OpenAI: gpt-oss-120b (batch) vs MoonshotAI: Kimi K2 Thinking: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: gpt-oss-120b (batch) (openai/gpt-oss-120b:batch) vs MoonshotAI: Kimi K2 Thinking (moonshotai/kimi-k2-thinking). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: gpt-oss-120b (batch) (openai/gpt-oss-120b: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).
MoonshotAI: Kimi K2 Thinking (moonshotai/kimi-k2-thinking) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2 Thinking: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.3/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: gpt-oss-120b (batch) (API ID: openai/gpt-oss-120b:batch) vs MoonshotAI: Kimi K2 Thinking (API ID: moonshotai/kimi-k2-thinking), OpenAI: gpt-oss-120b (batch) offers lower standard input pricing at $0.0296/1M tokens ($0.136/1M output), while OpenAI: gpt-oss-120b (batch) leads in cached prefix economics at $0.0148/1M tokens (50% discount). OpenAI: gpt-oss-120b (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 | OpenAI: gpt-oss-120b (batch) | MoonshotAI: Kimi K2 Thinking | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-oss-120b:batch | moonshotai/kimi-k2-thinking | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.0296 / $0.136 | $0.6 / $2.5 | OpenAI: gpt-oss-120b (batch) |
| Cache Read Price (per 1M) | $0.0148/1M (50% Off) | $0.3/1M (50% Off) | OpenAI: gpt-oss-120b (batch) |
| Context Window / Max Output | 128K In / 115K Out | 256K In / 96K Out | OpenAI: gpt-oss-120b (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: gpt-oss-120b (batch) (-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
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-
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 (batch) to MoonshotAI: Kimi K2 Thinking
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture- Verified P90 latency of 280ms.