DeepSeek vs Gemini — which actually wins in 2026?
DeepSeek sells price and control; Gemini sells reach. DeepSeek V4 Pro is open-weight (MIT) and ~3.4× cheaper on input, ~10× cheaper on output, and you can self-host it. Gemini 3.5 Flash is ahead on neutral benchmarks, multimodal, ~2.5× faster, and wired into Workspace and Search. Choose DeepSeek for cheap tokens, self-hosting and data control; choose Gemini for multimodal work, speed, and Google-native workflows.
| Category | Winner | Margin |
|---|---|---|
| API cost · per 1M tokens | ADeepSeek | $0.435 / $0.87 vs $1.50 / $9 — DeepSeek ~3.4× cheaper in, ~10× cheaper out |
| Open weights / self-host · MIT license | ADeepSeek | DeepSeek V4 Pro downloads from Hugging Face under MIT; Gemini is closed and API-only |
| General reasoning · GPQA Diamond | BGemini | Gemini 3.5 Flash 92.2 vs DeepSeek 90.1 — a narrow edge (Artificial Analysis, Jul 2026) |
| Overall intelligence · AA Intelligence Index v4.1 | BGemini | Gemini 3.5 Flash (high) 50 vs DeepSeek V4 Pro (max) 44 — a real composite gap |
| Multimodality · what it can read | BGemini | Gemini takes text, image, audio and video; DeepSeek V4 Pro's API is text-only |
| Output speed · tokens / second | BGemini | 157 tok/s vs 62 tok/s — Gemini ~2.5× faster (Artificial Analysis, Jul 2026) |
| Context window · API model | ·Tie | Both carry a 1M-token window — dead level |
| Consumer free tier · non-paying user | ·Split | DeepSeek's app is free with no caps but text-only; Gemini's free tier is capped but far more capable |
| Free API tier · building without a card | BGemini | Gemini 3.5 Flash has a free API tier; DeepSeek bills per token from the first call |
| Ecosystem · integrations + media | BGemini | Workspace, Search grounding, Gemini Omni video, Flow; DeepSeek ships a text chat app |
| Data control · residency + self-host | ADeepSeek | MIT weights let you self-host; hosted DeepSeek stores personal data in the PRC |
| Team / enterprise · seats + admin | BGemini | Gemini is bundled into Workspace Business Standard at $14/user; DeepSeek has no per-seat tier |
| Best overall | ·Depends | See the decision tree below |
If you need cheap tokens and control.
- Cheaper API — $0.435/M input and $0.87/M output undercut Gemini 3.5 Flash's $1.50 / $9 by ~3.4× and ~10×
- Open weights — MIT-licensed V4 Pro downloads from Hugging Face; run, fine-tune, or redistribute it without restriction
- Data control — self-hosting keeps prompts, logs, and outputs on infrastructure you own, in your own jurisdiction
- Deep cache discount — cache-hit input drops to $0.003625/M, roughly 120× under the cache-miss rate
- Free consumer app — chat.deepseek.com and the mobile apps are free with no advertised message caps
If you need multimodal and Google-native work.
- Multimodal input — Gemini 3.5 Flash reads image, audio and video natively; DeepSeek V4 Pro's API is text-only
- Better benchmarks — a GPQA Diamond edge (92.2 vs 90.1) and a wider composite lead on the AA Intelligence Index
- Speed — ~157 tokens/sec against DeepSeek's ~62, which decides latency-sensitive product work
- Workspace — Gemini is native inside Gmail, Docs, Sheets, Slides and Meet, bundled at $14/user
- Free API tier — Gemini 3.5 Flash is free of charge inside AI Studio limits, so prototypes cost nothing
| Aspect | DeepSeek | Gemini |
|---|---|---|
| API · inputper 1M tokens · from snapshot | $0.43 A wins | $1.50 |
| API · outputper 1M tokens · from snapshot | $0.87 A wins | $9.00 |
| Effective API costBlended workload $/1M · from snapshot | $0.14 A wins | $1.08 |
| Real cost / 1M charsTokenizer-adjusted prose — the tokenizer tax | $0.08 A wins | $0.39 |
| Free tierWhat a non-paying user gets | $0 · full app, no caps chat.deepseek.com + mobile/desktop apps, text-only, no advertised message limits; the API bills per token from the first call | $0 · capped but broad Gemini 3.5 Flash with limited 3.1 Pro, image gen, Deep Research, Gemini Live, Canvas, Gems, 15 GB storage — plus a free API tier B wins |
| Entry subscriptionCheapest paid path to more usage | None — app is free DeepSeek sells no consumer plan; heavier use goes through the pay-per-token API or your own hardware A wins | $4.99/mo · Google AI Plus 2× usage limits, Gemini Omni video, 400 GB storage; Google AI Pro at $19.99/mo adds 4× limits and Gemini 3 Pro access |
| Power tierHeaviest usage | API only · pay-per-token No fixed power plan; you scale on usage, or self-host the open weights for a flat infrastructure cost | $99.99/mo · Google AI Ultra 5× Pro limits, Project Genie, full YouTube Premium, 20 TB; a $199.99/mo Ultra tier lifts limits to 20× B wins |
| Team / enterpriseSeats, SSO, admin | API / self-host No per-seat tier; teams either share API keys or run the MIT weights on their own cloud | $14/user · Workspace Gemini is bundled into Workspace Business Standard at no extra AI charge; Enterprise is custom-priced B wins |
| API context windowMax input tokens · from snapshot | 1M | 1M |
| Capability | DeepSeek | Gemini |
|---|---|---|
| API context window | 1M tokens | 1M tokens |
| Max output tokens | 384K | 64K |
| Open weights / self-host | ✓ MIT license | ✗ (closed, API only) |
| Vision / image input | ✗ (text-only API) | ✓ Native |
| Audio input | ✗ | ✓ $0.50/M |
| Video input | ✗ | ✓ Native |
| Image generation | ✗ | ✓ In-app image gen |
| Video generation | ✗ | ✓ Gemini Omni (paid tiers) |
| Voice mode | ✗ | ✓ Gemini Live |
| Web browsing / grounding | ✓ In-app search | ✓ Native Google Search |
| Prompt caching (API) | ✓ $0.003625/M cache hit | ✓ $0.15/M cached |
| Batch API discount | ✗ (not published) | ✓ 50% off ($0.75 / $4.50) |
| Free API tier | ✗ (pay-per-token) | ✓ AI Studio limits |
| Fine-tuning | ✓ Full (open weights) | ~ Hosted tuning only |
| Office / productivity integration | ✗ | ✓ Native Workspace |
| Custom assistants | ✗ | ~ Gems (no public store) |
| Deep research runs | ~ Not a named feature | ✓ Deep Research (free tier too) |
| Multi-step agents | ✓ Via API tools | ✓ Gemini Agent / Antigravity |
| Mobile apps | iOS + Android | iOS + Android |
| Data residency | ~ PRC (hosted) / self-host | ✓ Google regions |
| Trains on your API data | ~ Yes by default, opt-out | ~ Free tier yes, paid no |
| Chinese + multilingual | ✓ China-first, strong | ✓ Broadly multilingual |
The numbers, not the spin.
DeepSeek
The open-weight price option — MIT-licensed and self-hostable, at roughly a tenth of Gemini 3.5 Flash's output rate, but text-only and slower.
Strengths
- Cheap API — $0.435/M input and $0.87/M output, roughly 3.4× and 10× under Gemini 3.5 Flash
- Open weights — a 1.6T-parameter MoE under MIT, downloadable from Hugging Face and free to fine-tune or redistribute
- Data control — self-hosting keeps prompts, logs, and outputs inside your own jurisdiction
- Cache-hit pricing — cache-hit input at $0.003625/M is ~120× under the cache-miss rate and ~41× under Gemini's $0.15/M cached rate
- Long outputs — up to 384K output tokens, six times Gemini 3.5 Flash's 64K ceiling
Weaknesses
- Text-only on the API — no image, audio, or video input at all
- Roughly 2.5× slower output (~62 tok/s vs ~157), which shows up in interactive UIs
- Behind on neutral benchmarks — GPQA Diamond 90.1 vs 92.2 and a wider composite gap
- Hosted service stores personal data in the People's Republic of China and trains on inputs unless you opt out
- No free API tier, no image or video generation, no Workspace-class integrations
Best for
- High-volume, cost-sensitive API workloads where output tokens dominate the bill
- Teams that need on-prem or in-region deployment for data control
- Long-form generation that needs a big output ceiling
- Fine-tuning an open-weight frontier model for a niche domain
- Chinese-language and multilingual text applications
Gemini
The multimodal option — faster, natively reads image, audio and video, grounded in Google Search, and bundled into Workspace, but closed-weight and far pricier per token.
Strengths
- Multimodal — text, image, audio and video input on one model at one endpoint
- Benchmark edge — GPQA Diamond 92.2 vs 90.1, and 50 vs 44 on the AA Intelligence Index composite
- Speed — ~157 tokens/sec against DeepSeek's ~62, measured by Artificial Analysis
- Workspace-native — Gemini lives inside Gmail, Docs, Sheets, Slides and Meet at $14/user
- Free to start — a free API tier plus a consumer free tier with Deep Research and image generation
Weaknesses
- Far pricier tokens — $1.50 / $9 against $0.435 / $0.87
- Closed weights — no self-hosting, no offline deployment, no fine-tuning beyond hosted tuning
- A 64K output ceiling, six times tighter than DeepSeek's 384K
- Free-tier API prompts are used to improve Google products and may be read by human reviewers
- No public assistant store, and consumer model routing between Flash and Pro is opaque
Best for
- Anything that reads images, audio, or video
- Latency-sensitive products and interactive assistants
- Teams already living in Google Workspace
- Prototypes that need to run before there's a budget
- Research tasks that need cited, live Google Search grounding
Startup shipping a text-heavy API product
You're generating summaries, drafts, and structured text at volume, and output tokens dominate the monthly bill. Quality matters but the gap you're paying for has to be visible.
Reasoning: DeepSeek V4 Pro costs $0.87/M output against Gemini 3.5 Flash's $9 — a 10× gap — while trailing by 2.1 points on GPQA Diamond. For text generation at scale that trade is lopsided in DeepSeek's favour; you'd need a very specific quality-sensitive task to justify paying 10× per output token.
Product that reads screenshots, PDFs, or video
Your users upload images, record audio notes, or drop in video clips, and the model has to understand them directly rather than through a transcription hop.
Reasoning: This is not close. Gemini 3.5 Flash takes text, image, audio and video natively on one endpoint; DeepSeek V4 Pro's API is text-only, so you'd have to bolt on separate OCR, speech-to-text, and vision models and pay for each. Gemini wins on capability, not preference.
Enterprise that can't send prompts offshore
Compliance won't approve a hosted API in another jurisdiction, and your prompts contain material you can't let leave your own network.
Reasoning: DeepSeek V4 Pro is MIT-licensed and downloadable, so you can run the whole thing on your own hardware and nothing leaves. Gemini is closed and API-only. Note the flip side: DeepSeek's hosted service stores personal data in the PRC, so self-hosting isn't optional here — it's the entire reason to pick it.
Team standardising AI across a Workspace company
Fifty people live in Gmail, Docs, Sheets and Meet, and you want one assistant with admin controls and a predictable per-head cost.
Reasoning: Gemini is bundled into Workspace Business Standard at $14/user with Gemini included at no extra AI charge, and it works inside the apps your team already has open. DeepSeek has no per-seat tier at all — teams share API keys or self-host. For seats and admin today, only Gemini is a real answer.
Latency-sensitive chat assistant
Users are watching the response stream in real time, and a slow first paragraph reads as a broken product regardless of how good the answer eventually is.
Reasoning: Artificial Analysis measures Gemini 3.5 Flash at ~157 tokens/sec against DeepSeek V4 Pro's ~62 — roughly 2.5× faster. DeepSeek's max-effort reasoning is also verbose, which compounds the wait. For interactive UX the speed gap outweighs the token savings.
Solo builder prototyping with no budget
You're testing an idea on weekends and don't want to attach a credit card before you know whether the thing works at all.
Reasoning: Gemini 3.5 Flash has a free API tier inside AI Studio limits, so a prototype costs nothing. DeepSeek bills per token from the first call. The catch worth knowing: free-tier Gemini prompts are used to improve Google products and may be read by human reviewers, so don't prototype on sensitive data.
Straight from the threads.
Very insightful write up. Gemini is miles ahead when it comes to search and current information.
The quality for the same task running with Sonnet 4.6, Opus 4.8, DeepSeek V4Pro, GPT-5.4/5.5, MiniMax M3, GLM-5.1 and Gemini... well, Gemini Pro or Flash are the last every single time...
DeepSeek is great for IT technical resources. I use it all the time. Love it and it's free. Gemini is great with latest info.
DeepSeek — Genuinely impressive. Every step explained clearly with reasoning behind each one. Felt like a patient math tutor.
Frequently asked.
Common questions about this comparison, with sources where they matter.
Q · 01 Is DeepSeek or Gemini better overall? +
$0.435 / $0.87 vs $1.50 / $9), open weights, self-hosting, and a 384K output ceiling. Gemini leads on multimodal input, speed (~157 vs ~62 tokens/sec), benchmarks (GPQA Diamond 92.2 vs 90.1), Workspace integration, and free-tier access. Context is a tie at 1M tokens each. See the decision tree above.Q · 02 Which is cheaper? +
3.4× cheaper on input and 10× cheaper on output, and its cache-hit input rate ($0.003625/M) is far under Gemini's $0.15/M cached rate. The nuance: Gemini has a free API tier and a 50%-off batch mode, so at prototype scale Gemini can cost $0 while DeepSeek bills from the first call. Run your own numbers through our LLM API cost calculator.Q · 03 Can DeepSeek do images, audio, or video? +
Q · 04 What does the benchmark gap actually mean? +
92.2 and 90.1 — about two points, which rarely shows on everyday questions. But on the Artificial Analysis Intelligence Index, a 9-eval composite that weights agentic and long-context work, the gap widens to 50 vs 44. Translation: for straightforward text tasks they're close; for agentic and tool-heavy work Gemini pulls ahead.Q · 05 Can I use both? +
Q · 06 Is DeepSeek safe for private or regulated data? +
Q · 07 Which has the larger context window? +
1M-token input window, so it's a genuine tie. Output is where they diverge: DeepSeek allows up to 384K output tokens against Gemini's 64K, which matters for long-form generation. For very long inputs, test with your own material — usable recall varies more than the headline number suggests.