Qwen2.5 Coder 32B Instruct vs Mistral: Voxtral Small 24B 2507: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen2.5 Coder 32B Instruct (qwen/qwen-2.5-coder-32b-instruct) vs Mistral: Voxtral Small 24B 2507 (mistralai/voxtral-small-24b-2507). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
Mistral: Voxtral Small 24B 2507 (mistralai/voxtral-small-24b-2507) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Voxtral Small 24B 2507: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Qwen2.5 Coder 32B Instruct (API ID: qwen/qwen-2.5-coder-32b-instruct) vs Mistral: Voxtral Small 24B 2507 (API ID: mistralai/voxtral-small-24b-2507), Mistral: Voxtral Small 24B 2507 offers lower standard input pricing at $0.1/1M tokens ($0.3/1M output), while Mistral: Voxtral Small 24B 2507 leads in cached prefix economics at $0.05/1M tokens (50% discount). Qwen2.5 Coder 32B Instruct 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 | Qwen2.5 Coder 32B Instruct | Mistral: Voxtral Small 24B 2507 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen-2.5-coder-32b-instruct | mistralai/voxtral-small-24b-2507 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.66 / $1 | $0.1 / $0.3 | Mistral: Voxtral Small 24B 2507 |
| Cache Read Price (per 1M) | $0.33/1M (50% Off) | $0.05/1M (50% Off) | Mistral: Voxtral Small 24B 2507 |
| Context Window / Max Output | 32K In / 29K Out | 32K In / 26K Out | Qwen2.5 Coder 32B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen2.5 Coder 32B Instruct (-0ms) |
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
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech tran
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 Qwen2.5 Coder 32B Instruct to Mistral: Voxtral Small 24B 2507
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech tran Verified P90 latency of 280ms.