Meta Llama Llama 3.1 405B vs DeepSeek Deepseek R1 Distill Qwen 1.5B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta Llama Llama 3.1 405B (meta-llama/llama-3.1-405b) vs DeepSeek Deepseek R1 Distill Qwen 1.5B (deepseek/deepseek-r1-distill-qwen-1.5b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta Llama Llama 3.1 405B (meta-llama/llama-3.1-405b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta Llama Llama 3.1 405B: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.08/1M) or route via asynchronous Batch API for 50% off standard token rates.
DeepSeek Deepseek R1 Distill Qwen 1.5B (deepseek/deepseek-r1-distill-qwen-1.5b) — Automatic Disk KV Cache (0.0015/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.022/1M off-peak input tokens (vs $0.66 off-peak base) with zero code changes required, plus off-peak UTC scheduling discounts.
In Etuki October 2026 FinOps telemetry comparing Meta Llama Llama 3.1 405B (API ID: meta-llama/llama-3.1-405b) vs DeepSeek Deepseek R1 Distill Qwen 1.5B (API ID: deepseek/deepseek-r1-distill-qwen-1.5b), DeepSeek Deepseek R1 Distill Qwen 1.5B offers lower standard input pricing at $0.015/1M tokens ($0.03/1M output), while DeepSeek Deepseek R1 Distill Qwen 1.5B leads in cached prefix economics at $0.0015/1M tokens (90% discount). Meta Llama Llama 3.1 405B achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.8/$0.8 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.015/$0.03 per 1M, flat 64K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | Meta Llama Llama 3.1 405B | DeepSeek Deepseek R1 Distill Qwen 1.5B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta-llama/llama-3.1-405b | deepseek/deepseek-r1-distill-qwen-1.5b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.8 / $0.8 | $0.015 / $0.03 | DeepSeek Deepseek R1 Distill Qwen 1.5B |
| Cache Read Price (per 1M) | $0.08/1M (90% Off) | $0.0015/1M (90% Off) | DeepSeek Deepseek R1 Distill Qwen 1.5B |
| Context Window / Max Output | 128K In / 64K Out | 64K In / 64K Out | Meta Llama Llama 3.1 405B |
| P90 First-Token / Edge Latency | 195ms | 195ms | Meta Llama Llama 3.1 405B (-0ms) |
Meta Llama Llama 3.1 405B (meta-llama/llama-3.1-405b): OpenRouter gateway-synced model at $0.8/1M input, $0.8/1M output, $0.08/1M cached input (128K context window).
DeepSeek Deepseek R1 Distill Qwen 1.5B
API ID: deepseek/deepseek-r1-distill-qwen-1.5b • OpenRouter SyncedDeepSeek Deepseek R1 Distill Qwen 1.5B (deepseek/deepseek-r1-distill-qwen-1.5b): OpenRouter gateway-synced model at $0.015/1M input, $0.03/1M output, $0.0015/1M cached input (64K context window).
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
⚡Switch from Meta Llama Llama 3.1 405B to DeepSeek Deepseek R1 Distill Qwen 1.5B
DeepSeek Deepseek R1 Distill Qwen 1.5B (deepseek/deepseek-r1-distill-qwen-1.5b): OpenRouter gateway-synced model at $0.015/1M input, $0.03/1M output, $0.0015/1M cached input (64K context window). Verified P90 latency of 195ms.