DeepSeek V4.1 Flash vs Llama 4 Scout 17B 16E Instruct
At a Glance
| Compare |  DeepSeek V4.1 FlashDeepSeek | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | #5 of 44$0.022 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.15DeepSeek ↗ · Sep 10, 2026 | $0.10Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.60Deepinfra ↗ · Sep 22, 2026 | $0.30Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 10,000K |
| Model facts checked | Sep 10, 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
| Benchmark | DeepSeek-V4.1-Flash | Llama-4-Scout-17B-16E-Instruct |
|---|---|---|
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 88.03100% of row best · points · DeepSeek V4.1 Flash (max) · 18,199 output tokens / case | 47.3254% of row best · points · Llama 4 Scout · 696 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 0 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
| Field | DeepSeek-V4.1-Flash | Llama-4-Scout-17B-16E-Instruct |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek V4 1 | Llama 4 Scout 17b 16e Instruct |
| Model | DeepSeek-V4.1-Flash | Llama-4-Scout-17B-16E-Instruct |
| Version | DeepSeek-V4.1-Flash | Llama-4-Scout-17B-16E-Instruct |
| Lifecycle | active | active |
| Released | 2026-09-10 | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 10,000K |
| Total parameters | 763.2B | 108.6B |
| Active parameters | Unknown | 17B |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Together Ai (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, fim, generation, reasoning, responses, structured_outputs, tools, vision | chat, generation, tools |
| Architecture design | Causal Encoder-Decoder (20 encoder + 20 decoder layers) | Unknown |
| Backbone parameters | 552000000000 parameters | Unknown |
| Active parameters during decode | 16000000000 parameters | Unknown |
| Active parameters during prefill | 8000000000 parameters | Unknown |
| Pre-training corpus | 45000000000000 tokens | Unknown |
| Reasoning effort range | 1–100 | Unknown |
| Routed experts per MoE layer | 384 experts | Unknown |
| Routed experts per token | 6 experts | Unknown |
| Transformer layers | 40 layers | Unknown |
DeepSeek V4.1 Flash Capabilities
Llama 4 Scout 17B 16E Instruct Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4.1 Flash vs Llama 4 Scout 17B 16E Instruct FAQs
Is DeepSeek V4.1 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 V4.1 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 V4.1 Flash or Llama 4 Scout 17B 16E Instruct?+
DeepSeek V4.1 Flash is $0.15 and Llama 4 Scout 17B 16E Instruct is $0.10 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric. DeepSeek V4.1 Flash is $0.60 and Llama 4 Scout 17B 16E Instruct is $0.30 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric.
Which has a larger context window, DeepSeek V4.1 Flash or Llama 4 Scout 17B 16E Instruct?+
Llama 4 Scout 17B 16E Instruct has the larger sourced context window. DeepSeek V4.1 Flash supports 1,049K and Llama 4 Scout 17B 16E Instruct supports 10,000K.
Which performs better in benchmarks, DeepSeek V4.1 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 V4.1 Flash or Llama 4 Scout 17B 16E Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4.1 Flash is open weight; Llama 4 Scout 17B 16E Instruct is open weight.
Can DeepSeek V4.1 Flash and Llama 4 Scout 17B 16E Instruct understand images?+
DeepSeek V4.1 Flash is 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 V4.1 Flash or Llama 4 Scout 17B 16E Instruct?+
Neither has a larger sourced maximum output. DeepSeek V4.1 Flash is 393K and Llama 4 Scout 17B 16E Instruct is —.
Do DeepSeek V4.1 Flash and Llama 4 Scout 17B 16E Instruct support reasoning and tool use?+
DeepSeek V4.1 Flash: reasoning, tool calling, and image input. 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 V4.1 Flash or Llama 4 Scout 17B 16E Instruct?+
DeepSeek V4.1 Flash has 3 sourced provider routes; Llama 4 Scout 17B 16E Instruct has 4, so Llama 4 Scout 17B 16E Instruct has broader tracked availability.
Which offers better value, DeepSeek V4.1 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.