OpenAI o3-mini vs Qwen 3.8 27B
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: OpenAI o3-mini or Qwen 3.8 27B?
Verified Performance & Unit Economics Delta
Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.
| Metric / Dimension | OpenAI o3-mini | Qwen 3.8 27B | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $1.10 | $0.20 | Qwen 3.8 27B is 5.5x cheaper |
| Output Cost / 1M Tokens | $4.40 | $0.60 | Qwen 3.8 27B (86.4% lower) |
| Prompt Cache Read / 1M | $0.550 | $0.050 | Qwen 3.8 27B is 11.0x cheaper |
| Prompt Cache Write / 1M | $1.10 | $0.20 | Qwen 3.8 27B is 5.5x cheaper |
| Avg TTFT Response Latency | 1250ms | 120ms | Qwen 3.8 27B (+1130ms faster) |
| SWE-bench Verified (Coding) | 49.3% | 58.4% | Qwen 3.8 27B (+9.1% lead) |
| Inference Value Score (IVR) | 58.2 / 100 | 75.7 / 100 | Qwen 3.8 27B (+17.5 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
$1.10/1M in · $4.40/1M out
Prompt Cache: $0.550/1M read · $1.10/1M write
$0.20/1M in · $0.60/1M out
Prompt Cache: $0.050/1M read · $0.20/1M write
When to Choose OpenAI o3-mini
Choose OpenAI o3-mini when you need High-throughput STEM reasoning, competitive coding, and low-latency algorithmic problem solving with configurable thinking effort. and have an infrastructure budget aligned with $1.10/1M 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: OpenAI o3-mini or Qwen 3.8 27B?
Qwen 3.8 27B is cheaper at $0.20/1M input tokens compared to $1.10/1M for OpenAI o3-mini.
Which model has lower latency: OpenAI o3-mini or Qwen 3.8 27B?
Qwen 3.8 27B delivers faster response times with an average TTFT of 120ms vs 1250ms for OpenAI o3-mini.
When should you choose OpenAI o3-mini?
Choose OpenAI o3-mini when you need High-throughput STEM reasoning, competitive coding, and low-latency algorithmic problem solving with configurable thinking effort. and have an infrastructure budget aligned with $1.10/1M 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.