$ diff deepseek-v4-flash gemini-3-5-flash-lite
DeepSeek V4-Flash vs Gemini 3.5 Flash-Lite
Values come from DeepSeek V4-Flash and Gemini 3.5 Flash-Lite, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.
DeepSeekDeepSeek V4-Flash
- context
- —
- weights
- open
- $/M in
- $0.14
- $/M out
- $0.28
- context
- 1.0M
- weights
- closed
- $/M in
- $0.3
- $/M out
- $2.5
What actually differs
- Input price
- DeepSeek V4-Flash at $0.14/M against $0.3/M — 2.1× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
- Output price
- DeepSeek V4-Flash at $0.28/M against $2.5/M — 8.9× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- DeepSeek V4-Flash publishes weights (MIT (open-weight)); Gemini 3.5 Flash-Lite is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
- Recency
- DeepSeek V4-Flash shipped 10 days after Gemini 3.5 Flash-Lite (2026-07-31 vs 2026-07-21).
Full spec
| Attribute | DeepSeek V4-Flash | Gemini 3.5 Flash-Lite |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Released | 2026-07-31 | 2026-07-21 |
| Context window | not recorded | 1,048,576 tokens (1M) |
| Pricing | $0.14/M input (cache miss) · $0.0028/M input (cache hit) · $0.28/M output — see Conflicting Reports | $0.30/M input · $2.50/M output |
| License | MIT (open-weight) | proprietary |
| Availability | DeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Flash-0731`) | Gemini API, Google AI Studio, Vertex AI |