Gemini vs DeepSeek Flash Comparison | Generated by AI
Question: compare gemini 3.5 flash to deepseek v4 flash
Answer: Here is a comparison of Google’s Gemini 3.5 Flash and DeepSeek’s V4 Flash across core technical capabilities, processing performance, and cost efficiency.
Key Metrics Comparison
| Feature / Metric | Google Gemini 3.5 Flash | DeepSeek V4 Flash |
|---|---|---|
| Context Window | 1.05M tokens | 1.05M tokens |
| Input Price (per 1M tokens) | $1.50 | ~$0.0983 |
| Output Price (per 1M tokens) | $9.00 | ~$0.1966 |
| Input Modalities | Multimodal (Text, Audio, Video, Image) | Text-only |
| Model Availability | Proprietary (Google API / AI Studio) | Open Source (Weights available) |
| Max Output Tokens | 66K | 131K |
| Median Latency (p50) | ~1.28s | ~3.44s |
| Throughput (p50) | ~39.0 tokens/s | ~38.0 tokens/s |
Core Structural & Functional Differences
- Intelligence & Benchmark Evals: Gemini 3.5 Flash holds a notable lead in overall benchmarks, scoring a 55 on Artificial Analysis’s Intelligence Index compared to DeepSeek V4 Flash’s 46. Gemini also outpaces DeepSeek V4 Flash in core programming capability and broad multi-step agentic execution.
- The Cost Disparity: DeepSeek V4 Flash offers extreme cost efficiency. Its input pricing is roughly 15 times cheaper, and its output pricing is nearly 45 times cheaper than Gemini 3.5 Flash. Developers evaluating operational expenses often find that DeepSeek delivers respectable reasoning abilities at a fraction of the budget.
- Multimodal Capabilities: Gemini 3.5 Flash retains Google’s signature native support for complex multimodal processing, allowing users to parse video, images, and audio seamlessly inside its large context window. DeepSeek V4 Flash focuses strictly on text-based datasets and code structures.
- Output Limits & Processing Latency: DeepSeek V4 Flash allows for double the maximum output tokens (131K vs 66K), which is highly beneficial for generating long blocks of text or extensive code architecture. However, Gemini 3.5 Flash features much lower initial latency (~1.28s vs ~3.44s), making it noticeably faster to begin responding.