Llama 3.1 70B vs Grok Build 0.1

At a Glance

Compare
Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#1 of 44$0.0020 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$1.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$2.00Xai · Sep 3, 2026
Context windowMaximum documented tokens131K256K
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-3.1-70BGrok Build 0.1
DeveloperMetaxAI
FamilyLlama 3 1 70bGrok Build
ModelLlama-3.1-70BGrok Build 0.1
VersionLlama-3.1-70BGrok Build 0.1
Lifecycleactivepreview
Released2024-07-232026-05-29
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window131K256K
Total parameters70.6BUnknown
Active parametersUnknownUnknown
Licensellama3.1Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard)Xai (Standard)
Capabilitiesgenerationchat, generation, reasoning, structured_outputs, tools

Llama 3.1 70B Capabilities

generation
Serving providers1
Canonical IDmeta-llama/Llama-3.1-70B

Grok Build 0.1 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDxai/grok-build-0.1

Primary Evidence

Sources and Freshness

Questions

Llama 3.1 70B vs Grok Build 0.1 FAQs

Is Llama 3.1 70B or Grok Build 0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 70B and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Llama 3.1 70B or Grok Build 0.1?+

Only Grok Build 0.1 has a directly sourced input price: $1.00 per million tokens. Only Grok Build 0.1 has a directly sourced output price: $2.00 per million tokens.

Which has a larger context window, Llama 3.1 70B or Grok Build 0.1?+

Grok Build 0.1 has the larger sourced context window. Llama 3.1 70B supports 131K and Grok Build 0.1 supports 256K.

Which performs better in benchmarks, Llama 3.1 70B or Grok Build 0.1?+

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

Can Llama 3.1 70B or Grok Build 0.1 be self-hosted?+

Llama 3.1 70B is the only model in this pair currently marked as self-hostable. Llama 3.1 70B is open weight; Grok Build 0.1 is not marked open weight.

Can Llama 3.1 70B and Grok Build 0.1 understand images?+

Llama 3.1 70B is not documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Llama 3.1 70B or Grok Build 0.1?+

Neither has a larger sourced maximum output. Llama 3.1 70B is — and Grok Build 0.1 is —.

Do Llama 3.1 70B and Grok Build 0.1 support reasoning and tool use?+

Llama 3.1 70B: none of these features are definitively sourced. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Llama 3.1 70B or Grok Build 0.1?+

Llama 3.1 70B has 1 sourced provider route; Grok Build 0.1 has 1, a tie.

Which offers better value, Llama 3.1 70B or Grok Build 0.1?+

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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