Recursive: Flint (free) vs Qwen: Qwen3 30B A3B: Live Promos, Pricing, Hidden Fees & Latency
Recursive: Flint (free) (recursive/flint-v1.0:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Recursive: Flint (free): Activate ephemeral prefix caching to slash input costs by 50% (down to 0/1M) or route via asynchronous Batch API for 50% off standard token rates.
Qwen: Qwen3 30B A3B (qwen/qwen3-30b-a3b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 30B A3B: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.024/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Recursive: Flint (free) (API ID: recursive/flint-v1.0:free) vs Qwen: Qwen3 30B A3B (API ID: qwen/qwen3-30b-a3b), Recursive: Flint (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Recursive: Flint (free) leads in cached prefix economics at $0/1M tokens (50% discount). Recursive: Flint (free) 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 | Recursive: Flint (free) | Qwen: Qwen3 30B A3B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | recursive/flint-v1.0:free | qwen/qwen3-30b-a3b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $0.12 / $0.5 | Recursive: Flint (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $0.024/1M (50% Off) | Recursive: Flint (free) |
| Context Window / Max Output | 256K In / 230K Out | 40K In / 16K Out | Recursive: Flint (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Recursive: Flint (free) (-0ms) |
Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for cod
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, an
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 Recursive: Flint (free) to Qwen: Qwen3 30B A3B
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, an Verified P90 latency of 280ms.