source
    Granite 4.2 8B

    Not directly comparable

  • SWE-bench Verified

    Gemini 3.5 Flash
    Granite 4.2 8B47.7%
    Source

    Not directly comparable

  • SWE Multilingual

    Gemini 3.5 Flash
    Granite 4.2 8B30.8%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Gemini 3.5 Flash
    Granite 4.2 8B20.6%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Gemini 3.5 Flash
    Granite 4.2 8B73.2%
    Source

    Not directly comparable

  • SciCode

    Gemini 3.5 Flash
    Granite 4.2 8B36.1%
    Source

    Not directly comparable

Reasoning

  • MRCRv2

    Gemini 3.5 Flash77.3%
    Source
    Granite 4.2 8B

    Not directly comparable

  • MRCR 1M

    Gemini 3.5 Flash26.6%
    Source
    Granite 4.2 8B

    Not directly comparable

  • ARC-AGI-2

    Gemini 3.5 Flash72.1%
    Source
    Granite 4.2 8B

    Not directly comparable

Knowledge

  • GPQA-D

    Gemini 3.5 Flash92.7%
    Source
    Granite 4.2 8B

    Not directly comparable

  • HLE

    Gemini 3.5 Flash40.2%
    Source
    Granite 4.2 8B

    Not directly comparable

  • GPQA

    Gemini 3.5 Flash
    Granite 4.2 8B64.1%
    Source

    Not directly comparable

  • MMLU-Pro

    Gemini 3.5 Flash
    Granite 4.2 8B74.0%
    Source

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Gemini 3.5 Flash38.966%
    Source
    Granite 4.2 8B

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Gemini 3.5 Flash14.583%
    Source
    Granite 4.2 8B

    Not directly comparable

  • AIME 2025

    Gemini 3.5 Flash
    Granite 4.2 8B86.7%
    Source

    Not directly comparable

  • HMMT Feb 2025

    Gemini 3.5 Flash
    Granite 4.2 8B78.3%
    Source

    Not directly comparable

Multimodal

  • CharXiv

    Gemini 3.5 Flash84.2%
    Source
    Granite 4.2 8B

    Not directly comparable

  • MMMU-Pro

    Gemini 3.5 Flash83.6%
    Source
    Granite 4.2 8B

    Not directly comparable

  • Blueprint-Bench 2

    Gemini 3.5 Flash33.6%
    Source
    Granite 4.2 8B

    Not directly comparable

Instruction following

  • IFBench

    Gemini 3.5 Flash
    Granite 4.2 8B79.3%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Gemini 3.5 Flash or Granite 4.2 8B?

Gemini 3.5 Flash has the higher public score estimate, 64.95 versus 46.88, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Gemini 3.5 Flash or Granite 4.2 8B?

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, Gemini 3.5 Flash or Granite 4.2 8B?

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, Gemini 3.5 Flash or Granite 4.2 8B?

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, Gemini 3.5 Flash or Granite 4.2 8B?

Gemini 3.5 Flash has the larger documented context window: 1M, compared with 128K.

Related comparisons

Last updated August 31, 2026

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