Grok 2 Vision vs Llama 3.2 90B Vision
Llama 3.2 90B Vision Instruct Saves 91%
Synced 2026-10-30
xAI Grok 2 Vision vs Llama 3.2 90B Vision Instruct API Cost Calculator
Side-by-side FinOps unit economics audit comparing xAI Grok 2 Vision (OpenRouter) against Llama 3.2 90B Vision Instruct (DeepInfra). Switching or hybrid-routing 80% of traffic to Llama 3.2 90B Vision Instruct cuts blended token spend by 91% and saves $48,438/mo ($581,256/yr) at 10,000 DAU.
Cost Efficiency Winner
Llama 3.2 90B Vision Instruct
$0.362/1M blended tokens (91% lower than xAI Grok 2 Vision at $4.00/1M)
10,000 DAU Monthly Delta
$48,438/mo
Saves $581,256/year on 12.6B input + 2.88B output tokens/mo
Throughput & Latency Winner
Llama 3.2 90B Vision Instruct
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 | xAI Grok 2 Vision (OpenRouter) | Llama 3.2 90B Vision Instruct (DeepInfra) | Arbitrage Advantage |
|---|---|---|---|
| Input Price (per 1M tokens) | $2.00 / 1M | $0.35 / 1M | Llama 3.2 90B Vision Instruct (5.7x cheaper) |
| Output Price (per 1M tokens) | $10.00 / 1M | $0.40 / 1M | Llama 3.2 90B Vision Instruct (25.0x cheaper) |
| Cached Input Read (per 1M) | $0.50 / 1M | $0.18 / 1M | Prompt Cache Hit Discount Ready |
| Blended 3:1 RAG Rate (per 1M) | $4.00 / 1M | $0.362 / 1M | 91% savings with Llama 3.2 90B Vision Instruct |
| Context Window / Max Output | 33K (32,768) / 8K out | 131K (131,072) / 8K out | Llama 3.2 90B Vision Instruct larger context |
| Streaming Speed & TTFT | 88 tok/s (360ms TTFT) | 96 tok/s (310ms TTFT) | Llama 3.2 90B Vision Instruct faster generation |
| Capabilities (Tools / Vision / Cache) | Tools: Yes · Vision: Yes · Cache: Yes | Tools: Yes · Vision: Yes · Cache: No | 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 | xAI Grok 2 Vision Monthly Bill | Llama 3.2 90B Vision Instruct Monthly Bill | Monthly Savings (Llama 3.2 90B Vision Instruct) |
|---|---|---|---|---|
| 1,000 DAU (Seed / MVP) | 1.26B in / 288M out | $5,400/mo | $556.20/mo | Save $4,844/mo |
| 10,000 DAU (Growth SaaS) | 12.6B in / 2.88B out | $54,000/mo | $5,562/mo | Save $48,438/mo ($581,256/yr) |
| 50,000 DAU (Enterprise Scale) | 63.0B in / 14.4B out | $270,000/mo | $27,810/mo | Save $242,190/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 | xAI Grok 2 Vision (Read @ $0.50/1M) | Llama 3.2 90B Vision Instruct (Read @ $0.18/1M) | Combined Hybrid Router + 75% Cache |
|---|---|---|---|
| 0% Cache Hit (Cold Prompts) | $54,000/mo | $5,562/mo | $15,250/mo |
| 50% Cache Hit (Standard Chat) | $44,550/mo | $4,491/mo | $12,503/mo |
| 75% Cache Hit (Production Agent/RAG) | $39,825/mo | $3,956/mo | $11,129/mo |
| 90% Cache Hit (Heavy Document Context) | $36,990/mo | $3,634/mo | $10,305/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 xAI Grok 2 Vision and Llama 3.2 90B Vision 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 3.2 90B Vision Instruct | DigitalOcean GPU Droplets ($200 Free Credit) #1 Smart Router Pick | $0.35 | $0.40 | $0.18 | 237ms <400ms SLA ✓ | 118 tok/s | Deploy ($200 Free 60-Day Cloud Credit) → |
| Llama 3.2 90B Vision Instruct | Vultr Cloud GPU ($300 Free Credit) | $0.35 | $0.40 | $0.18 | 241ms <400ms SLA ✓ | 116 tok/s | Deploy ($300 Free GPU Cloud Credit) → |
| Llama 3.2 90B Vision Instruct | RunPod Serverless vLLM ($5–$500 Bonus) | $0.35 | $0.40 | $0.18 | 252ms <400ms SLA ✓ | 111 tok/s | Deploy ($5–$500 Free Bonus Credit) → |
| Llama 3.2 90B Vision Instruct | DeepInfra | $0.35 | $0.40 | $0.18 | 292ms <400ms SLA ✓ | 96 tok/s | Deploy (Get $50 Free API Credits) → |
| Llama 3.2 90B Vision Instruct | Fireworks AI | $0.90 | $0.90 | $0.45 | 215ms <400ms SLA ✓ | 130 tok/s | Deploy ($50 Free FireAttention Credits) → |
| Llama 3.2 90B Vision Instruct | Together AI | $1.20 | $1.20 | $0.60 | 255ms <400ms SLA ✓ | 110 tok/s | Deploy ($25 Free Inference Credits) → |
| xAI Grok 2 Vision | OpenRouter | $2.00 | $10.00 | $0.50 | 318ms <400ms SLA ✓ | 88 tok/s | Deploy (Unified API for 470+ Models) → |
⚡ Smart Router Disparity Anchor: Routing 80% of turns to DigitalOcean GPU Droplets ($200 Free Credit) saves 91% while keeping Time-to-First-Token under the 400ms real-time UX threshold.
5. Frequently Asked Questions (xAI Grok 2 Vision vs Llama 3.2 90B Vision Instruct)
Is xAI Grok 2 Vision or Llama 3.2 90B Vision Instruct cheaper per 1M tokens in production?
Llama 3.2 90B Vision Instruct is 91% cheaper on a blended 3:1 input-to-output production workload ($0.362/1M blended vs $4.00/1M for xAI Grok 2 Vision). xAI Grok 2 Vision charges $2.00/1M input and $10.00/1M output, while Llama 3.2 90B Vision Instruct charges $0.35/1M input and $0.40/1M output.
How much does xAI Grok 2 Vision vs Llama 3.2 90B Vision Instruct cost at 10,000 Daily Active Users (DAU)?
At 10,000 DAU (360,000 requests/day at 3,500 input + 800 output tokens), xAI Grok 2 Vision costs $54,000/month uncached ($39,825/mo with 75% prompt cache hits), whereas Llama 3.2 90B Vision Instruct costs $5,562/month uncached ($3,956/mo with 75% prompt cache hits). Routing to Llama 3.2 90B Vision Instruct saves $48,438/month ($581,256/year).
How much does Prompt Caching save on xAI Grok 2 Vision vs Llama 3.2 90B Vision Instruct?
xAI Grok 2 Vision offers cached input reads at $0.50/1M tokens, while Llama 3.2 90B Vision Instruct offers cached reads at $0.18/1M tokens. At a 75% system-prompt/RAG cache hit rate, xAI Grok 2 Vision monthly spend drops from $54,000 to $39,825, and Llama 3.2 90B Vision Instruct drops from $5,562 to $3,956.
Which model has faster token generation speed and larger context: xAI Grok 2 Vision or Llama 3.2 90B Vision Instruct?
Llama 3.2 90B Vision Instruct delivers higher throughput at 96 tokens/sec (TTFT 310ms) compared to 88 tokens/sec. For context window, xAI Grok 2 Vision supports 33K tokens (32,768) while Llama 3.2 90B Vision Instruct supports 131K tokens (131,072).