--- title: DeepSeek’s first vision model vs. Gemini 3.7 Flash: It... description: 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... canonical: https://daily.dev/posts/deepseek-s-first-vision-model-vs-gemini-3-7-flash-it-comes-down-to-spend-vs-speed-stebcho5l twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: DeepSeek’s first vision model vs. Gemini 3.7 Flash: It comes down to spend vs. speed | daily.dev og:description: 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... og:url: https://daily.dev/posts/deepseek-s-first-vision-model-vs-gemini-3-7-flash-it-comes-down-to-spend-vs-speed-stebcho5l og:image: https://api.daily.dev/og/posts/STEbchO5L.png og:image:alt: DeepSeek’s first vision model vs. Gemini 3.7 Flash: It comes down to spend vs. speed og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # 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: ## Questions this post answers ### How does DeepSeek V4 Flash Vision Exp compare to Gemini 3.7 Flash on cost and speed for image tasks? DeepSeek V4 Flash Vision Exp cost about a third as much as Gemini 3.7 Flash on identical vision tasks ($0.0039 vs $0.0122 total across three tests) but took more than double the average response time (16.8 seconds vs 7.2 seconds). Both models scored 9/9 on accuracy across a chart-reading, invoice-audit, and log-diagnosis test, so the practical tradeoff is purely cost versus latency, not correctness. _Comparing DeepSeek and Gemini vision models on real tasks is the kind of practical evaluation daily.dev surfaces for engineers picking an AI API._ ### When was DeepSeek's first vision-capable model released and what does it cost? DeepSeek released V4 Flash Vision Exp, its first model accepting image input, on August 21, and it reached API gateways like OpenRouter on August 27. It keeps the same budget pricing as the text-only V4 Flash model at $0.22 per million input tokens and $0.66 per million output tokens, though the price doubles during weekday peak hours. _Developers tracking new vision-model releases and their pricing can follow updates like this one on daily.dev._ ### Should I use DeepSeek or Gemini for batch-processing invoices or documents at scale? DeepSeek V4 Flash Vision Exp is better suited for large-scale batch processing, such as overnight invoice audits, because it costs roughly a third as much as Gemini 3.7 Flash despite being slower and less consistent in response time, swinging between 8 and 30 seconds. Gemini is the better choice when a user is actively waiting on a real-time answer, since its response time stayed consistently near 7 seconds. _Weighing vision-model tradeoffs for a real batch workload is easier when daily.dev keeps you current on options like DeepSeek and Gemini._ ## Similar posts on daily.dev - [Untitled](https://daily.dev/posts/untitled-xymsrwqg6) · SitePoint · 0 upvotes · 0 comments - [Gemini 3.7 Flash, Grok 4.6, GLM-5.3 and DeepSeek V4 Pro joined the frontier](https://daily.dev/posts/gemini-3-7-flash-grok-4-6-glm-5-3-and-deepseek-v4-pro-joined-the-frontier-pfyczsmpb) · Quesma · 0 upvotes · 0 comments --- 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) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"DeepSeek’s first vision model vs. Gemini 3.7 Flash: It comes down to spend vs. speed","url":"https://daily.dev/posts/deepseek-s-first-vision-model-vs-gemini-3-7-flash-it-comes-down-to-spend-vs-speed-stebcho5l","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/deepseek-s-first-vision-model-vs-gemini-3-7-flash-it-comes-down-to-spend-vs-speed-stebcho5l"},"datePublished":"2026-08-31T12:08:52.702Z","dateModified":"2026-09-14T08:08:44.158Z","description":"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...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a934e37370309a856245bb9371a70e21?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a934e37370309a856245bb9371a70e21?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"The New Stack","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"The New Stack","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/newstack","url":"https://daily.dev/sources/newstack"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/deepseek-s-first-vision-model-vs-gemini-3-7-flash-it-comes-down-to-spend-vs-speed-stebcho5l","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,google-gemini,deepseek,openrouter","timeRequired":"PT7M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"The New Stack","item":"https://daily.dev/sources/newstack"},{"@type":"ListItem","position":3,"name":"DeepSeek’s first vision model vs. Gemini 3.7 Flash: It comes down to spend vs. speed"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/deepseek-s-first-vision-model-vs-gemini-3-7-flash-it-comes-down-to-spend-vs-speed-stebcho5l#faq","mainEntity":[{"@type":"Question","name":"How does DeepSeek V4 Flash Vision Exp compare to Gemini 3.7 Flash on cost and speed for image tasks?","acceptedAnswer":{"@type":"Answer","text":"DeepSeek V4 Flash Vision Exp cost about a third as much as Gemini 3.7 Flash on identical vision tasks ($0.0039 vs $0.0122 total across three tests) but took more than double the average response time (16.8 seconds vs 7.2 seconds). 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