DeepSeek V4 Flash vs Llama 4 Scout 17B 16E Instruct

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.0868Openrouter · Aug 28, 2026$0.10Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokens$0.1736Openrouter · Aug 28, 2026$0.30Deepinfra · Sep 22, 2026
Context windowMaximum documented tokens1,049K10,000K
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 →
BenchmarkDeepSeek-V4-FlashLlama-4-Scout-17B-16E-Instruct
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,431.79100% of row best · rating · deepseek-v4-flash; 95% CI [1427.66110387, 1435.91557810]; votes 48887; rank 831,279.2989% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1274.57681953, 1284.00026285]; votes 29740; rank 259
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified78.00100% of row best · points · DeepSeek V4 Flash (xhigh) · 12,709 output tokens / case47.3261% of row best · points · Llama 4 Scout · 696 output tokens / case
Overall ResultCounted from the protocol-matched rows above1 benchmark winNo overall winner0 benchmark winsNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldDeepSeek-V4-FlashLlama-4-Scout-17B-16E-Instruct
DeveloperDeepSeekMeta
FamilyDeepseek V4 FlashLlama 4 Scout 17b 16e Instruct
ModelDeepSeek-V4-FlashLlama-4-Scout-17B-16E-Instruct
VersionDeepSeek-V4-FlashLlama-4-Scout-17B-16E-Instruct
Lifecycleretiredactive
Released2026-04-242025-04-05
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window1,049K10,000K
Total parameters290.9B108.6B
Active parameters13B17B
Licensemitother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoningchat, generation, tools

DeepSeek V4 Flash Capabilities

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

Llama 4 Scout 17B 16E Instruct Capabilities

chatgenerationtools
Serving providers4
Canonical IDmeta-llama/Llama-4-Scout-17B-16E-Instruct

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Flash vs Llama 4 Scout 17B 16E Instruct FAQs

Is DeepSeek V4 Flash or Llama 4 Scout 17B 16E Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash and Llama 4 Scout 17B 16E Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Flash or Llama 4 Scout 17B 16E Instruct?+

DeepSeek V4 Flash is $0.0868 and Llama 4 Scout 17B 16E Instruct is $0.10 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. DeepSeek V4 Flash is $0.1736 and Llama 4 Scout 17B 16E Instruct is $0.30 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.

Which has a larger context window, DeepSeek V4 Flash or Llama 4 Scout 17B 16E Instruct?+

Llama 4 Scout 17B 16E Instruct has the larger sourced context window. DeepSeek V4 Flash supports 1,049K and Llama 4 Scout 17B 16E Instruct supports 10,000K.

Which performs better in benchmarks, DeepSeek V4 Flash or Llama 4 Scout 17B 16E 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 or Llama 4 Scout 17B 16E Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash is open weight; Llama 4 Scout 17B 16E Instruct is open weight.

Can DeepSeek V4 Flash and Llama 4 Scout 17B 16E Instruct understand images?+

DeepSeek V4 Flash is not documented with image input; Llama 4 Scout 17B 16E Instruct is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4 Flash or Llama 4 Scout 17B 16E Instruct?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and Llama 4 Scout 17B 16E Instruct is —.

Do DeepSeek V4 Flash and Llama 4 Scout 17B 16E Instruct support reasoning and tool use?+

DeepSeek V4 Flash: reasoning. Llama 4 Scout 17B 16E Instruct: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Flash or Llama 4 Scout 17B 16E Instruct?+

DeepSeek V4 Flash has 5 sourced provider routes; Llama 4 Scout 17B 16E Instruct has 4, so DeepSeek V4 Flash has broader tracked availability.

Which offers better value, DeepSeek V4 Flash or Llama 4 Scout 17B 16E 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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