DeepSeek V4 Pro Base vs Gemini 3 Flash
At a Glance
| Compare |  DeepSeek V4 Pro BaseDeepSeek |  Gemini 3 FlashGoogle DeepMind |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.50Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $3.00Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-V4-Pro-Base | Gemini 3 Flash |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V4 Pro Base | Gemini 3 |
| Model | DeepSeek-V4-Pro-Base | Gemini 3 Flash |
| Version | DeepSeek-V4-Pro-Base | Gemini 3 Flash |
| Lifecycle | active | preview |
| Released | 2026-04-24 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | 1.6T | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | generation | chat, generation, reasoning, tools |
DeepSeek V4 Pro Base Capabilities
Gemini 3 Flash Capabilities
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DeepSeek-V4-Pro-BaseDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro Base vs Gemini 3 Flash FAQs
Is DeepSeek V4 Pro Base or Gemini 3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro Base and Gemini 3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro Base or Gemini 3 Flash?+
Only Gemini 3 Flash has a directly sourced input price: $0.50 per million tokens. Only Gemini 3 Flash has a directly sourced output price: $3.00 per million tokens.
Which has a larger context window, DeepSeek V4 Pro Base or Gemini 3 Flash?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Pro Base is 1,049K and Gemini 3 Flash is 1,049K.
Which performs better in benchmarks, DeepSeek V4 Pro Base or Gemini 3 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Pro Base or Gemini 3 Flash be self-hosted?+
DeepSeek V4 Pro Base is the only model in this pair currently marked as self-hostable. DeepSeek V4 Pro Base is open weight; Gemini 3 Flash is not marked open weight.
Can DeepSeek V4 Pro Base and Gemini 3 Flash understand images?+
DeepSeek V4 Pro Base is not documented with image input; Gemini 3 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro Base or Gemini 3 Flash?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro Base is — and Gemini 3 Flash is 66K.
Do DeepSeek V4 Pro Base and Gemini 3 Flash support reasoning and tool use?+
DeepSeek V4 Pro Base: none of these features are definitively sourced. Gemini 3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro Base or Gemini 3 Flash?+
DeepSeek V4 Pro Base has 0 sourced provider routes; Gemini 3 Flash has 2, so Gemini 3 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Pro Base or Gemini 3 Flash?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.