Granite 4.1 3B vs Llama 4 Maverick 17B 128E Instruct

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
IBM · activeGranite 4.1 3BVerified Aug 28, 2026
Meta · activeLlama 4 Maverick 17B 128E InstructVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
Fieldgranite-4.1-3bLlama-4-Maverick-17B-128E-Instruct
DeveloperIBMMeta
FamilyGranite 4 1 3bLlama 4 Maverick 17b 128e Instruct
Modelgranite-4.1-3bLlama-4-Maverick-17B-128E-Instruct
Versiongranite-4.1-3bLlama-4-Maverick-17B-128E-Instruct
Lifecycleactiveactive
Released2026-04-292025-04-05
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window131K1,000K
Total parameters3.4B401.6B
Active parametersUnknown17B
Licenseapache-2.0other
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownOpenrouter (Standard)
Capabilitieschat, generation, toolschat, generation, tools

14 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Granite 4.1 3B Capabilities

chatgenerationtools
Input price
Output price
Serving providers0
Canonical IDibm-granite/granite-4.1-3b

Llama 4 Maverick 17B 128E Instruct Capabilities

chatgenerationtools
Input price$0.20
Output price$0.696
Serving providers1
Canonical IDmeta-llama/Llama-4-Maverick-17B-128E-Instruct

Internal Comparison Graph

Related Comparisons

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APairBContext
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Primary Evidence

Sources and Freshness

Questions

Granite 4.1 3B vs Llama 4 Maverick 17B 128E Instruct FAQs

Is Granite 4.1 3B or Llama 4 Maverick 17B 128E Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.1 3B and Llama 4 Maverick 17B 128E Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.1 3B or Llama 4 Maverick 17B 128E Instruct?+

Only Llama 4 Maverick 17B 128E Instruct has a directly sourced input price: $0.20 per million tokens. Only Llama 4 Maverick 17B 128E Instruct has a directly sourced output price: $0.696 per million tokens.

Which has a larger context window, Granite 4.1 3B or Llama 4 Maverick 17B 128E Instruct?+

Llama 4 Maverick 17B 128E Instruct has the larger sourced context window. Granite 4.1 3B supports 131K and Llama 4 Maverick 17B 128E Instruct supports 1,000K.

Which performs better in benchmarks, Granite 4.1 3B or Llama 4 Maverick 17B 128E Instruct?+

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

Can Granite 4.1 3B or Llama 4 Maverick 17B 128E Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite 4.1 3B is open weight; Llama 4 Maverick 17B 128E Instruct is open weight.

Can Granite 4.1 3B and Llama 4 Maverick 17B 128E Instruct understand images?+

Granite 4.1 3B is not documented with image input; Llama 4 Maverick 17B 128E Instruct is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.1 3B or Llama 4 Maverick 17B 128E Instruct?+

Neither has a larger sourced maximum output. Granite 4.1 3B is — and Llama 4 Maverick 17B 128E Instruct is —.

Do Granite 4.1 3B and Llama 4 Maverick 17B 128E Instruct support reasoning and tool use?+

Granite 4.1 3B: tool calling. Llama 4 Maverick 17B 128E Instruct: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.1 3B or Llama 4 Maverick 17B 128E Instruct?+

Granite 4.1 3B has 0 sourced provider routes; Llama 4 Maverick 17B 128E Instruct has 1, so Llama 4 Maverick 17B 128E Instruct has broader tracked availability.

Which offers better value, Granite 4.1 3B or Llama 4 Maverick 17B 128E Instruct?+

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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