DeepSeek V4 Pro Base vs Gemini 3.8 Flash
At a Glance
| Compare |  DeepSeek V4 Pro BaseDeepSeek |  Gemini 3.8 FlashGoogle DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #8 of 4682.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 54.7–88.0 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #26 of 44$0.160 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #8 of 3860.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.7–63.4 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.75Google AI ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $3.75Google AI ↗ · Sep 2, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 2, 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 3.8 Flash |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V4 Pro Base | Gemini 3 |
| Model | DeepSeek-V4-Pro-Base | Gemini 3.8 Flash |
| Version | DeepSeek-V4-Pro-Base | Gemini 3.8 Flash |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2026-09-02 |
| 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, code_execution, computer_use, generation, reasoning, structured_outputs, tools |
DeepSeek V4 Pro Base Capabilities
Gemini 3.8 Flash Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-Pro-BaseDeepSeek | vs | Gemini 3.7 FlashGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-Pro-BaseDeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-Pro-BaseDeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-Pro-BaseDeepSeek | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro Base vs Gemini 3.8 Flash FAQs
Is DeepSeek V4 Pro Base or Gemini 3.8 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro Base and Gemini 3.8 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 3.8 Flash?+
Only Gemini 3.8 Flash has a directly sourced input price: $0.75 per million tokens. Only Gemini 3.8 Flash has a directly sourced output price: $3.75 per million tokens.
Which has a larger context window, DeepSeek V4 Pro Base or Gemini 3.8 Flash?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Pro Base is 1,049K and Gemini 3.8 Flash is 1,049K.
Which performs better in benchmarks, DeepSeek V4 Pro Base or Gemini 3.8 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 3.8 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 3.8 Flash is not marked open weight.
Can DeepSeek V4 Pro Base and Gemini 3.8 Flash understand images?+
DeepSeek V4 Pro Base is not documented with image input; Gemini 3.8 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 3.8 Flash?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro Base is — and Gemini 3.8 Flash is 66K.
Do DeepSeek V4 Pro Base and Gemini 3.8 Flash support reasoning and tool use?+
DeepSeek V4 Pro Base: none of these features are definitively sourced. Gemini 3.8 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 3.8 Flash?+
DeepSeek V4 Pro Base has 0 sourced provider routes; Gemini 3.8 Flash has 2, so Gemini 3.8 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Pro Base or Gemini 3.8 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.