Granite 4.1 30B vs Stable Diffusion 3.5 Medium

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens131K0K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

Fieldgranite-4.1-30bstable-diffusion-3.5-medium
DeveloperIBMStability AI
FamilyGranite 4 1 30bStable Diffusion 3 5 Medium
Modelgranite-4.1-30bstable-diffusion-3.5-medium
Versiongranite-4.1-30bstable-diffusion-3.5-medium
Lifecycleactiveactive
Released2026-04-292024-10-29
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextImage
Context window131K0K
Total parameters28.9B2.5B
Active parametersUnknownUnknown
Licenseapache-2.0other
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownHugging Face (Standard), Stability AI (Pay as you go)
Capabilitieschat, generation, toolsgeneration

Granite 4.1 30B Capabilities

chatgenerationtools
Serving providers0
Canonical IDibm-granite/granite-4.1-30b

Stable Diffusion 3.5 Medium Capabilities

generation
Serving providers2
Canonical IDstabilityai/stable-diffusion-3.5-medium

Primary Evidence

Sources and Freshness

Questions

Granite 4.1 30B vs Stable Diffusion 3.5 Medium FAQs

Is Granite 4.1 30B or Stable Diffusion 3.5 Medium better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.1 30B and Stable Diffusion 3.5 Medium, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.1 30B or Stable Diffusion 3.5 Medium?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, Granite 4.1 30B or Stable Diffusion 3.5 Medium?+

Granite 4.1 30B has the larger sourced context window. Granite 4.1 30B supports 131K and Stable Diffusion 3.5 Medium supports 0K.

Which performs better in benchmarks, Granite 4.1 30B or Stable Diffusion 3.5 Medium?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Granite 4.1 30B or Stable Diffusion 3.5 Medium be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite 4.1 30B is open weight; Stable Diffusion 3.5 Medium is open weight.

Can Granite 4.1 30B and Stable Diffusion 3.5 Medium understand images?+

Granite 4.1 30B is not documented with image input; Stable Diffusion 3.5 Medium is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.1 30B or Stable Diffusion 3.5 Medium?+

Neither has a larger sourced maximum output. Granite 4.1 30B is — and Stable Diffusion 3.5 Medium is —.

Do Granite 4.1 30B and Stable Diffusion 3.5 Medium support reasoning and tool use?+

Granite 4.1 30B: tool calling. Stable Diffusion 3.5 Medium: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.1 30B or Stable Diffusion 3.5 Medium?+

Granite 4.1 30B has 0 sourced provider routes; Stable Diffusion 3.5 Medium has 2, so Stable Diffusion 3.5 Medium has broader tracked availability.

Which offers better value, Granite 4.1 30B or Stable Diffusion 3.5 Medium?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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