Llama 4 Scout vs Claude 3.5 Haiku
Llama 4 Scout (10M Context MoE) Saves 92%
Synced 2026-10-30
Llama 4 Scout (10M Context MoE) vs Claude 3.5 Haiku API Cost Calculator
Side-by-side FinOps unit economics audit comparing Llama 4 Scout (10M Context MoE) (Groq) against Claude 3.5 Haiku (Anthropic). Switching or hybrid-routing 80% of traffic to Llama 4 Scout (10M Context MoE) cuts blended token spend by 92% and saves $19,728/mo ($236,736/yr) at 10,000 DAU.
Cost Efficiency Winner
Llama 4 Scout (10M Context MoE)
$0.135/1M blended tokens (92% lower than Claude 3.5 Haiku at $1.60/1M)
10,000 DAU Monthly Delta
$19,728/mo
Saves $236,736/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) | Claude 3.5 Haiku (Anthropic) | Arbitrage Advantage |
|---|---|---|---|
| Input Price (per 1M tokens) | $0.08 / 1M | $0.80 / 1M | Llama 4 Scout (10M Context MoE) (10.0x cheaper) |
| Output Price (per 1M tokens) | $0.30 / 1M | $4.00 / 1M | Llama 4 Scout (10M Context MoE) (13.3x cheaper) |
| Cached Input Read (per 1M) | $0.04 / 1M | $0.08 / 1M | Prompt Cache Hit Discount Ready |
| Blended 3:1 RAG Rate (per 1M) | $0.135 / 1M | $1.60 / 1M | 92% savings with Llama 4 Scout (10M Context MoE) |
| Context Window / Max Output | 1.3M (1,310,720) / 16K out | 200K (200,000) / 8K out | Llama 4 Scout (10M Context MoE) larger context |
| Streaming Speed & TTFT | 590 tok/s (110ms TTFT) | 135 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: 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 | Claude 3.5 Haiku Monthly Bill | Monthly Savings (Llama 4 Scout (10M Context MoE)) |
|---|---|---|---|---|
| 1,000 DAU (Seed / MVP) | 1.26B in / 288M out | $187.20/mo | $2,160/mo | Save $1,973/mo |
| 10,000 DAU (Growth SaaS) | 12.6B in / 2.88B out | $1,872/mo | $21,600/mo | Save $19,728/mo ($236,736/yr) |
| 50,000 DAU (Enterprise Scale) | 63.0B in / 14.4B out | $9,360/mo | $108,000/mo | Save $98,640/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) | Claude 3.5 Haiku (Read @ $0.08/1M) | Combined Hybrid Router + 75% Cache |
|---|---|---|---|
| 0% Cache Hit (Cold Prompts) | $1,872/mo | $21,600/mo | $17,654/mo |
| 50% Cache Hit (Standard Chat) | $1,620/mo | $17,064/mo | $4,709/mo |
| 75% Cache Hit (Production Agent/RAG) | $1,494/mo | $14,796/mo | $4,154/mo |
| 90% Cache Hit (Heavy Document Context) | $1,418/mo | $13,435/mo | $3,822/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 Claude 3.5 Haiku 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) → |
| Claude 3.5 Haiku | Anthropic Direct | $0.80 | $4.00 | $0.08 | 207ms <400ms SLA ✓ | 135 tok/s | Deploy (Prompt Caching Ready) → |
| Claude 3.5 Haiku | OpenRouter | $0.80 | $4.00 | $0.08 | 212ms <400ms SLA ✓ | 132 tok/s | Deploy (Unified API for 470+ Models) → |
⚡ Smart Router Disparity Anchor: Routing 80% of turns to DigitalOcean GPU Droplets ($200 Free Credit) saves 92% while keeping Time-to-First-Token under the 400ms real-time UX threshold.
5. Frequently Asked Questions (Llama 4 Scout (10M Context MoE) vs Claude 3.5 Haiku)
Is Llama 4 Scout (10M Context MoE) or Claude 3.5 Haiku cheaper per 1M tokens in production?
Llama 4 Scout (10M Context MoE) is 92% cheaper on a blended 3:1 input-to-output production workload ($0.135/1M blended vs $1.60/1M for Claude 3.5 Haiku). Llama 4 Scout (10M Context MoE) charges $0.08/1M input and $0.30/1M output, while Claude 3.5 Haiku charges $0.80/1M input and $4.00/1M output.
How much does Llama 4 Scout (10M Context MoE) vs Claude 3.5 Haiku 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 Claude 3.5 Haiku costs $21,600/month uncached ($14,796/mo with 75% prompt cache hits). Routing to Llama 4 Scout (10M Context MoE) saves $19,728/month ($236,736/year).
How much does Prompt Caching save on Llama 4 Scout (10M Context MoE) vs Claude 3.5 Haiku?
Llama 4 Scout (10M Context MoE) offers cached input reads at $0.04/1M tokens, while Claude 3.5 Haiku offers cached reads at $0.08/1M 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 Claude 3.5 Haiku drops from $21,600 to $14,796.
Which model has faster token generation speed and larger context: Llama 4 Scout (10M Context MoE) or Claude 3.5 Haiku?
Llama 4 Scout (10M Context MoE) delivers higher throughput at 590 tokens/sec (TTFT 110ms) compared to 135 tokens/sec. For context window, Llama 4 Scout (10M Context MoE) supports 1.3M tokens (1,310,720) while Claude 3.5 Haiku supports 200K tokens (200,000).
6. Related FinOps Comparisons & Model Calculators
Llama 4 Scout (10M Context MoE) Pricing Calculator
Full host arbitrage & DAU cost breakdown →
Claude 3.5 Haiku Pricing Calculator
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