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Llama 4 Scout MoE vs Llama 3.3 70B Dense Llama 4 Scout (10M Context MoE) Saves 18% Synced 2026-10-30

Llama 4 Scout (10M Context MoE) vs Llama 3.3 70B Instruct API Cost Calculator

Side-by-side FinOps unit economics audit comparing Llama 4 Scout (10M Context MoE) (Groq) against Llama 3.3 70B Instruct (DeepInfra). Switching or hybrid-routing 80% of traffic to Llama 4 Scout (10M Context MoE) cuts blended token spend by 18% and saves $504.00/mo ($6,048/yr) at 10,000 DAU.

Cost Efficiency Winner
Llama 4 Scout (10M Context MoE)
$0.135/1M blended tokens (18% lower than Llama 3.3 70B Instruct at $0.165/1M)
Deploy on DigitalOcean GPU Droplets ($200 Free Credit) ($0.08/1M in) →
10,000 DAU Monthly Delta
$504.00/mo
Saves $6,048/year on 12.6B input + 2.88B output tokens/mo
Export CFO .xlsx Savings Model ($29) →
Throughput & Latency Winner
Llama 4 Scout (10M Context MoE)
590 tok/s streaming speed (110ms TTFT)
Claim $200 DigitalOcean GPU Credit → · RunPod H100 GPUs →

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) Llama 3.3 70B Instruct (DeepInfra) Arbitrage Advantage
Input Price (per 1M tokens) $0.08 / 1M $0.12 / 1M Llama 4 Scout (10M Context MoE) (1.5x cheaper)
Output Price (per 1M tokens) $0.30 / 1M $0.30 / 1M Llama 4 Scout (10M Context MoE) (1.0x cheaper)
Cached Input Read (per 1M) $0.04 / 1M $0.06 / 1M Prompt Cache Hit Discount Ready
Blended 3:1 RAG Rate (per 1M) $0.135 / 1M $0.165 / 1M 18% savings with Llama 4 Scout (10M Context MoE)
Context Window / Max Output 1.3M (1,310,720) / 16K out 131K (131,072) / 16K out Llama 4 Scout (10M Context MoE) larger context
Streaming Speed & TTFT 590 tok/s (110ms TTFT) 115 tok/s (240ms 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 Llama 3.3 70B Instruct Monthly Bill Monthly Savings (Llama 4 Scout (10M Context MoE))
1,000 DAU (Seed / MVP) 1.26B in / 288M out $187.20/mo $237.60/mo Save $50.40/mo
10,000 DAU (Growth SaaS) 12.6B in / 2.88B out $1,872/mo $2,376/mo Save $504.00/mo ($6,048/yr)
50,000 DAU (Enterprise Scale) 63.0B in / 14.4B out $9,360/mo $11,880/mo Save $2,520/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) Llama 3.3 70B Instruct (Read @ $0.06/1M) Combined Hybrid Router + 75% Cache
0% Cache Hit (Cold Prompts) $1,872/mo $2,376/mo $2,275/mo
50% Cache Hit (Standard Chat) $1,620/mo $1,998/mo $1,696/mo
75% Cache Hit (Production Agent/RAG) $1,494/mo $1,809/mo $1,557/mo
90% Cache Hit (Heavy Document Context) $1,418/mo $1,696/mo $1,474/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 Llama 3.3 70B Instruct 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 3.3 70B Instruct DigitalOcean GPU Droplets ($200 Free Credit) $0.12 $0.30 $0.06 204ms <400ms SLA ✓ 137 tok/s Deploy ($200 Free 60-Day Cloud Credit) →
Llama 3.3 70B Instruct Vultr Cloud GPU ($300 Free Credit) $0.12 $0.30 $0.06 207ms <400ms SLA ✓ 135 tok/s Deploy ($300 Free GPU Cloud Credit) →
Llama 3.3 70B Instruct RunPod Serverless vLLM ($5–$500 Bonus) $0.12 $0.30 $0.06 215ms <400ms SLA ✓ 130 tok/s Deploy ($5–$500 Free Bonus Credit) →
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 3.3 70B Instruct DeepInfra (Cheapest) $0.12 $0.30 $0.06 243ms <400ms SLA ✓ 115 tok/s Deploy (Get $50 Free API Credits) →
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) →
Llama 3.3 70B Instruct Cerebras (2,100 tok/s) $0.60 $0.60 $0.30 110ms <400ms SLA ✓ 2100 tok/s Deploy (2,000+ tok/s Inference Tier) →
Llama 3.3 70B Instruct Groq LPU (320 tok/s) $0.59 $0.79 $0.29 110ms <400ms SLA ✓ 320 tok/s Deploy (500+ tok/s LPU Free Tier) →
Llama 3.3 70B Instruct Together AI $0.88 $0.88 $0.44 200ms <400ms SLA ✓ 140 tok/s Deploy ($25 Free Inference Credits) →
Llama 3.3 70B Instruct Fireworks AI $0.90 $0.90 $0.45 170ms <400ms SLA ✓ 165 tok/s Deploy ($50 Free FireAttention Credits) →
⚡ Smart Router Disparity Anchor: Routing 80% of turns to DigitalOcean GPU Droplets ($200 Free Credit) saves 18% while keeping Time-to-First-Token under the 400ms real-time UX threshold.
📣 Inference Host? Claim #1 Featured Model Slot ($299/mo) → ⚡ Claim Global Smart Router Gateway Slot ($499/mo) →

5. Frequently Asked Questions (Llama 4 Scout (10M Context MoE) vs Llama 3.3 70B Instruct)

Is Llama 4 Scout (10M Context MoE) or Llama 3.3 70B Instruct cheaper per 1M tokens in production?
Llama 4 Scout (10M Context MoE) is 18% cheaper on a blended 3:1 input-to-output production workload ($0.135/1M blended vs $0.165/1M for Llama 3.3 70B Instruct). Llama 4 Scout (10M Context MoE) charges $0.08/1M input and $0.30/1M output, while Llama 3.3 70B Instruct charges $0.12/1M input and $0.30/1M output.
How much does Llama 4 Scout (10M Context MoE) vs Llama 3.3 70B Instruct 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 Llama 3.3 70B Instruct costs $2,376/month uncached ($1,809/mo with 75% prompt cache hits). Routing to Llama 4 Scout (10M Context MoE) saves $504.00/month ($6,048/year).
How much does Prompt Caching save on Llama 4 Scout (10M Context MoE) vs Llama 3.3 70B Instruct?
Llama 4 Scout (10M Context MoE) offers cached input reads at $0.04/1M tokens, while Llama 3.3 70B Instruct offers cached reads at $0.06/1M 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 Llama 3.3 70B Instruct drops from $2,376 to $1,809.
Which model has faster token generation speed and larger context: Llama 4 Scout (10M Context MoE) or Llama 3.3 70B Instruct?
Llama 4 Scout (10M Context MoE) delivers higher throughput at 590 tokens/sec (TTFT 110ms) compared to 115 tokens/sec. For context window, Llama 4 Scout (10M Context MoE) supports 1.3M tokens (1,310,720) while Llama 3.3 70B Instruct supports 131K tokens (131,072).

6. Related FinOps Comparisons & Model Calculators