DeepSeek V4 Flash Base vs Gemini 2.5 Pro
At a Glance
| Compare |  DeepSeek V4 Flash BaseDeepSeek |  Gemini 2.5 ProGoogle DeepMind |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.25Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $10.00Google 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-Flash-Base | Gemini 2.5 Pro |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V4 Flash Base | Gemini 2 5 |
| Model | DeepSeek-V4-Flash-Base | Gemini 2.5 Pro |
| Version | DeepSeek-V4-Flash-Base | Gemini 2.5 Pro |
| Lifecycle | active | active |
| Released | 2026-04-24 | Unknown |
| Knowledge cutoff | Unknown | 2025-01-01 |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | 292B | 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 Flash Base Capabilities
Gemini 2.5 Pro Capabilities
Related Comparisons
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|---|---|---|---|
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DeepSeek-V4-Flash-BaseDeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-Flash-BaseDeepSeek | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-Flash-BaseDeepSeek | cross-developer peerstext |
DeepSeek-V4-Flash-BaseDeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash Base vs Gemini 2.5 Pro FAQs
Is DeepSeek V4 Flash Base or Gemini 2.5 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Base and Gemini 2.5 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash Base or Gemini 2.5 Pro?+
Only Gemini 2.5 Pro has a directly sourced input price: $1.25 per million tokens. Only Gemini 2.5 Pro has a directly sourced output price: $10.00 per million tokens.
Which has a larger context window, DeepSeek V4 Flash Base or Gemini 2.5 Pro?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash Base is 1,049K and Gemini 2.5 Pro is 1,049K.
Which performs better in benchmarks, DeepSeek V4 Flash Base or Gemini 2.5 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Flash Base or Gemini 2.5 Pro be self-hosted?+
DeepSeek V4 Flash Base is the only model in this pair currently marked as self-hostable. DeepSeek V4 Flash Base is open weight; Gemini 2.5 Pro is not marked open weight.
Can DeepSeek V4 Flash Base and Gemini 2.5 Pro understand images?+
DeepSeek V4 Flash Base is not documented with image input; Gemini 2.5 Pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash Base or Gemini 2.5 Pro?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash Base is — and Gemini 2.5 Pro is 66K.
Do DeepSeek V4 Flash Base and Gemini 2.5 Pro support reasoning and tool use?+
DeepSeek V4 Flash Base: none of these features are definitively sourced. Gemini 2.5 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash Base or Gemini 2.5 Pro?+
DeepSeek V4 Flash Base has 0 sourced provider routes; Gemini 2.5 Pro has 2, so Gemini 2.5 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Flash Base or Gemini 2.5 Pro?+
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.