Gemini 2.5 Pro vs Granite Vision 4.1 4B

At a Glance

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Gemini 2.5 ProGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$1.25Google AI · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$10.00Google AI · Aug 29, 2026Not reported
Context windowMaximum documented tokens1,049K131K
Model facts checkedAug 29, 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 →

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

FieldGemini 2.5 Progranite-vision-4.1-4b
DeveloperGoogle DeepMindIBM
FamilyGemini 2 5Granite Vision 4 1 4b
ModelGemini 2.5 Progranite-vision-4.1-4b
VersionGemini 2.5 Progranite-vision-4.1-4b
Lifecycleactiveactive
ReleasedUnknown2026-04-29
Knowledge cutoff2025-01-01Unknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image
Output modalitiesTextText
Context window1,049K131K
Total parametersUnknown4B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitieschat, generation, reasoning, toolschat, generation, tools

Gemini 2.5 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

Granite Vision 4.1 4B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Gemini 2.5 Pro vs Granite Vision 4.1 4B FAQs

Is Gemini 2.5 Pro or Granite Vision 4.1 4B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Pro and Granite Vision 4.1 4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 2.5 Pro or Granite Vision 4.1 4B?+

Only Gemini 2.5 Pro has a directly sourced input price: $1.25 per million tokens. Only Gemini 2.5 Pro has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, Gemini 2.5 Pro or Granite Vision 4.1 4B?+

Gemini 2.5 Pro has the larger sourced context window. Gemini 2.5 Pro supports 1,049K and Granite Vision 4.1 4B supports 131K.

Which performs better in benchmarks, Gemini 2.5 Pro or Granite Vision 4.1 4B?+

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

Can Gemini 2.5 Pro or Granite Vision 4.1 4B be self-hosted?+

Granite Vision 4.1 4B is the only model in this pair currently marked as self-hostable. Gemini 2.5 Pro is not marked open weight; Granite Vision 4.1 4B is open weight.

Can Gemini 2.5 Pro and Granite Vision 4.1 4B understand images?+

Gemini 2.5 Pro is documented with image input; Granite Vision 4.1 4B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 2.5 Pro or Granite Vision 4.1 4B?+

Neither has a larger sourced maximum output. Gemini 2.5 Pro is 66K and Granite Vision 4.1 4B is —.

Do Gemini 2.5 Pro and Granite Vision 4.1 4B support reasoning and tool use?+

Gemini 2.5 Pro: reasoning, tool calling, and image input. Granite Vision 4.1 4B: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 2.5 Pro or Granite Vision 4.1 4B?+

Gemini 2.5 Pro has 2 sourced provider routes; Granite Vision 4.1 4B has 0, so Gemini 2.5 Pro has broader tracked availability.

Which offers better value, Gemini 2.5 Pro or Granite Vision 4.1 4B?+

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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