DeepSeek Deepseek Coder V2 Instruct vs OpenAI GPT-5.6 Terra (Legacy): Live Promos, Pricing, Hidden Fees & Latency
DeepSeek Deepseek Coder V2 Instruct (deepseek/deepseek-coder-v2-instruct) — Automatic Disk KV Cache (0.014/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.022/1M off-peak input tokens (vs $0.66 off-peak base) with zero code changes required, plus off-peak UTC scheduling discounts.
OpenAI GPT-5.6 Terra (Legacy) (gpt-5.6-terra) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 95% automatic prefix caching ($0.10/1M), 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 DeepSeek Deepseek Coder V2 Instruct (API ID: deepseek/deepseek-coder-v2-instruct) vs OpenAI GPT-5.6 Terra (Legacy) (API ID: gpt-5.6-terra), DeepSeek Deepseek Coder V2 Instruct offers lower standard input pricing at $0.14/1M tokens ($0.28/1M output), while DeepSeek Deepseek Coder V2 Instruct leads in cached prefix economics at $0.014/1M tokens (90% discount). OpenAI GPT-5.6 Terra (Legacy) achieves a 30ms faster P90 time-to-first-token latency (165ms vs 195ms).
Gateway-synced rate ($0.14/$0.28 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Flat context pricing ($2.00/$12.00, Cache $0.20/1M); consider migrating to GPT-6.1 Sol ($2.00/$10.00, Cache $0.10/1M) for 95% cache savings.
| Specification / FinOps Dimension | DeepSeek Deepseek Coder V2 Instruct | OpenAI GPT-5.6 Terra (Legacy) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-coder-v2-instruct | gpt-5.6-terra | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.14 / $0.28 | $2 / $12 | DeepSeek Deepseek Coder V2 Instruct |
| Cache Read Price (per 1M) | $0.014/1M (90% Off) | $0.2/1M (90% Off) | DeepSeek Deepseek Coder V2 Instruct |
| Context Window / Max Output | 128K In / 64K Out | 400K In / 128K Out | OpenAI GPT-5.6 Terra (Legacy) |
| P90 First-Token / Edge Latency | 195ms | 165ms | OpenAI GPT-5.6 Terra (Legacy) (-30ms) |
DeepSeek Deepseek Coder V2 Instruct (deepseek/deepseek-coder-v2-instruct): OpenRouter gateway-synced model at $0.14/1M input, $0.28/1M output, $0.014/1M cached input (128K context window).
OpenAI GPT-5.6 Terra router catalog tier ($2.00/$12.00 per 1M, 400K flat context window, $0.20 cache read).
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 DeepSeek Deepseek Coder V2 Instruct to OpenAI GPT-5.6 Terra (Legacy)
OpenAI GPT-5.6 Terra router catalog tier ($2.00/$12.00 per 1M, 400K flat context window, $0.20 cache read). Verified P90 latency of 165ms.