DeepSeek: DeepSeek V4 Flash Vision Exp (batch) vs Google: Gemini 2.5 Flash Lite Preview 09-2025
Neither wins outright: DeepSeek: DeepSeek V4 Flash Vision Exp (batch) is the pick when you need log-probabilities, Google: Gemini 2.5 Flash Lite Preview 09-2025 when you need audio input.
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
Workload (per month)
DeepSeek: DeepSeek V4 Flash Vision Exp (batch)
Google: Gemini 2.5 Flash Lite Preview 09-2025
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
you need log-probabilities — to read token confidence for classification and scoring; Google: Gemini 2.5 Flash Lite Preview 09-2025 does not advertise it
you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response
you want the newer model — released 2026-08-21, 11 months after the other
Choose Google: Gemini 2.5 Flash Lite Preview 09-2025 if…
you need audio input — to take speech or audio directly; DeepSeek: DeepSeek V4 Flash Vision Exp (batch) does not advertise it
you need file / PDF input — to accept documents without your own parsing step; DeepSeek: DeepSeek V4 Flash Vision Exp (batch) does not advertise it
you need seed (reproducible sampling) — to repeat a generation for tests and evals; DeepSeek: DeepSeek V4 Flash Vision Exp (batch) does not advertise it
Frequently asked questions
Is DeepSeek: DeepSeek V4 Flash Vision Exp (batch) better than Google: Gemini 2.5 Flash Lite Preview 09-2025?
Neither wins outright: DeepSeek: DeepSeek V4 Flash Vision Exp (batch) is the pick when you need log-probabilities, Google: Gemini 2.5 Flash Lite Preview 09-2025 when you need audio input. In short: DeepSeek: DeepSeek V4 Flash Vision Exp (batch) when you need log-probabilities, you generate long outputs in one go, you want the newer model; Google: Gemini 2.5 Flash Lite Preview 09-2025 when you need audio input, you need file / PDF input, you need seed (reproducible sampling).
Which is cheaper, DeepSeek: DeepSeek V4 Flash Vision Exp (batch) or Google: Gemini 2.5 Flash Lite Preview 09-2025?
DeepSeek: DeepSeek V4 Flash Vision Exp (batch) is cheaper: $0.17 vs $0.18 per 1M tokens at a typical 3:1 input/output mix, 6% less. For 50,000 support conversations a month that is $14.85 against $15.50.
How much do DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and Google: Gemini 2.5 Flash Lite Preview 09-2025 cost per million tokens?
DeepSeek: DeepSeek V4 Flash Vision Exp (batch) costs $0.11 per 1M input tokens and $0.33 per 1M output tokens; Google: Gemini 2.5 Flash Lite Preview 09-2025 costs $0.10 input and $0.40 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, DeepSeek: DeepSeek V4 Flash Vision Exp (batch) or Google: Gemini 2.5 Flash Lite Preview 09-2025?
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Do DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and Google: Gemini 2.5 Flash Lite Preview 09-2025 support function calling and JSON output?
Can DeepSeek: DeepSeek V4 Flash Vision Exp (batch) or Google: Gemini 2.5 Flash Lite Preview 09-2025 read images?
Yes, both accept image input.
Is DeepSeek: DeepSeek V4 Flash Vision Exp (batch) or Google: Gemini 2.5 Flash Lite Preview 09-2025 free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and Google: Gemini 2.5 Flash Lite Preview 09-2025?
DeepSeek: DeepSeek V4 Flash Vision Exp (batch) can write up to 944K tokens (about 707,800 words) per response; Google: Gemini 2.5 Flash Lite Preview 09-2025 up to 66K (about 49,200 words).
When were DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and Google: Gemini 2.5 Flash Lite Preview 09-2025 released?
DeepSeek: DeepSeek V4 Flash Vision Exp (batch) was listed on 2026-08-21; Google: Gemini 2.5 Flash Lite Preview 09-2025 on 2025-09-25.
DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, "thinking" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence.