DeepSeek V4 Pro vs Llama 4 Scout 17B 16E
At a Glance
| Compare |  DeepSeek V4 ProDeepSeek | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #28 of 4655.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.2 | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #10 of 44$0.054 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #12 of 3858.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 49.2–65.9 | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.66DeepSeek ↗ · Sep 2, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $1.5441Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 10,000K |
| Model facts checked | Aug 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
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Llama-4-Scout-17B-16E |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek V4 Pro | Llama 4 Scout 17b 16e |
| Model | DeepSeek-V4-Pro | Llama-4-Scout-17B-16E |
| Version | DeepSeek-V4-Pro | Llama-4-Scout-17B-16E |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 10,000K |
| Total parameters | 1.6T | 108.6B |
| Active parameters | 49B | 17B |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, tools |
DeepSeek V4 Pro Capabilities
Llama 4 Scout 17B 16E Capabilities
Related Comparisons
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|---|---|---|---|
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Claude Fable 5.1Anthropic | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Llama 4 Scout 17B 16E FAQs
Is DeepSeek V4 Pro or Llama 4 Scout 17B 16E better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Llama 4 Scout 17B 16E, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Llama 4 Scout 17B 16E?+
Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.
Which has a larger context window, DeepSeek V4 Pro or Llama 4 Scout 17B 16E?+
Llama 4 Scout 17B 16E has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Llama 4 Scout 17B 16E supports 10,000K.
Which performs better in benchmarks, DeepSeek V4 Pro or Llama 4 Scout 17B 16E?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Pro or Llama 4 Scout 17B 16E be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; Llama 4 Scout 17B 16E is open weight.
Can DeepSeek V4 Pro and Llama 4 Scout 17B 16E understand images?+
DeepSeek V4 Pro is not documented with image input; Llama 4 Scout 17B 16E is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Llama 4 Scout 17B 16E?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Llama 4 Scout 17B 16E is —.
Do DeepSeek V4 Pro and Llama 4 Scout 17B 16E support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Llama 4 Scout 17B 16E: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Llama 4 Scout 17B 16E?+
DeepSeek V4 Pro has 6 sourced provider routes; Llama 4 Scout 17B 16E has 1, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Llama 4 Scout 17B 16E?+
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.