Arcee AI Caller Large vs Alibaba Qwen Qwen 2.5 Vl 32B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Arcee AI Caller Large (arcee-ai/caller-large) vs Alibaba Qwen Qwen 2.5 Vl 32B Instruct (qwen/qwen-2.5-vl-32b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Arcee AI Caller Large (arcee-ai/caller-large) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Arcee AI Caller Large: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.03/1M) or route via asynchronous Batch API for 50% off standard token rates.
Alibaba Qwen Qwen 2.5 Vl 32B Instruct (qwen/qwen-2.5-vl-32b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Alibaba Qwen Qwen 2.5 Vl 32B Instruct: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.009/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Arcee AI Caller Large (API ID: arcee-ai/caller-large) vs Alibaba Qwen Qwen 2.5 Vl 32B Instruct (API ID: qwen/qwen-2.5-vl-32b-instruct), Alibaba Qwen Qwen 2.5 Vl 32B Instruct offers lower standard input pricing at $0.09/1M tokens ($0.27/1M output), while Alibaba Qwen Qwen 2.5 Vl 32B Instruct leads in cached prefix economics at $0.009/1M tokens (90% discount). Arcee AI Caller Large achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.3/$0.9 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.09/$0.27 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | Arcee AI Caller Large | Alibaba Qwen Qwen 2.5 Vl 32B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | arcee-ai/caller-large | qwen/qwen-2.5-vl-32b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.3 / $0.9 | $0.09 / $0.27 | Alibaba Qwen Qwen 2.5 Vl 32B Instruct |
| Cache Read Price (per 1M) | $0.03/1M (90% Off) | $0.009/1M (90% Off) | Alibaba Qwen Qwen 2.5 Vl 32B Instruct |
| Context Window / Max Output | 128K In / 64K Out | 128K In / 64K Out | Arcee AI Caller Large |
| P90 First-Token / Edge Latency | 195ms | 195ms | Arcee AI Caller Large (-0ms) |
Arcee AI Caller Large (arcee-ai/caller-large): OpenRouter gateway-synced model at $0.3/1M input, $0.9/1M output, $0.03/1M cached input (128K context window).
Alibaba Qwen Qwen 2.5 Vl 32B Instruct (qwen/qwen-2.5-vl-32b-instruct): OpenRouter gateway-synced model at $0.09/1M input, $0.27/1M output, $0.009/1M 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 Arcee AI Caller Large to Alibaba Qwen Qwen 2.5 Vl 32B Instruct
Alibaba Qwen Qwen 2.5 Vl 32B Instruct (qwen/qwen-2.5-vl-32b-instruct): OpenRouter gateway-synced model at $0.09/1M input, $0.27/1M output, $0.009/1M cached input (128K context window). Verified P90 latency of 195ms.