DeepSeek V3 vs Llama 3.1 405B

At a Glance

Compare
DeepSeek V3DeepSeek
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.2574Openrouter ↗ · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$0.89Deepinfra ↗ · Oct 19, 2026Not reported
Context windowMaximum documented tokens164K131K
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

FieldDeepSeek-V3Llama-3.1-405B
DeveloperDeepSeekMeta
FamilyDeepseek V3Llama 3 1 405b
ModelDeepSeek-V3Llama-3.1-405B
VersionDeepSeek-V3Llama-3.1-405B
Lifecycleactiveactive
Released2024-12-262024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window164K131K
Total parameters684.5B405.9B
Active parameters37BUnknown
LicenseUnknownllama3.1
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Together Ai (Standard)
Capabilitieschat, generationgeneration

DeepSeek V3 Capabilities

chatgeneration
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V3

Llama 3.1 405B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

DeepSeek V3 vs Llama 3.1 405B FAQs

Is DeepSeek V3 or Llama 3.1 405B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3 and Llama 3.1 405B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V3 or Llama 3.1 405B?+

Only DeepSeek V3 has a directly sourced input price: $0.2574 per million tokens. Only DeepSeek V3 has a directly sourced output price: $0.89 per million tokens.

Which has a larger context window, DeepSeek V3 or Llama 3.1 405B?+

DeepSeek V3 has the larger sourced context window. DeepSeek V3 supports 163,840 tokens and Llama 3.1 405B supports 131,072 tokens.

Which performs better in benchmarks, DeepSeek V3 or Llama 3.1 405B?+

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

Can DeepSeek V3 or Llama 3.1 405B be self-hosted?+

Both models have the same sourced self-hosting status: supported. DeepSeek V3 is open weight; Llama 3.1 405B is open weight.

Can DeepSeek V3 and Llama 3.1 405B understand images?+

DeepSeek V3 is not documented with image input; Llama 3.1 405B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V3 or Llama 3.1 405B?+

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

Do DeepSeek V3 and Llama 3.1 405B support reasoning and tool use?+

DeepSeek V3: none of these features are definitively sourced. Llama 3.1 405B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V3 or Llama 3.1 405B?+

DeepSeek V3 has 3 sourced provider routes; Llama 3.1 405B has 1, so DeepSeek V3 has broader tracked availability.

Which offers better value, DeepSeek V3 or Llama 3.1 405B?+

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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