Granite Guardian 4.1 8B vs Llama 3.1 8B Instruct

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.050Openrouter ↗ · Oct 19, 2026
Output priceFrom · USD / 1M tokensNot reported$0.080Openrouter ↗ · Oct 19, 2026
Context windowMaximum documented tokens131K131K
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 →

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-guardian-4.1-8bLlama-3.1-8B-Instruct
DeveloperIBMMeta
FamilyGranite Guardian 4 1 8bLlama 3 1 8b Instruct
Modelgranite-guardian-4.1-8bLlama-3.1-8B-Instruct
Versiongranite-guardian-4.1-8bLlama-3.1-8B-Instruct
Lifecycleactiveactive
ReleasedUnknown2024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K131K
Total parameters8.4B8B
Active parametersUnknownUnknown
Licenseapache-2.0llama3.1
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownHugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, toolschat, generation, tools

Granite Guardian 4.1 8B Capabilities

chatgenerationtools
Serving providers0
Canonical IDibm-granite/granite-guardian-4.1-8b

Llama 3.1 8B Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmeta-llama/Llama-3.1-8B-Instruct

Primary Evidence

Sources and Freshness

Questions

Granite Guardian 4.1 8B vs Llama 3.1 8B Instruct FAQs

Is Granite Guardian 4.1 8B or Llama 3.1 8B Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite Guardian 4.1 8B and Llama 3.1 8B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite Guardian 4.1 8B or Llama 3.1 8B Instruct?+

Only Llama 3.1 8B Instruct has a directly sourced input price: $0.050 per million tokens. Only Llama 3.1 8B Instruct has a directly sourced output price: $0.080 per million tokens.

Which has a larger context window, Granite Guardian 4.1 8B or Llama 3.1 8B Instruct?+

Both models have the same sourced context window: 131,072 tokens each.

Which performs better in benchmarks, Granite Guardian 4.1 8B or Llama 3.1 8B Instruct?+

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

Can Granite Guardian 4.1 8B or Llama 3.1 8B Instruct be self-hosted?+

Both models have the same sourced self-hosting status: supported. Granite Guardian 4.1 8B is open weight; Llama 3.1 8B Instruct is open weight.

Can Granite Guardian 4.1 8B and Llama 3.1 8B Instruct understand images?+

Granite Guardian 4.1 8B is not documented with image input; Llama 3.1 8B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite Guardian 4.1 8B or Llama 3.1 8B Instruct?+

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Do Granite Guardian 4.1 8B and Llama 3.1 8B Instruct support reasoning and tool use?+

Granite Guardian 4.1 8B: tool calling. Llama 3.1 8B Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Granite Guardian 4.1 8B or Llama 3.1 8B Instruct?+

Granite Guardian 4.1 8B has 0 sourced provider routes; Llama 3.1 8B Instruct has 2, so Llama 3.1 8B Instruct has broader tracked availability.

Which offers better value, Granite Guardian 4.1 8B or Llama 3.1 8B 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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