Granite Vision 4.1 4B vs Sonar Deep Research

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$2.00Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$8.00Openrouter · Sep 22, 2026
Context windowMaximum documented tokens131K128K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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 →

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-vision-4.1-4bSonar Deep Research
DeveloperIBMPerplexity
FamilyGranite Vision 4 1 4bSonar
Modelgranite-vision-4.1-4bSonar Deep Research
Versiongranite-vision-4.1-4bSonar Deep Research
Lifecycleactiveactive
Released2026-04-29Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window131K128K
Total parameters4BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownOpenrouter (Standard), Perplexity (Standard)
Capabilitieschat, generation, toolschat, citations, reasoning, research, search

Granite Vision 4.1 4B Capabilities

chatgenerationtools
Serving providers0
Canonical IDibm-granite/granite-vision-4.1-4b

Sonar Deep Research Capabilities

chatcitationsreasoningresearchsearch
Serving providers2
Canonical IDperplexity/sonar-deep-research

Primary Evidence

Sources and Freshness

Questions

Granite Vision 4.1 4B vs Sonar Deep Research FAQs

Is Granite Vision 4.1 4B or Sonar Deep Research better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite Vision 4.1 4B and Sonar Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite Vision 4.1 4B or Sonar Deep Research?+

Only Sonar Deep Research has a directly sourced input price: $2.00 per million tokens. Only Sonar Deep Research has a directly sourced output price: $8.00 per million tokens.

Which has a larger context window, Granite Vision 4.1 4B or Sonar Deep Research?+

Granite Vision 4.1 4B has the larger sourced context window. Granite Vision 4.1 4B supports 131K and Sonar Deep Research supports 128K.

Which performs better in benchmarks, Granite Vision 4.1 4B or Sonar Deep Research?+

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

Can Granite Vision 4.1 4B or Sonar Deep Research be self-hosted?+

Granite Vision 4.1 4B is the only model in this pair currently marked as self-hostable. Granite Vision 4.1 4B is open weight; Sonar Deep Research is not marked open weight.

Can Granite Vision 4.1 4B and Sonar Deep Research understand images?+

Granite Vision 4.1 4B is documented with image input; Sonar Deep Research is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite Vision 4.1 4B or Sonar Deep Research?+

Neither has a larger sourced maximum output. Granite Vision 4.1 4B is — and Sonar Deep Research is —.

Do Granite Vision 4.1 4B and Sonar Deep Research support reasoning and tool use?+

Granite Vision 4.1 4B: tool calling and image input. Sonar Deep Research: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Granite Vision 4.1 4B or Sonar Deep Research?+

Granite Vision 4.1 4B has 0 sourced provider routes; Sonar Deep Research has 2, so Sonar Deep Research has broader tracked availability.

Which offers better value, Granite Vision 4.1 4B or Sonar Deep Research?+

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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