DeepSeek V4 Flash Base vs Llama 3.1 405B Instruct

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens1,049K131K
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-V4-Flash-BaseLlama-3.1-405B-Instruct
DeveloperDeepSeekMeta
FamilyDeepseek V4 Flash BaseLlama 3 1 405b Instruct
ModelDeepSeek-V4-Flash-BaseLlama-3.1-405B-Instruct
VersionDeepSeek-V4-Flash-BaseLlama-3.1-405B-Instruct
Lifecycleactiveactive
Released2026-04-242024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window1,049K131K
Total parameters292B405.9B
Active parametersUnknownUnknown
LicenseUnknownllama3.1
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownTogether Ai (Standard)
Capabilitiesgenerationchat, generation, tools

DeepSeek V4 Flash Base Capabilities

generation
Serving providers0
Canonical IDdeepseek-ai/DeepSeek-V4-Flash-Base

Llama 3.1 405B Instruct Capabilities

chatgenerationtools
Serving providers1
Canonical IDmeta-llama/Llama-3.1-405B-Instruct

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Flash Base vs Llama 3.1 405B Instruct FAQs

Is DeepSeek V4 Flash Base or Llama 3.1 405B Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Base and Llama 3.1 405B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Flash Base or Llama 3.1 405B Instruct?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, DeepSeek V4 Flash Base or Llama 3.1 405B Instruct?+

DeepSeek V4 Flash Base has the larger sourced context window. DeepSeek V4 Flash Base supports 1,049K and Llama 3.1 405B Instruct supports 131K.

Which performs better in benchmarks, DeepSeek V4 Flash Base or Llama 3.1 405B Instruct?+

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

Can DeepSeek V4 Flash Base or Llama 3.1 405B Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash Base is open weight; Llama 3.1 405B Instruct is open weight.

Can DeepSeek V4 Flash Base and Llama 3.1 405B Instruct understand images?+

DeepSeek V4 Flash Base is not documented with image input; Llama 3.1 405B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4 Flash Base or Llama 3.1 405B Instruct?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash Base is — and Llama 3.1 405B Instruct is —.

Do DeepSeek V4 Flash Base and Llama 3.1 405B Instruct support reasoning and tool use?+

DeepSeek V4 Flash Base: none of these features are definitively sourced. Llama 3.1 405B Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Flash Base or Llama 3.1 405B Instruct?+

DeepSeek V4 Flash Base has 0 sourced provider routes; Llama 3.1 405B Instruct has 1, so Llama 3.1 405B Instruct has broader tracked availability.

Which offers better value, DeepSeek V4 Flash Base or Llama 3.1 405B 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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