DeepSeek V4 Flash vs Llama 3.1 70B

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.0868Openrouter · Aug 28, 2026Not reported
Output priceFrom · USD / 1M tokens$0.1736Openrouter · Aug 28, 2026Not reported
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-FlashLlama-3.1-70B
DeveloperDeepSeekMeta
FamilyDeepseek V4 FlashLlama 3 1 70b
ModelDeepSeek-V4-FlashLlama-3.1-70B
VersionDeepSeek-V4-FlashLlama-3.1-70B
Lifecycleretiredactive
Released2026-04-242024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window1,049K131K
Total parameters290.9B70.6B
Active parameters13BUnknown
Licensemitllama3.1
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard)Hugging Face (Standard)
Capabilitieschat, generation, reasoninggeneration

DeepSeek V4 Flash Capabilities

chatgenerationreasoning
Serving providers5
Canonical IDdeepseek-ai/DeepSeek-V4-Flash

Llama 3.1 70B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Flash vs Llama 3.1 70B FAQs

Is DeepSeek V4 Flash or Llama 3.1 70B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash and Llama 3.1 70B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Flash or Llama 3.1 70B?+

Only DeepSeek V4 Flash has a directly sourced input price: $0.0868 per million tokens. Only DeepSeek V4 Flash has a directly sourced output price: $0.1736 per million tokens.

Which has a larger context window, DeepSeek V4 Flash or Llama 3.1 70B?+

DeepSeek V4 Flash has the larger sourced context window. DeepSeek V4 Flash supports 1,049K and Llama 3.1 70B supports 131K.

Which performs better in benchmarks, DeepSeek V4 Flash or Llama 3.1 70B?+

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

Can DeepSeek V4 Flash or Llama 3.1 70B be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash is open weight; Llama 3.1 70B is open weight.

Can DeepSeek V4 Flash and Llama 3.1 70B understand images?+

DeepSeek V4 Flash is not documented with image input; Llama 3.1 70B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4 Flash or Llama 3.1 70B?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and Llama 3.1 70B is —.

Do DeepSeek V4 Flash and Llama 3.1 70B support reasoning and tool use?+

DeepSeek V4 Flash: reasoning. Llama 3.1 70B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Flash or Llama 3.1 70B?+

DeepSeek V4 Flash has 5 sourced provider routes; Llama 3.1 70B has 1, so DeepSeek V4 Flash has broader tracked availability.

Which offers better value, DeepSeek V4 Flash or Llama 3.1 70B?+

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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