Upstage: Solar Mini 4 vs Meta: Llama 3.3 70B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Upstage: Solar Mini 4 (upstage/solar-mini4) vs Meta: Llama 3.3 70B Instruct (meta-llama/llama-3.3-70b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Upstage: Solar Mini 4 (upstage/solar-mini4) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Upstage: Solar Mini 4: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.025/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meta: Llama 3.3 70B Instruct (meta-llama/llama-3.3-70b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama 3.3 70B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.295/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Upstage: Solar Mini 4 (API ID: upstage/solar-mini4) vs Meta: Llama 3.3 70B Instruct (API ID: meta-llama/llama-3.3-70b-instruct), Upstage: Solar Mini 4 offers lower standard input pricing at $0.05/1M tokens ($0.2/1M output), while Upstage: Solar Mini 4 leads in cached prefix economics at $0.025/1M tokens (50% discount). Upstage: Solar Mini 4 achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Upstage: Solar Mini 4 | Meta: Llama 3.3 70B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | upstage/solar-mini4 | meta-llama/llama-3.3-70b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.2 | $0.59 / $0.79 | Upstage: Solar Mini 4 |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $0.295/1M (50% Off) | Upstage: Solar Mini 4 |
| Context Window / Max Output | 512K In / 128K Out | 128K In / 32K Out | Upstage: Solar Mini 4 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Upstage: Solar Mini 4 (-0ms) |
Solar Mini 4 is Upstage's compact, cost-efficient language model, a 35B-parameter mixture-of-experts with 3B active parameters and a 524K context window. It is built for agentic us
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text on
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 Upstage: Solar Mini 4 to Meta: Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text on Verified P90 latency of 280ms.