Granite 4.2 8B vs Llama-3.1-8B

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 4.2 8BVerified Sep 2, 2026
Meta · activeLlama-3.1-8BVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGranite 4.2 8BLlama-3.1-8B
DeveloperIBMMeta
FamilyGranite 4 2Llama 3 1 8b
ModelGranite 4.2 8BLlama-3.1-8B
VersionGranite 4.2 8BLlama-3.1-8B
Lifecycleactiveactive
Released2026-08-252024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131,072131,072
Total parameters8,791,592,9608,030,261,248
Active parametersUnknownUnknown
Licenseapache-2.0llama3.1
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Openrouter (Standard)Hugging Face (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolsgeneration

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

Granite 4.2 8B Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.060
Output price$0.15
Serving providers2
Canonical IDibm-granite/granite-4.2-8b

Llama-3.1-8B Capabilities

generation
Input price
Output price
Serving providers1
Canonical IDmeta-llama/Llama-3.1-8B

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Granite 4.2 8B vs Llama-3.1-8B FAQs

Is Granite 4.2 8B or Llama-3.1-8B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 8B and Llama-3.1-8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.2 8B or Llama-3.1-8B?+

Only Granite 4.2 8B has a directly sourced input price: $0.060 per million tokens. Only Granite 4.2 8B has a directly sourced output price: $0.15 per million tokens.

Which has a larger context window, Granite 4.2 8B or Llama-3.1-8B?+

Neither model has a larger sourced context window in this comparison. Granite 4.2 8B is 131,072 and Llama-3.1-8B is 131,072.

Which performs better in benchmarks, Granite 4.2 8B or Llama-3.1-8B?+

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

Can Granite 4.2 8B or Llama-3.1-8B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite 4.2 8B is open weight; Llama-3.1-8B is open weight.

Can Granite 4.2 8B and Llama-3.1-8B understand images?+

Granite 4.2 8B is not documented with image input; Llama-3.1-8B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.2 8B or Llama-3.1-8B?+

Neither has a larger sourced maximum output. Granite 4.2 8B is — and Llama-3.1-8B is —.

Do Granite 4.2 8B and Llama-3.1-8B support reasoning and tool use?+

Granite 4.2 8B: reasoning and tool calling. Llama-3.1-8B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.2 8B or Llama-3.1-8B?+

Granite 4.2 8B has 2 sourced provider routes; Llama-3.1-8B has 1, so Granite 4.2 8B has broader tracked availability.

Which offers better value, Granite 4.2 8B or Llama-3.1-8B?+

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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