Llama 3.1 405B vs Grok 4.5

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#25 of 4660.1 score · 3/3 sources · complete
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#15 of 44$0.063 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#11 of 3859.2 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$2.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$6.00Xai · Sep 3, 2026
Context windowMaximum documented tokens131K500K
Model facts checkedAug 28, 2026View model evidence →Sep 3, 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

FieldLlama-3.1-405BGrok 4.5
DeveloperMetaxAI
FamilyLlama 3 1 405bGrok 4
ModelLlama-3.1-405BGrok 4.5
VersionLlama-3.1-405BGrok 4.5
Lifecycleactiveactive
Released2024-07-232026-07-16
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window131K500K
Total parameters405.9BUnknown
Active parametersUnknownUnknown
Licensellama3.1Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessTogether Ai (Standard)Xai (Standard)
Capabilitiesgenerationchat, generation, reasoning, structured_outputs, tools

Llama 3.1 405B Capabilities

generation
Serving providers1
Canonical IDmeta-llama/Llama-3.1-405B

Grok 4.5 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDxai/grok-4.5

Primary Evidence

Sources and Freshness

Questions

Llama 3.1 405B vs Grok 4.5 FAQs

Is Llama 3.1 405B or Grok 4.5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 405B and Grok 4.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Llama 3.1 405B or Grok 4.5?+

Only Grok 4.5 has a directly sourced input price: $2.00 per million tokens. Only Grok 4.5 has a directly sourced output price: $6.00 per million tokens.

Which has a larger context window, Llama 3.1 405B or Grok 4.5?+

Grok 4.5 has the larger sourced context window. Llama 3.1 405B supports 131K and Grok 4.5 supports 500K.

Which performs better in benchmarks, Llama 3.1 405B or Grok 4.5?+

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

Can Llama 3.1 405B or Grok 4.5 be self-hosted?+

Llama 3.1 405B is the only model in this pair currently marked as self-hostable. Llama 3.1 405B is open weight; Grok 4.5 is not marked open weight.

Can Llama 3.1 405B and Grok 4.5 understand images?+

Llama 3.1 405B is not documented with image input; Grok 4.5 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Llama 3.1 405B or Grok 4.5?+

Neither has a larger sourced maximum output. Llama 3.1 405B is — and Grok 4.5 is —.

Do Llama 3.1 405B and Grok 4.5 support reasoning and tool use?+

Llama 3.1 405B: none of these features are definitively sourced. Grok 4.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Llama 3.1 405B or Grok 4.5?+

Llama 3.1 405B has 1 sourced provider route; Grok 4.5 has 1, a tie.

Which offers better value, Llama 3.1 405B or Grok 4.5?+

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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