Llama 3.1 70B Instruct vs Hy4 preview

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.40Openrouter · Sep 22, 2026$0.834Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$0.40Openrouter · Sep 22, 2026$2.501Openrouter · Sep 22, 2026
Context windowMaximum documented tokens131K1,000K
Model facts checkedAug 28, 2026View model evidence →Sep 2, 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-3.1-70B-InstructHy4 preview
DeveloperMetaTencent
FamilyLlama 3 1 70b InstructHy4
ModelLlama-3.1-70B-InstructHy4 preview
VersionLlama-3.1-70B-InstructHy4 preview
Lifecycleactivepreview
Released2024-07-232026-08-28
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K1,000K
Total parameters70.6B770B
Active parametersUnknown49B
Licensellama3.1apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessOpenrouter (Standard)Openrouter (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, tools

Llama 3.1 70B Instruct Capabilities

chatgenerationtools
Serving providers1
Canonical IDmeta-llama/Llama-3.1-70B-Instruct

Hy4 preview Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDtencent/Hy4-preview

Primary Evidence

Sources and Freshness

Questions

Llama 3.1 70B Instruct vs Hy4 preview FAQs

Is Llama 3.1 70B Instruct or Hy4 preview better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 70B Instruct and Hy4 preview, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Llama 3.1 70B Instruct or Hy4 preview?+

Llama 3.1 70B Instruct is $0.40 and Hy4 preview is $0.834 per million tokens, so Llama 3.1 70B Instruct is cheaper on this metric. Llama 3.1 70B Instruct is $0.40 and Hy4 preview is $2.501 per million tokens, so Llama 3.1 70B Instruct is cheaper on this metric.

Which has a larger context window, Llama 3.1 70B Instruct or Hy4 preview?+

Hy4 preview has the larger sourced context window. Llama 3.1 70B Instruct supports 131K and Hy4 preview supports 1,000K.

Which performs better in benchmarks, Llama 3.1 70B Instruct or Hy4 preview?+

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 Instruct or Hy4 preview be self-hosted?+

Both models have the same recorded self-hosting status: supported. Llama 3.1 70B Instruct is open weight; Hy4 preview is open weight.

Can Llama 3.1 70B Instruct and Hy4 preview understand images?+

Llama 3.1 70B Instruct is not documented with image input; Hy4 preview is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Llama 3.1 70B Instruct or Hy4 preview?+

Neither has a larger sourced maximum output. Llama 3.1 70B Instruct is — and Hy4 preview is —.

Do Llama 3.1 70B Instruct and Hy4 preview support reasoning and tool use?+

Llama 3.1 70B Instruct: tool calling. Hy4 preview: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Llama 3.1 70B Instruct or Hy4 preview?+

Llama 3.1 70B Instruct has 1 sourced provider route; Hy4 preview has 1, a tie.

Which offers better value, Llama 3.1 70B Instruct or Hy4 preview?+

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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