DeepSeek V3 vs Gemini 3.5 Flash
At a Glance
| Compare |  DeepSeek V3DeepSeek |  Gemini 3.5 FlashGoogle DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #15 of 4672.1 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #25 of 44$0.140 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #15 of 3856.8 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.2574Openrouter ↗ · Aug 29, 2026 | $1.50Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.89Deepinfra ↗ · Sep 22, 2026 | $9.00Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 164K | 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
| Benchmark | DeepSeek-V3 | Gemini 3.5 Flash |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,332.3990% of row best · rating · deepseek-v3; 95% CI [1327.66209525, 1337.12686082]; votes 21770; rank 209 | 1,475.72100% of row best · rating · gemini-3.5-flash-medium; 95% CI [1471.24691172, 1480.19960285]; votes 36627; rank 19 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V3 | Gemini 3.5 Flash |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V3 | Gemini 3 |
| Model | DeepSeek-V3 | Gemini 3.5 Flash |
| Version | DeepSeek-V3 | Gemini 3.5 Flash |
| Lifecycle | active | active |
| Released | 2024-12-26 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 164K | 1,049K |
| Total parameters | 684.5B | Unknown |
| Active parameters | 37B | Unknown |
| License | Unknown | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, tools |
DeepSeek V3 Capabilities
Gemini 3.5 Flash Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V3 vs Gemini 3.5 Flash FAQs
Is DeepSeek V3 or Gemini 3.5 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3 and Gemini 3.5 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V3 or Gemini 3.5 Flash?+
DeepSeek V3 is $0.2574 and Gemini 3.5 Flash is $1.50 per million tokens, so DeepSeek V3 is cheaper on this metric. DeepSeek V3 is $0.89 and Gemini 3.5 Flash is $9.00 per million tokens, so DeepSeek V3 is cheaper on this metric.
Which has a larger context window, DeepSeek V3 or Gemini 3.5 Flash?+
Gemini 3.5 Flash has the larger sourced context window. DeepSeek V3 supports 164K and Gemini 3.5 Flash supports 1,049K.
Which performs better in benchmarks, DeepSeek V3 or Gemini 3.5 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V3 or Gemini 3.5 Flash be self-hosted?+
DeepSeek V3 is the only model in this pair currently marked as self-hostable. DeepSeek V3 is open weight; Gemini 3.5 Flash is not marked open weight.
Can DeepSeek V3 and Gemini 3.5 Flash understand images?+
DeepSeek V3 is not documented with image input; Gemini 3.5 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V3 or Gemini 3.5 Flash?+
Neither has a larger sourced maximum output. DeepSeek V3 is — and Gemini 3.5 Flash is 66K.
Do DeepSeek V3 and Gemini 3.5 Flash support reasoning and tool use?+
DeepSeek V3: none of these features are definitively sourced. Gemini 3.5 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V3 or Gemini 3.5 Flash?+
DeepSeek V3 has 3 sourced provider routes; Gemini 3.5 Flash has 2, so DeepSeek V3 has broader tracked availability.
Which offers better value, DeepSeek V3 or Gemini 3.5 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.