Mistral: Mistral Medium 3.5 (batch) vs Reflection: Beam 1.0 501B A23B: Live Promos, Pricing, Hidden Fees & Latency
Mistral: Mistral Medium 3.5 (batch) (mistralai/mistral-medium-3-5:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.5 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to 0.375/1M) or route via asynchronous Batch API for 50% off standard token rates.
Reflection: Beam 1.0 501B A23B (reflection/beam-1.0-501b-a23b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Reflection: Beam 1.0 501B A23B: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Mistral: Mistral Medium 3.5 (batch) (API ID: mistralai/mistral-medium-3-5:batch) vs Reflection: Beam 1.0 501B A23B (API ID: reflection/beam-1.0-501b-a23b), Reflection: Beam 1.0 501B A23B offers lower standard input pricing at $0.3/1M tokens ($1/1M output), while Reflection: Beam 1.0 501B A23B leads in cached prefix economics at $0.15/1M tokens (50% discount). Mistral: Mistral Medium 3.5 (batch) 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 | Mistral: Mistral Medium 3.5 (batch) | Reflection: Beam 1.0 501B A23B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-medium-3-5:batch | reflection/beam-1.0-501b-a23b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.75 / $3.75 | $0.3 / $1 | Reflection: Beam 1.0 501B A23B |
| Cache Read Price (per 1M) | $0.375/1M (50% Off) | $0.15/1M (50% Off) | Reflection: Beam 1.0 501B A23B |
| Context Window / Max Output | 256K In / 205K Out | 1024K In / 922K Out | Reflection: Beam 1.0 501B A23B |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Medium 3.5 (batch) (-0ms) |
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, a
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active
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 Mistral: Mistral Medium 3.5 (batch) to Reflection: Beam 1.0 501B A23B
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active Verified P90 latency of 280ms.