Llama 4 Maverick vs Qwen 2.5 72B Instruct
Qwen 2.5 72B Instruct Saves 29%
Synced 2026-10-30
Llama 4 Maverick (17B-128E MoE) vs Qwen 2.5 72B Instruct API Cost Calculator
Side-by-side FinOps unit economics audit comparing Llama 4 Maverick (17B-128E MoE) (DeepInfra) against Qwen 2.5 72B Instruct (DeepInfra). Switching or hybrid-routing 80% of traffic to Qwen 2.5 72B Instruct cuts blended token spend by 29% and saves $1,170/mo ($14,040/yr) at 10,000 DAU.
Cost Efficiency Winner
Qwen 2.5 72B Instruct
$0.188/1M blended tokens (29% lower than Llama 4 Maverick (17B-128E MoE) at $0.265/1M)
10,000 DAU Monthly Delta
$1,170/mo
Saves $14,040/year on 12.6B input + 2.88B output tokens/mo
Throughput & Latency Winner
Llama 4 Maverick (17B-128E 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 Maverick (17B-128E MoE) (DeepInfra) | Qwen 2.5 72B Instruct (DeepInfra) | Arbitrage Advantage |
|---|---|---|---|
| Input Price (per 1M tokens) | $0.19 / 1M | $0.12 / 1M | Qwen 2.5 72B Instruct (1.6x cheaper) |
| Output Price (per 1M tokens) | $0.49 / 1M | $0.39 / 1M | Qwen 2.5 72B Instruct (1.3x cheaper) |
| Cached Input Read (per 1M) | $0.095 / 1M | $0.06 / 1M | Prompt Cache Hit Discount Ready |
| Blended 3:1 RAG Rate (per 1M) | $0.265 / 1M | $0.188 / 1M | 29% savings with Qwen 2.5 72B Instruct |
| Context Window / Max Output | 524K (524,288) / 16K out | 33K (32,768) / 16K out | Llama 4 Maverick (17B-128E MoE) larger context |
| Streaming Speed & TTFT | 148 tok/s (210ms TTFT) | 105 tok/s (260ms TTFT) | Llama 4 Maverick (17B-128E 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 Maverick (17B-128E MoE) Monthly Bill | Qwen 2.5 72B Instruct Monthly Bill | Monthly Savings (Qwen 2.5 72B Instruct) |
|---|---|---|---|---|
| 1,000 DAU (Seed / MVP) | 1.26B in / 288M out | $380.52/mo | $263.52/mo | Save $117.00/mo |
| 10,000 DAU (Growth SaaS) | 12.6B in / 2.88B out | $3,805/mo | $2,635/mo | Save $1,170/mo ($14,040/yr) |
| 50,000 DAU (Enterprise Scale) | 63.0B in / 14.4B out | $19,026/mo | $13,176/mo | Save $5,850/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 Maverick (17B-128E MoE) (Read @ $0.095/1M) | Qwen 2.5 72B Instruct (Read @ $0.06/1M) | Combined Hybrid Router + 75% Cache |
|---|---|---|---|
| 0% Cache Hit (Cold Prompts) | $3,805/mo | $2,635/mo | $2,869/mo |
| 50% Cache Hit (Standard Chat) | $3,207/mo | $2,257/mo | $2,447/mo |
| 75% Cache Hit (Production Agent/RAG) | $2,907/mo | $2,068/mo | $2,236/mo |
| 90% Cache Hit (Heavy Document Context) | $2,728/mo | $1,955/mo | $2,109/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 Maverick (17B-128E MoE) and Qwen 2.5 72B 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 |
|---|---|---|---|---|---|---|---|
| Qwen 2.5 72B Instruct | DigitalOcean GPU Droplets ($200 Free Credit) #1 Smart Router Pick | $0.12 | $0.39 | $0.06 | 220ms <400ms SLA ✓ | 127 tok/s | Deploy ($200 Free 60-Day Cloud Credit) → |
| Qwen 2.5 72B Instruct | Vultr Cloud GPU ($300 Free Credit) | $0.12 | $0.39 | $0.06 | 224ms <400ms SLA ✓ | 125 tok/s | Deploy ($300 Free GPU Cloud Credit) → |
| Qwen 2.5 72B Instruct | RunPod Serverless vLLM ($5–$500 Bonus) | $0.12 | $0.39 | $0.06 | 233ms <400ms SLA ✓ | 120 tok/s | Deploy ($5–$500 Free Bonus Credit) → |
| Qwen 2.5 72B Instruct | DeepInfra | $0.12 | $0.39 | $0.06 | 267ms <400ms SLA ✓ | 105 tok/s | Deploy (Get $50 Free API Credits) → |
| Llama 4 Maverick (17B-128E MoE) | DigitalOcean GPU Droplets ($200 Free Credit) | $0.19 | $0.49 | $0.095 | 165ms <400ms SLA ✓ | 170 tok/s | Deploy ($200 Free 60-Day Cloud Credit) → |
| Llama 4 Maverick (17B-128E MoE) | Vultr Cloud GPU ($300 Free Credit) | $0.19 | $0.49 | $0.095 | 167ms <400ms SLA ✓ | 168 tok/s | Deploy ($300 Free GPU Cloud Credit) → |
| Llama 4 Maverick (17B-128E MoE) | RunPod Serverless vLLM ($5–$500 Bonus) | $0.19 | $0.49 | $0.095 | 172ms <400ms SLA ✓ | 163 tok/s | Deploy ($5–$500 Free Bonus Credit) → |
| Llama 4 Maverick (17B-128E MoE) | DeepInfra (Lowest Price) | $0.19 | $0.49 | $0.095 | 189ms <400ms SLA ✓ | 148 tok/s | Deploy (Get $50 Free API Credits) → |
| Llama 4 Maverick (17B-128E MoE) | Fireworks AI | $0.22 | $0.88 | $0.11 | 160ms <400ms SLA ✓ | 175 tok/s | Deploy ($50 Free FireAttention Credits) → |
| Llama 4 Maverick (17B-128E MoE) | Together AI | $0.27 | $0.85 | $0.135 | 175ms <400ms SLA ✓ | 160 tok/s | Deploy ($25 Free Inference Credits) → |
| Qwen 2.5 72B Instruct | Together AI | $0.80 | $0.80 | $0.40 | 233ms <400ms SLA ✓ | 120 tok/s | Deploy ($25 Free Inference Credits) → |
| Qwen 2.5 72B Instruct | Fireworks AI | $0.90 | $0.90 | $0.45 | 193ms <400ms SLA ✓ | 145 tok/s | Deploy ($50 Free FireAttention Credits) → |
⚡ Smart Router Disparity Anchor: Routing 80% of turns to DigitalOcean GPU Droplets ($200 Free Credit) saves 29% while keeping Time-to-First-Token under the 400ms real-time UX threshold.
5. Frequently Asked Questions (Llama 4 Maverick (17B-128E MoE) vs Qwen 2.5 72B Instruct)
Is Llama 4 Maverick (17B-128E MoE) or Qwen 2.5 72B Instruct cheaper per 1M tokens in production?
Qwen 2.5 72B Instruct is 29% cheaper on a blended 3:1 input-to-output production workload ($0.188/1M blended vs $0.265/1M for Llama 4 Maverick (17B-128E MoE)). Llama 4 Maverick (17B-128E MoE) charges $0.19/1M input and $0.49/1M output, while Qwen 2.5 72B Instruct charges $0.12/1M input and $0.39/1M output.
How much does Llama 4 Maverick (17B-128E MoE) vs Qwen 2.5 72B 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 Maverick (17B-128E MoE) costs $3,805/month uncached ($2,907/mo with 75% prompt cache hits), whereas Qwen 2.5 72B Instruct costs $2,635/month uncached ($2,068/mo with 75% prompt cache hits). Routing to Qwen 2.5 72B Instruct saves $1,170/month ($14,040/year).
How much does Prompt Caching save on Llama 4 Maverick (17B-128E MoE) vs Qwen 2.5 72B Instruct?
Llama 4 Maverick (17B-128E MoE) offers cached input reads at $0.095/1M tokens, while Qwen 2.5 72B Instruct offers cached reads at $0.06/1M tokens. At a 75% system-prompt/RAG cache hit rate, Llama 4 Maverick (17B-128E MoE) monthly spend drops from $3,805 to $2,907, and Qwen 2.5 72B Instruct drops from $2,635 to $2,068.
Which model has faster token generation speed and larger context: Llama 4 Maverick (17B-128E MoE) or Qwen 2.5 72B Instruct?
Llama 4 Maverick (17B-128E MoE) delivers higher throughput at 148 tokens/sec (TTFT 210ms) compared to 105 tokens/sec. For context window, Llama 4 Maverick (17B-128E MoE) supports 524K tokens (524,288) while Qwen 2.5 72B Instruct supports 33K tokens (32,768).
6. Related FinOps Comparisons & Model Calculators
Llama 4 Maverick (17B-128E MoE) Pricing Calculator
Full host arbitrage & DAU cost breakdown →
Qwen 2.5 72B Instruct Pricing Calculator
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