Venice: Uncensored vs Qwen2.5 Coder 32B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Venice: Uncensored (cognitivecomputations/dolphin-mistral-24b-venice-edition) vs Qwen2.5 Coder 32B Instruct (qwen/qwen-2.5-coder-32b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Venice: Uncensored (cognitivecomputations/dolphin-mistral-24b-venice-edition) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Venice: Uncensored: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1/1M) or route via asynchronous Batch API for 50% off standard token rates.
Qwen2.5 Coder 32B Instruct (qwen/qwen-2.5-coder-32b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen2.5 Coder 32B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.33/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Venice: Uncensored (API ID: cognitivecomputations/dolphin-mistral-24b-venice-edition) vs Qwen2.5 Coder 32B Instruct (API ID: qwen/qwen-2.5-coder-32b-instruct), Venice: Uncensored offers lower standard input pricing at $0.2/1M tokens ($0.9/1M output), while Venice: Uncensored leads in cached prefix economics at $0.1/1M tokens (50% discount). Venice: Uncensored 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 | Venice: Uncensored | Qwen2.5 Coder 32B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | cognitivecomputations/dolphin-mistral-24b-venice-edition | qwen/qwen-2.5-coder-32b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $0.9 | $0.66 / $1 | Venice: Uncensored |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.33/1M (50% Off) | Venice: Uncensored |
| Context Window / Max Output | 125K In / 8K Out | 32K In / 29K Out | Qwen2.5 Coder 32B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | Venice: Uncensored (-0ms) |
Venice: Uncensored
API ID: cognitivecomputations/dolphin-mistral-24b-venice-edition • Live RegistryVenice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Sig
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 Venice: Uncensored to Qwen2.5 Coder 32B Instruct
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Sig Verified P90 latency of 280ms.