OpenAI: gpt-oss-120b vs DeepSeek: DeepSeek V4.1 Flash 1017: Live Promos, Pricing, Hidden Fees & Latency
OpenAI: gpt-oss-120b (openai/gpt-oss-120b) 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).
DeepSeek: DeepSeek V4.1 Flash 1017 (deepseek/deepseek-v4.1-flash-1017) — Automatic Disk KV Cache (0.075/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
In Etuki October 2026 FinOps telemetry comparing OpenAI: gpt-oss-120b (API ID: openai/gpt-oss-120b) vs DeepSeek: DeepSeek V4.1 Flash 1017 (API ID: deepseek/deepseek-v4.1-flash-1017), OpenAI: gpt-oss-120b offers lower standard input pricing at $0.15/1M tokens ($0.6/1M output), while OpenAI: gpt-oss-120b leads in cached prefix economics at $0.075/1M tokens (50% discount). OpenAI: gpt-oss-120b 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 | OpenAI: gpt-oss-120b | DeepSeek: DeepSeek V4.1 Flash 1017 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-oss-120b | deepseek/deepseek-v4.1-flash-1017 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $0.6 | $0.15 / $0.6 | OpenAI: gpt-oss-120b |
| Cache Read Price (per 1M) | $0.075/1M (50% Off) | $0.075/1M (50% Off) | OpenAI: gpt-oss-120b |
| Context Window / Max Output | 128K In / 64K Out | 1024K In / 384K Out | DeepSeek: DeepSeek V4.1 Flash 1017 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: gpt-oss-120b (-0ms) |
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. I
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-ex
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 OpenAI: gpt-oss-120b to DeepSeek: DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-ex Verified P90 latency of 280ms.