DeepSeek-V4 Flash Vision Exp vs o1
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: DeepSeek-V4 Flash Vision Exp or o1?
Verified Performance & Unit Economics Delta
Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.
| Metric / Dimension | DeepSeek-V4 Flash Vision Exp | o1 | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $0.14 | $15.00 | DeepSeek-V4 Flash Vision Exp is 107.1x cheaper |
| Output Cost / 1M Tokens | $0.56 | $60.00 | DeepSeek-V4 Flash Vision Exp (99.1% lower) |
| Prompt Cache Read / 1M | $0.014 | $7.500 | DeepSeek-V4 Flash Vision Exp is 535.7x cheaper |
| Prompt Cache Write / 1M | $0.14 | $15.00 | DeepSeek-V4 Flash Vision Exp is 107.1x cheaper |
| Avg TTFT Response Latency | 140ms | 2600ms | DeepSeek-V4 Flash Vision Exp (+2460ms faster) |
| SWE-bench Verified (Coding) | 64.2% | 48.9% | DeepSeek-V4 Flash Vision Exp (+15.3% lead) |
| Inference Value Score (IVR) | 79.9 / 100 | 35.5 / 100 | DeepSeek-V4 Flash Vision Exp (+44.4 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
$15.00/1M in · $60.00/1M out
Prompt Cache: $7.500/1M read · $15.00/1M 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 o1
Choose o1 when you need Heavyweight reasoning model engineered for academic research, complex mathematics, and deep multimodal analysis. and prioritize OpenAI ecosystem integration at $15.00/1M tokens.
Related Questions & Decision Factors
Which is cheaper: DeepSeek-V4 Flash Vision Exp or o1?
DeepSeek-V4 Flash Vision Exp is cheaper at $0.14/1M input tokens compared to $15.00/1M for o1.
Which model has lower latency: DeepSeek-V4 Flash Vision Exp or o1?
DeepSeek-V4 Flash Vision Exp delivers faster response times with an average TTFT of 140ms vs 2600ms for o1.
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 o1?
Choose o1 when you need Heavyweight reasoning model engineered for academic research, complex mathematics, and deep multimodal analysis. and prioritize OpenAI ecosystem integration at $15.00/1M tokens.