DeepSeek-V4-Pro vs Gemini 3.5 Flash-Lite
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro | Gemini 3.5 Flash-Lite |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,451.00100% of row best · rating · deepseek-v4-pro; 95% CI [1447.00829245, 1454.98663953]; votes 54243; rank 41 | 1,436.2599% of row best · rating · gemini-3.5-flash-lite; 95% CI [1431.05053629, 1441.44358777]; votes 21843; rank 74 |
| LiveBench2026-06-25 · overall · leader | 76.79100% of row best · percent · deepseek-v4-pro · 35,014 output tokens / case | 66.3586% of row best · percent · gemini-3.5-flash-lite-high · 11,526 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Gemini 3.5 Flash-Lite |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V4 Pro | Gemini 3 |
| Model | DeepSeek-V4-Pro | Gemini 3.5 Flash-Lite |
| Version | DeepSeek-V4-Pro | Gemini 3.5 Flash-Lite |
| Lifecycle | active | active |
| Released | 2026-04-24 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 1,048,576 | 1,048,576 |
| Total parameters | 1,598,839,674,782 | Unknown |
| Active parameters | 49,000,000,000 | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Openrouter (Standard) | Google AI (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
DeepSeek-V4-Pro Capabilities
Gemini 3.5 Flash-Lite Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Gemini 2.5 Flash-LiteGoogle DeepMind | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | family variantstext |
Gemini 3 FlashGoogle DeepMind | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | family variantstext |
Gemini 2.5 FlashGoogle DeepMind | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | family variantstext |
 Nova 2 LiteAmazon | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs |  Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini Computer UseGoogle DeepMind | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | family variantstext |
Gemini Deep ResearchGoogle DeepMind | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | family variantstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs |  GPT-5.6 SolOpenAI | cross-developer peerstext |
Claude Opus 5Anthropic | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek-V4-Pro vs Gemini 3.5 Flash-Lite FAQs
Is DeepSeek-V4-Pro or Gemini 3.5 Flash-Lite better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek-V4-Pro and Gemini 3.5 Flash-Lite, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek-V4-Pro or Gemini 3.5 Flash-Lite?+
DeepSeek-V4-Pro is $0.66 and Gemini 3.5 Flash-Lite is $0.30 per million tokens, so Gemini 3.5 Flash-Lite is cheaper on this metric. DeepSeek-V4-Pro is $1.5441 and Gemini 3.5 Flash-Lite is $2.50 per million tokens, so DeepSeek-V4-Pro is cheaper on this metric.
Which has a larger context window, DeepSeek-V4-Pro or Gemini 3.5 Flash-Lite?+
Neither model has a larger sourced context window in this comparison. DeepSeek-V4-Pro is 1,048,576 and Gemini 3.5 Flash-Lite is 1,048,576.
Which performs better in benchmarks, DeepSeek-V4-Pro or Gemini 3.5 Flash-Lite?+
DeepSeek-V4-Pro leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can DeepSeek-V4-Pro or Gemini 3.5 Flash-Lite be self-hosted?+
DeepSeek-V4-Pro is the only model in this pair currently marked as self-hostable. DeepSeek-V4-Pro is open weight; Gemini 3.5 Flash-Lite is not marked open weight.
Can DeepSeek-V4-Pro and Gemini 3.5 Flash-Lite understand images?+
DeepSeek-V4-Pro is not documented with image input; Gemini 3.5 Flash-Lite is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek-V4-Pro or Gemini 3.5 Flash-Lite?+
Neither has a larger sourced maximum output. DeepSeek-V4-Pro is — and Gemini 3.5 Flash-Lite is 65,536.
Do DeepSeek-V4-Pro and Gemini 3.5 Flash-Lite support reasoning and tool use?+
DeepSeek-V4-Pro: reasoning. Gemini 3.5 Flash-Lite: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek-V4-Pro or Gemini 3.5 Flash-Lite?+
DeepSeek-V4-Pro has 3 sourced provider routes; Gemini 3.5 Flash-Lite has 1, so DeepSeek-V4-Pro has broader tracked availability.
Which offers better value, DeepSeek-V4-Pro or Gemini 3.5 Flash-Lite?+
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.