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title: DeepSeek’s first vision model vs. Gemini 3.7 Flash: It...
description: A hands-on comparison pits DeepSeek&#x27;s newly released V4 Flash Vision Exp (its first image-input model, released August 21 and available on OpenRouter August...
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# DeepSeek’s first vision model vs. Gemini 3.7 Flash: It comes down to spend vs. speed

**[The New Stack](https://daily.dev/sources/newstack)** · 7 min read · 0 upvotes · 0 comments

## Summary

A hands-on comparison pits DeepSeek's newly released V4 Flash Vision Exp (its first image-input model, released August 21 and available on OpenRouter August 27) against Google's Gemini 3.7 Flash across three realistic tasks: reading a dual-axis chart, auditing an invoice with planted arithmetic errors, and diagnosing a production incident with a buried root cause. Both models answered all nine questions correctly, catching every planted trap. The difference came down to cost and speed: DeepSeek cost about a third as much ($0.0039 vs $0.0122 total) but took more than twice as long on average (16.8s vs 7.2s) and was less consistent, ranging from 8 to 30 seconds. DeepSeek's pricing also doubles during weekday peak hours. The takeaway: use DeepSeek for large batch jobs where cost matters, use Gemini when a user is waiting on a real-time response.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/deepseek-gemini-vision-comparison>

## Questions this post answers

### What is DeepSeek's first vision-capable model and when was it released?

DeepSeek V4 Flash Vision Exp is the company's first model that accepts image input, added to its budget V4 Flash lineup. It was released on August 21 and reached API gateways like OpenRouter on August 27. It costs $0.22 per million input tokens and $0.66 per million output tokens, though pricing doubles during weekday peak hours.

_Comparing new multimodal model releases before switching providers is easier with daily.dev's developer news coverage._

### How does DeepSeek V4 Flash Vision Exp compare to Gemini 3.7 Flash in cost and speed for image understanding tasks?

Across three vision tasks (chart reading, invoice auditing, and log diagnosis), both models scored 9/9 on accuracy, but DeepSeek cost roughly a third as much ($0.0039 vs $0.0122 total) while taking more than twice as long on average (16.8 seconds vs 7.2 seconds), with response times swinging from 8 to 30 seconds depending on the task. Gemini's speed stayed consistent throughout.

_Weighing cost against latency across AI vision models is a recurring decision daily.dev readers track closely._

### Which model should I use for batch-processing invoices versus real-time user-facing tasks, DeepSeek or Gemini?

DeepSeek V4 Flash Vision Exp suits large-scale batch processing, like overnight invoice audits, because it costs about a third as much per call. Gemini 3.7 Flash suits real-time, user-facing tasks because it responds in under half the time and its latency stays consistent, whereas DeepSeek's response time varied from 8 to 30 seconds.

_Choosing the right vision model for a workload's latency and cost profile is easier with daily.dev's model coverage._

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---

Tags: [#ai](https://daily.dev/tags/ai), [#google-gemini](https://daily.dev/tags/google-gemini), [#deepseek](https://daily.dev/tags/deepseek), [#openrouter](https://daily.dev/tags/openrouter)

[View this post on daily.dev](https://daily.dev/posts/deepseek-s-first-vision-model-vs-gemini-3-7-flash-it-comes-down-to-spend-vs-speed-stebcho5l)

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