DeepSeek-V4 Flash Vision Exp vs Qwen 3.8 27B
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: DeepSeek-V4 Flash Vision Exp or Qwen 3.8 27B?
Verified Performance & Unit Economics Delta
Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.
| Metric / Dimension | DeepSeek-V4 Flash Vision Exp | Qwen 3.8 27B | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $0.14 | $0.20 | DeepSeek-V4 Flash Vision Exp is 1.4x cheaper |
| Output Cost / 1M Tokens | $0.56 | $0.60 | DeepSeek-V4 Flash Vision Exp (6.7% lower) |
| Prompt Cache Read / 1M | $0.014 | $0.050 | DeepSeek-V4 Flash Vision Exp is 3.6x cheaper |
| Prompt Cache Write / 1M | $0.14 | $0.20 | DeepSeek-V4 Flash Vision Exp is 1.4x cheaper |
| Avg TTFT Response Latency | 140ms | 120ms | Qwen 3.8 27B (+20ms faster) |
| SWE-bench Verified (Coding) | 64.2% | 58.4% | DeepSeek-V4 Flash Vision Exp (+5.8% lead) |
| Inference Value Score (IVR) | 79.9 / 100 | 75.7 / 100 | DeepSeek-V4 Flash Vision Exp (+4.2 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
$0.14/1M in · $0.56/1M out
Prompt Cache: $0.014/1M read · $0.14/1M write
$0.20/1M in · $0.60/1M out
Prompt Cache: $0.050/1M read · $0.20/1M write
When to Choose DeepSeek-V4 Flash Vision Exp
Choose DeepSeek-V4 Flash Vision Exp when you need Ultra-low-cost multimodal open weights with 1M context and multi-head latent attention for high-speed document and visual reasoning. and have an infrastructure budget aligned with $0.14/1M 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: DeepSeek-V4 Flash Vision Exp or Qwen 3.8 27B?
DeepSeek-V4 Flash Vision Exp is cheaper at $0.14/1M input tokens compared to $0.20/1M for Qwen 3.8 27B.
Which model has lower latency: DeepSeek-V4 Flash Vision Exp or Qwen 3.8 27B?
Qwen 3.8 27B delivers faster response times with an average TTFT of 120ms vs 140ms for DeepSeek-V4 Flash Vision Exp.
When should you choose DeepSeek-V4 Flash Vision Exp?
Choose DeepSeek-V4 Flash Vision Exp when you need Ultra-low-cost multimodal open weights with 1M context and multi-head latent attention for high-speed document and visual reasoning. and have an infrastructure budget aligned with $0.14/1M 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.