10M Context Open-Weight vs GPT-4o Mini Llama 4 Scout (10M Context MoE) Saves 49% Synced 2026-10-30

Llama 4 Scout (10M Context MoE) vs GPT-4o Mini API Cost Calculator

Q: Is Llama 4 Scout (10M Context MoE) or GPT-4o Mini cheaper per 1M tokens in production?

Llama 4 Scout (10M Context MoE) is 49% cheaper on a blended 3:1 input-to-output production workload ($0.135/1M blended vs $0.262/1M for GPT-4o Mini). Llama 4 Scout (10M Context MoE) charges $0.08/1M input and $0.30/1M output, while GPT-4o Mini charges $0.15/1M input and $0.60/1M output.

Q: How much does Llama 4 Scout (10M Context MoE) vs GPT-4o Mini 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 GPT-4o Mini costs $3,618/month uncached ($2,909/mo with 75% prompt cache hits). Routing to Llama 4 Scout (10M Context MoE) saves $1,746/month ($20,952/year).

Q: How much does Prompt Caching save on Llama 4 Scout (10M Context MoE) vs GPT-4o Mini?

Llama 4 Scout (10M Context MoE) offers cached input reads at $0.04/1M tokens, while GPT-4o Mini offers cached reads at $0.075/1M 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 GPT-4o Mini drops from $3,618 to $2,909.

Q: Which model has faster token generation speed and larger context: Llama 4 Scout (10M Context MoE) or GPT-4o Mini?

Llama 4 Scout (10M Context MoE) delivers higher throughput at 590 tokens/sec (TTFT 110ms) compared to 148 tokens/sec. For context window, Llama 4 Scout (10M Context MoE) supports 1.3M tokens (1,310,720) while GPT-4o Mini supports 128K tokens (128,000).

Side-by-side FinOps unit economics audit comparing Llama 4 Scout (10M Context MoE) (Groq) against GPT-4o Mini (OpenAI). Switching or hybrid-routing 80% of traffic to Llama 4 Scout (10M Context MoE) cuts blended token spend by 49% and saves $1,746/mo ($20,952/yr) at 10,000 DAU.

Deploy Llama 4 Scout (10M Context MoE) on DigitalOcean GPU Droplets ($200 Free Credit) ($200 Free 60-Day Cloud Credit) → Download 58-Model CFO Excel Audit ($29) → Open Interactive Simulator → Generate Zero-Dependency Router

Cost Efficiency Winner

Llama 4 Scout (10M Context MoE)

$0.135/1M blended tokens (49% lower than GPT-4o Mini at $0.262/1M)

Deploy on DigitalOcean GPU Droplets ($200 Free Credit) ($0.08/1M in) →

10,000 DAU Monthly Delta

$1,746/mo

Saves $20,952/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)

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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)	GPT-4o Mini (OpenAI)	Arbitrage Advantage
Input Price (per 1M tokens)	$0.08 / 1M	$0.15 / 1M	Llama 4 Scout (10M Context MoE) (1.9x cheaper)
Output Price (per 1M tokens)	$0.30 / 1M	$0.60 / 1M	Llama 4 Scout (10M Context MoE) (2.0x cheaper)
Cached Input Read (per 1M)	$0.04 / 1M	$0.075 / 1M	Prompt Cache Hit Discount Ready
Blended 3:1 RAG Rate (per 1M)	$0.135 / 1M	$0.262 / 1M	49% savings with Llama 4 Scout (10M Context MoE)
Context Window / Max Output	1.3M (1,310,720) / 16K out	128K (128,000) / 16K out	Llama 4 Scout (10M Context MoE) larger context
Streaming Speed & TTFT	590 tok/s (110ms TTFT)	148 tok/s (210ms TTFT)	Llama 4 Scout (10M Context MoE) faster generation
Capabilities (Tools / Vision / Cache)	Tools: Yes · Vision: Yes · Cache: Yes	Tools: Yes · Vision: Yes · 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	GPT-4o Mini Monthly Bill	Monthly Savings (Llama 4 Scout (10M Context MoE))
1,000 DAU (Seed / MVP)	1.26B in / 288M out	$187.20/mo	$361.80/mo	Save $174.60/mo
10,000 DAU (Growth SaaS)	12.6B in / 2.88B out	$1,872/mo	$3,618/mo	Save $1,746/mo ($20,952/yr)
50,000 DAU (Enterprise Scale)	63.0B in / 14.4B out	$9,360/mo	$18,090/mo	Save $8,730/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)	GPT-4o Mini (Read @ $0.075/1M)	Combined Hybrid Router + 75% Cache
0% Cache Hit (Cold Prompts)	$1,872/mo	$3,618/mo	$3,269/mo
50% Cache Hit (Standard Chat)	$1,620/mo	$3,146/mo	$1,925/mo
75% Cache Hit (Production Agent/RAG)	$1,494/mo	$2,909/mo	$1,777/mo
90% Cache Hit (Heavy Document Context)	$1,418/mo	$2,768/mo	$1,688/mo

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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 GPT-4o Mini 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) →
GPT-4o Mini	OpenAI Direct	$0.15	$0.60	$0.075	189ms <400ms SLA ✓	148 tok/s	Deploy (Route with 0% Markup Fallback) →
GPT-4o Mini	OpenRouter	$0.15	$0.60	$0.075	194ms <400ms SLA ✓	144 tok/s	Deploy (Unified API for 470+ Models) →
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) →

⚡ Smart Router Disparity Anchor: Routing 80% of turns to DigitalOcean GPU Droplets ($200 Free Credit) saves 49% while keeping Time-to-First-Token under the 400ms real-time UX threshold.

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5. Frequently Asked Questions (Llama 4 Scout (10M Context MoE) vs GPT-4o Mini)

Is Llama 4 Scout (10M Context MoE) or GPT-4o Mini cheaper per 1M tokens in production?

Llama 4 Scout (10M Context MoE) is 49% cheaper on a blended 3:1 input-to-output production workload ($0.135/1M blended vs $0.262/1M for GPT-4o Mini). Llama 4 Scout (10M Context MoE) charges $0.08/1M input and $0.30/1M output, while GPT-4o Mini charges $0.15/1M input and $0.60/1M output.

How much does Llama 4 Scout (10M Context MoE) vs GPT-4o Mini 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 GPT-4o Mini costs $3,618/month uncached ($2,909/mo with 75% prompt cache hits). Routing to Llama 4 Scout (10M Context MoE) saves $1,746/month ($20,952/year).

How much does Prompt Caching save on Llama 4 Scout (10M Context MoE) vs GPT-4o Mini?

Llama 4 Scout (10M Context MoE) offers cached input reads at $0.04/1M tokens, while GPT-4o Mini offers cached reads at $0.075/1M 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 GPT-4o Mini drops from $3,618 to $2,909.

Which model has faster token generation speed and larger context: Llama 4 Scout (10M Context MoE) or GPT-4o Mini?

Llama 4 Scout (10M Context MoE) delivers higher throughput at 590 tokens/sec (TTFT 110ms) compared to 148 tokens/sec. For context window, Llama 4 Scout (10M Context MoE) supports 1.3M tokens (1,310,720) while GPT-4o Mini supports 128K tokens (128,000).

6. Related FinOps Comparisons & Model Calculators

Llama 4 Scout (10M Context MoE) Pricing Calculator Full host arbitrage & DAU cost breakdown → GPT-4o Mini Pricing Calculator Full host arbitrage & DAU cost breakdown → GPT-4.1 Mini (75% Cache Discount) vs GPT-4o Mini Save 63% ($6,030/mo @ 10K DAU) → Llama 4 Scout (10M Context MoE) vs Gemini 2.0 Flash Save 23% ($540.00/mo @ 10K DAU) → Llama 3.3 70B Instruct vs GPT-4o Mini Save 37% ($1,242/mo @ 10K DAU) → Gemini 2.0 Flash vs GPT-4o Mini Save 33% ($1,206/mo @ 10K DAU) → Claude 3.5 Haiku vs GPT-4o Mini Save 84% ($17,982/mo @ 10K DAU) → GPT-4.1 Nano (Ultra-Fast Router) vs GPT-4o Mini Save 33% ($1,206/mo @ 10K DAU) →