10M Context Llama 4 Scout vs DeepSeek V3
Llama 4 Scout (10M Context MoE) Saves 64%
Synced 2026-10-30
Llama 4 Scout (10M Context MoE) vs DeepSeek V3 (0324) API Cost Calculator
Side-by-side FinOps unit economics audit comparing Llama 4 Scout (10M Context MoE) (Groq) against DeepSeek V3 (0324) (DeepInfra). Switching or hybrid-routing 80% of traffic to Llama 4 Scout (10M Context MoE) cuts blended token spend by 64% and saves $3,427/mo ($41,126/yr) at 10,000 DAU.
Cost Efficiency Winner
Llama 4 Scout (10M Context MoE)
$0.135/1M blended tokens (64% lower than DeepSeek V3 (0324) at $0.378/1M)
10,000 DAU Monthly Delta
$3,427/mo
Saves $41,126/year on 12.6B input + 2.88B output tokens/mo
Throughput & Latency Winner
Llama 4 Scout (10M Context MoE)
1. Side-by-Side Token Pricing, Context Window & Speed Matrix
Exact API pricing per 1 Million tokens (Input, Output, and Prompt Cache Read), maximum context window, and real-world streaming throughput.
| FinOps Metric | Llama 4 Scout (10M Context MoE) (Groq) | DeepSeek V3 (0324) (DeepInfra) | Arbitrage Advantage |
|---|---|---|---|
| Input Price (per 1M tokens) | $0.08 / 1M | $0.24 / 1M | Llama 4 Scout (10M Context MoE) (3.0x cheaper) |
| Output Price (per 1M tokens) | $0.30 / 1M | $0.79 / 1M | Llama 4 Scout (10M Context MoE) (2.6x cheaper) |
| Cached Input Read (per 1M) | $0.04 / 1M | $0.07 / 1M | Prompt Cache Hit Discount Ready |
| Blended 3:1 RAG Rate (per 1M) | $0.135 / 1M | $0.378 / 1M | 64% savings with Llama 4 Scout (10M Context MoE) |
| Context Window / Max Output | 1.3M (1,310,720) / 16K out | 164K (163,840) / 115K out | Llama 4 Scout (10M Context MoE) larger context |
| Streaming Speed & TTFT | 590 tok/s (110ms TTFT) | 92 tok/s (360ms TTFT) | Llama 4 Scout (10M Context MoE) faster generation |
| Capabilities (Tools / Vision / Cache) | Tools: Yes · Vision: Yes · Cache: Yes | Tools: Yes · Vision: No · Cache: Yes | JSON Mode: Both Supported |
2. Monthly SaaS Cloud Bill Simulation (1,000 DAU / 10,000 DAU / 50,000 DAU)
Simulated monthly API spend for a production AI SaaS application (12 requests per active user/day, 3,500 input tokens + 800 output tokens per turn, 30 days/month).
| SaaS Scale Tier | Monthly Token Volume | Llama 4 Scout (10M Context MoE) Monthly Bill | DeepSeek V3 (0324) Monthly Bill | Monthly Savings (Llama 4 Scout (10M Context MoE)) |
|---|---|---|---|---|
| 1,000 DAU (Seed / MVP) | 1.26B in / 288M out | $187.20/mo | $529.92/mo | Save $342.72/mo |
| 10,000 DAU (Growth SaaS) | 12.6B in / 2.88B out | $1,872/mo | $5,299/mo | Save $3,427/mo ($41,126/yr) |
| 50,000 DAU (Enterprise Scale) | 63.0B in / 14.4B out | $9,360/mo | $26,496/mo | Save $17,136/mo |
3. Prompt Caching Savings Math (At 10,000 DAU Workload)
Long system prompts, RAG document context, and multi-turn agent histories qualify for automatic or explicit prompt caching. Here is how cache hit rates change your monthly cloud bill:
| Prompt Cache Hit Rate | Llama 4 Scout (10M Context MoE) (Read @ $0.04/1M) | DeepSeek V3 (0324) (Read @ $0.07/1M) | Combined Hybrid Router + 75% Cache |
|---|---|---|---|
| 0% Cache Hit (Cold Prompts) | $1,872/mo | $5,299/mo | $4,614/mo |
| 50% Cache Hit (Standard Chat) | $1,620/mo | $4,228/mo | $2,142/mo |
| 75% Cache Hit (Production Agent/RAG) | $1,494/mo | $3,693/mo | $1,934/mo |
| 90% Cache Hit (Heavy Document Context) | $1,418/mo | $3,371/mo | $1,809/mo |
4. Multi-Provider Host Arbitrage & Latency Disparity Table (Cost vs. <400ms TTFT SLA)
Don't overpay default gateway markups or suffer peak-hour latency spikes. Compare verified inference hosts for both Llama 4 Scout (10M Context MoE) and DeepSeek V3 (0324) anchored by Cost-per-1M Tokens vs. Time-to-First-Token (TTFT < 400ms SLA):
| Model | Inference Host / Gateway | Input / 1M | Output / 1M | Cache Read / 1M | TTFT Latency & SLA | Throughput | Deploy / Credits Link |
|---|---|---|---|---|---|---|---|
| Llama 4 Scout (10M Context MoE) | DigitalOcean GPU Droplets ($200 Free Credit) #1 Smart Router Pick | $0.08 | $0.30 | $0.04 | 110ms <400ms SLA ✓ | 612 tok/s | Deploy ($200 Free 60-Day Cloud Credit) → |
| Llama 4 Scout (10M Context MoE) | Vultr Cloud GPU ($300 Free Credit) | $0.08 | $0.30 | $0.04 | 110ms <400ms SLA ✓ | 610 tok/s | Deploy ($300 Free GPU Cloud Credit) → |
| Llama 4 Scout (10M Context MoE) | RunPod Serverless vLLM ($5–$500 Bonus) | $0.08 | $0.30 | $0.04 | 110ms <400ms SLA ✓ | 605 tok/s | Deploy ($5–$500 Free Bonus Credit) → |
| Llama 4 Scout (10M Context MoE) | DeepInfra | $0.08 | $0.30 | $0.04 | 151ms <400ms SLA ✓ | 185 tok/s | Deploy (Get $50 Free API Credits) → |
| Llama 4 Scout (10M Context MoE) | Groq LPU (590 tok/s) | $0.11 | $0.34 | $0.055 | 110ms <400ms SLA ✓ | 590 tok/s | Deploy (500+ tok/s LPU Free Tier) → |
| Llama 4 Scout (10M Context MoE) | Together AI | $0.18 | $0.59 | $0.09 | 144ms <400ms SLA ✓ | 195 tok/s | Deploy ($25 Free Inference Credits) → |
| DeepSeek V3 (0324) | DigitalOcean GPU Droplets ($200 Free Credit) | $0.24 | $0.79 | $0.07 | 246ms <400ms SLA ✓ | 114 tok/s | Deploy ($200 Free 60-Day Cloud Credit) → |
| DeepSeek V3 (0324) | Vultr Cloud GPU ($300 Free Credit) | $0.24 | $0.79 | $0.07 | 250ms <400ms SLA ✓ | 112 tok/s | Deploy ($300 Free GPU Cloud Credit) → |
| DeepSeek V3 (0324) | RunPod Serverless vLLM ($5–$500 Bonus) | $0.24 | $0.79 | $0.07 | 262ms <400ms SLA ✓ | 107 tok/s | Deploy ($5–$500 Free Bonus Credit) → |
| DeepSeek V3 (0324) | DeepInfra (US Zero-Log) | $0.24 | $0.79 | $0.07 | 304ms <400ms SLA ✓ | 92 tok/s | Deploy (Get $50 Free API Credits) → |
| DeepSeek V3 (0324) | DeepSeek Official (Off-Peak 50%) | $0.27 | $1.10 | $0.07 | 431ms Batch/Async | 65 tok/s | Deploy (US-Hosted Zero-Logging via DeepInfra) → |
| DeepSeek V3 (0324) | Fireworks AI (Turbo) | $0.38 | $0.88 | $0.19 | 207ms <400ms SLA ✓ | 135 tok/s | Deploy ($50 Free FireAttention Credits) → |
| DeepSeek V3 (0324) | Together AI | $0.40 | $0.89 | $0.20 | 286ms <400ms SLA ✓ | 98 tok/s | Deploy ($25 Free Inference Credits) → |
⚡ Smart Router Disparity Anchor: Routing 80% of turns to DigitalOcean GPU Droplets ($200 Free Credit) saves 64% while keeping Time-to-First-Token under the 400ms real-time UX threshold.
5. Frequently Asked Questions (Llama 4 Scout (10M Context MoE) vs DeepSeek V3 (0324))
Is Llama 4 Scout (10M Context MoE) or DeepSeek V3 (0324) cheaper per 1M tokens in production?
Llama 4 Scout (10M Context MoE) is 64% cheaper on a blended 3:1 input-to-output production workload ($0.135/1M blended vs $0.378/1M for DeepSeek V3 (0324)). Llama 4 Scout (10M Context MoE) charges $0.08/1M input and $0.30/1M output, while DeepSeek V3 (0324) charges $0.24/1M input and $0.79/1M output.
How much does Llama 4 Scout (10M Context MoE) vs DeepSeek V3 (0324) cost at 10,000 Daily Active Users (DAU)?
At 10,000 DAU (360,000 requests/day at 3,500 input + 800 output tokens), Llama 4 Scout (10M Context MoE) costs $1,872/month uncached ($1,494/mo with 75% prompt cache hits), whereas DeepSeek V3 (0324) costs $5,299/month uncached ($3,693/mo with 75% prompt cache hits). Routing to Llama 4 Scout (10M Context MoE) saves $3,427/month ($41,126/year).
How much does Prompt Caching save on Llama 4 Scout (10M Context MoE) vs DeepSeek V3 (0324)?
Llama 4 Scout (10M Context MoE) offers cached input reads at $0.04/1M tokens, while DeepSeek V3 (0324) offers cached reads at $0.07/1M tokens. At a 75% system-prompt/RAG cache hit rate, Llama 4 Scout (10M Context MoE) monthly spend drops from $1,872 to $1,494, and DeepSeek V3 (0324) drops from $5,299 to $3,693.
Which model has faster token generation speed and larger context: Llama 4 Scout (10M Context MoE) or DeepSeek V3 (0324)?
Llama 4 Scout (10M Context MoE) delivers higher throughput at 590 tokens/sec (TTFT 110ms) compared to 92 tokens/sec. For context window, Llama 4 Scout (10M Context MoE) supports 1.3M tokens (1,310,720) while DeepSeek V3 (0324) supports 164K tokens (163,840).
6. Related FinOps Comparisons & Model Calculators
Llama 4 Scout (10M Context MoE) Pricing Calculator
Full host arbitrage & DAU cost breakdown →
DeepSeek V3 (0324) Pricing Calculator
Full host arbitrage & DAU cost breakdown →
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