Mistral: Mistral Medium 3.5 vs OpenAI: gpt-oss-20b (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Medium 3.5 (mistralai/mistral-medium-3-5) vs OpenAI: gpt-oss-20b (batch) (openai/gpt-oss-20b:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Medium 3.5 (mistralai/mistral-medium-3-5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.75/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: gpt-oss-20b (batch) (openai/gpt-oss-20b:batch) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing Mistral: Mistral Medium 3.5 (API ID: mistralai/mistral-medium-3-5) vs OpenAI: gpt-oss-20b (batch) (API ID: openai/gpt-oss-20b:batch), OpenAI: gpt-oss-20b (batch) offers lower standard input pricing at $0.024/1M tokens ($0.112/1M output), while OpenAI: gpt-oss-20b (batch) leads in cached prefix economics at $0.012/1M tokens (50% discount). Mistral: Mistral Medium 3.5 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 | OpenAI: gpt-oss-20b (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-medium-3-5 | openai/gpt-oss-20b:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.5 / $7.5 | $0.024 / $0.112 | OpenAI: gpt-oss-20b (batch) |
| Cache Read Price (per 1M) | $0.75/1M (50% Off) | $0.012/1M (50% Off) | OpenAI: gpt-oss-20b (batch) |
| Context Window / Max Output | 256K In / 205K Out | 128K In / 115K Out | Mistral: Mistral Medium 3.5 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Medium 3.5 (-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
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per f
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 to OpenAI: gpt-oss-20b (batch)
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per f Verified P90 latency of 280ms.