o1 vs Qwen 3.8 27B
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: o1 or Qwen 3.8 27B?
Verified Performance & Unit Economics Delta
Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.
| Metric / Dimension | o1 | Qwen 3.8 27B | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $15.00 | $0.20 | Qwen 3.8 27B is 75.0x cheaper |
| Output Cost / 1M Tokens | $60.00 | $0.60 | Qwen 3.8 27B (99.0% lower) |
| Prompt Cache Read / 1M | $7.500 | $0.050 | Qwen 3.8 27B is 150.0x cheaper |
| Prompt Cache Write / 1M | $15.00 | $0.20 | Qwen 3.8 27B is 75.0x cheaper |
| Avg TTFT Response Latency | 2600ms | 120ms | Qwen 3.8 27B (+2480ms faster) |
| SWE-bench Verified (Coding) | 48.9% | 58.4% | Qwen 3.8 27B (+9.5% lead) |
| Inference Value Score (IVR) | 35.5 / 100 | 75.7 / 100 | Qwen 3.8 27B (+40.2 pts) |
Interactive Monthly Token Economics & ROI Forecaster
Model your expected production workload across prompt (input) and completion (output) tokens with prompt caching economics.
Estimated Monthly Spend
$15.00/1M in · $60.00/1M out
Prompt Cache: $7.500/1M read · $15.00/1M write
$0.20/1M in · $0.60/1M out
Prompt Cache: $0.050/1M read · $0.20/1M write
When to Choose o1
Choose o1 when you need Heavyweight reasoning model engineered for academic research, complex mathematics, and deep multimodal analysis. and have an infrastructure budget aligned with $15.00/1M tokens.
When to Choose Qwen 3.8 27B
Choose Qwen 3.8 27B when you need High-performance 27B open weights optimized for local deployment, code generation, and low-latency production pipelines. and prioritize Alibaba Cloud ecosystem integration at $0.20/1M tokens.
Related Questions & Decision Factors
Which is cheaper: o1 or Qwen 3.8 27B?
Qwen 3.8 27B is cheaper at $0.20/1M input tokens compared to $15.00/1M for o1.
Which model has lower latency: o1 or Qwen 3.8 27B?
Qwen 3.8 27B delivers faster response times with an average TTFT of 120ms vs 2600ms for o1.
When should you choose o1?
Choose o1 when you need Heavyweight reasoning model engineered for academic research, complex mathematics, and deep multimodal analysis. and have an infrastructure budget aligned with $15.00/1M tokens.
When should you choose Qwen 3.8 27B?
Choose Qwen 3.8 27B when you need High-performance 27B open weights optimized for local deployment, code generation, and low-latency production pipelines. and prioritize Alibaba Cloud ecosystem integration at $0.20/1M tokens.