InternLM Internlm2.5 20B Chat vs 01.AI Yi Coder 9B Chat: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing InternLM Internlm2.5 20B Chat (internlm/internlm2.5-20b-chat) vs 01.AI Yi Coder 9B Chat (01-ai/yi-coder-9b-chat). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
InternLM Internlm2.5 20B Chat (internlm/internlm2.5-20b-chat) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for InternLM Internlm2.5 20B Chat: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.01/1M) or route via asynchronous Batch API for 50% off standard token rates.
01.AI Yi Coder 9B Chat (01-ai/yi-coder-9b-chat) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for 01.AI Yi Coder 9B Chat: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.005/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing InternLM Internlm2.5 20B Chat (API ID: internlm/internlm2.5-20b-chat) vs 01.AI Yi Coder 9B Chat (API ID: 01-ai/yi-coder-9b-chat), 01.AI Yi Coder 9B Chat offers lower standard input pricing at $0.05/1M tokens ($0.1/1M output), while 01.AI Yi Coder 9B Chat leads in cached prefix economics at $0.005/1M tokens (90% discount). InternLM Internlm2.5 20B Chat achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.1/$0.3 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.05/$0.1 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | InternLM Internlm2.5 20B Chat | 01.AI Yi Coder 9B Chat | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | internlm/internlm2.5-20b-chat | 01-ai/yi-coder-9b-chat | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.3 | $0.05 / $0.1 | 01.AI Yi Coder 9B Chat |
| Cache Read Price (per 1M) | $0.01/1M (90% Off) | $0.005/1M (90% Off) | 01.AI Yi Coder 9B Chat |
| Context Window / Max Output | 128K In / 64K Out | 128K In / 64K Out | InternLM Internlm2.5 20B Chat |
| P90 First-Token / Edge Latency | 195ms | 195ms | InternLM Internlm2.5 20B Chat (-0ms) |
InternLM Internlm2.5 20B Chat (internlm/internlm2.5-20b-chat): OpenRouter gateway-synced model at $0.1/1M input, $0.3/1M output, $0.01/1M cached input (128K context window).
01.AI Yi Coder 9B Chat (01-ai/yi-coder-9b-chat): OpenRouter gateway-synced model at $0.05/1M input, $0.1/1M output, $0.005/1M cached input (128K context window).
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 InternLM Internlm2.5 20B Chat to 01.AI Yi Coder 9B Chat
01.AI Yi Coder 9B Chat (01-ai/yi-coder-9b-chat): OpenRouter gateway-synced model at $0.05/1M input, $0.1/1M output, $0.005/1M cached input (128K context window). Verified P90 latency of 195ms.