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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 Inkling-Small

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

Thinking Machines Lab logo
Model B
Inkling-Small

Thinking Machines Lab

64.21/100

Supported · Public rank #45

90% interval 59.1–69.3

Decision reading

Inkling-Small has the higher public score, 64.21 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.

  • Coding work

    Code generation, repair, and software-engineering tasks

    Inkling-Small

    Inkling-Small leads on the same 3 weighted benchmark rows.

    Confidence: stronger

  • Long documents

    Prompts that approach the documented context limit

    Inkling-Small

    Inkling-Small has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls
  • 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
5
Granite 4.2 8B only
9
Inkling-Small only
15
Like-for-like categories
2 / 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

Like-for-like
Granite 4.2 8B
36.5
Inkling-Small
62.4
Weighted basis
3 vs 3 rows
Reading
Inkling-Small leads

Instruction following

Like-for-like
Granite 4.2 8B
79.3
Inkling-Small
82.2
Weighted basis
1 vs 1 rows
Reading
Inkling-Small leads

Knowledge

Directional only
Granite 4.2 8B
72.2
Inkling-Small
53.4
Weighted basis
2 vs 2 rows
Reading
Directional only

Agentic

Not comparable
Granite 4.2 8B
Not measured
Inkling-Small
70.1
Weighted basis
0 vs 2 rows
Reading
Not comparable

Reasoning

Not comparable
Granite 4.2 8B
Not measured
Inkling-Small
40.1
Weighted basis
0 vs 1 rows
Reading
Not comparable

Math

Not comparable
Granite 4.2 8B
Not measured
Inkling-Small
92.9
Weighted basis
0 vs 2 rows
Reading
Not comparable

Multilingual

Not comparable
Granite 4.2 8B
Not measured
Inkling-Small
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Granite 4.2 8B
Not measured
Inkling-Small
76.6
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
Inkling-Small
$0.0013
Fits in one request

Granite 4.2 8B 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
Inkling-Small
$0.03332
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

Granite 4.2 8B
Self-hosted; infrastructure cost varies
Does not fit in one request
Cached-input rate unavailable
Inkling-Small
$0.0492
Fits 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.

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.

Granite 4.2 8B

No comparable hosted API rate

IBM Granite 4.2 8B model card

Inkling-Small

$0.116 per 1M cached input tokens

Documented inputs

Granite 4.2 8B

Not sourced

Inkling-Small

Not sourced

Documented outputs

Granite 4.2 8B

Not sourced

Inkling-Small

Not sourced

Provider availability

Granite 4.2 8B

Not sourced

Inkling-Small

Not sourced

Reasoning profile

Granite 4.2 8B

Reasoning

Inkling-Small

Hybrid

Weight access

Granite 4.2 8B

Open Weight

Inkling-Small

Open Weight

License

Granite 4.2 8B

Open Weight

Inkling-Small

Open Weight

Release date

Granite 4.2 8B

2026-08-25

Inkling-Small

2026-07-30

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
Inkling-Small has the higher public score, 64.21 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
Inkling-Small 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 evidence29 rows

Agentic

  • Terminal-Bench 2.1

    Granite 4.2 8B20.6%
    Source
    Inkling-Small

    Not directly comparable

  • τ³-bench results

    Granite 4.2 8B58.1%
    Source
    Inkling-Small

    Not directly comparable

  • BFCL v4

    Granite 4.2 8B52.4%
    Source
    Inkling-Small

    Not directly comparable

  • Terminal-Bench 2.0

    Granite 4.2 8B
    Inkling-Small64.7%
    Source

    Not directly comparable

  • BrowseComp

    Granite 4.2 8B
    Inkling-Small77.4%
    Source

    Not directly comparable

  • MCP Atlas

    Granite 4.2 8B
    Inkling-Small79.6%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Granite 4.2 8B
    Inkling-Small54.4%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Granite 4.2 8B47.7%
    Source
    Inkling-Small80.2%
    Source

    Inkling-Small leads this result

  • SWE-bench Pro

    Granite 4.2 8B19.1%
    Source
    Inkling-Small55.9%
    Source

    Inkling-Small leads this result

  • SWE Multilingual

    Granite 4.2 8B30.8%
    Source
    Inkling-Small

    Not directly comparable

  • Terminal-Bench 2.1

    Granite 4.2 8B20.6%
    Source
    Inkling-Small

    Not directly comparable

  • LiveCodeBench v6

    Granite 4.2 8B73.2%
    Source
    Inkling-Small

    Not directly comparable

  • SciCode

    Granite 4.2 8B36.1%
    Source
    Inkling-Small48.7%
    Source

    Inkling-Small leads this result

  • Terminal-Bench 2.0

    Granite 4.2 8B
    Inkling-Small64.7%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Granite 4.2 8B
    Inkling-Small40.1%
    Source

    Not directly comparable

  • CritPt

    Granite 4.2 8B
    Inkling-Small8.3%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Granite 4.2 8B64.1%
    Source
    Inkling-Small89.5%
    Source

    Inkling-Small leads this result

  • MMLU-Pro

    Granite 4.2 8B74.0%
    Source
    Inkling-Small

    Not directly comparable

  • GPQA-D

    Granite 4.2 8B
    Inkling-Small89.5%
    Source

    Not directly comparable

  • HLE

    Granite 4.2 8B
    Inkling-Small47.8%
    Source

    Not directly comparable

  • HLE w/o tools

    Granite 4.2 8B
    Inkling-Small31.6%
    Source

    Not directly comparable

Math

  • AIME 2025

    Granite 4.2 8B86.7%
    Source
    Inkling-Small

    Not directly comparable

  • HMMT Feb 2025

    Granite 4.2 8B78.3%
    Source
    Inkling-Small

    Not directly comparable

  • AIME26

    Granite 4.2 8B
    Inkling-Small95.5%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Granite 4.2 8B
    Inkling-Small90.2%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Granite 4.2 8B
    Inkling-Small74%
    Source

    Not directly comparable

  • CharXiv

    Granite 4.2 8B
    Inkling-Small81.3%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Granite 4.2 8B
    Inkling-Small77.4%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Granite 4.2 8B79.3%
    Source
    Inkling-Small82.2%
    Source

    Inkling-Small leads this result

Frequently asked questions

Which is better, Granite 4.2 8B or Inkling-Small?

Inkling-Small has the higher public score, 64.21 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 Inkling-Small?

Inkling-Small leads the like-for-like coding comparison across 3 shared weighted benchmark rows.

Which is better for agentic tasks, Granite 4.2 8B or Inkling-Small?

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 Inkling-Small?

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 Inkling-Small?

Inkling-Small has the larger documented context window: 1M, compared with 128K.

Related comparisons

Last updated August 31, 2026

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