Gemini 3 Flash vs Gemini 3.5 Flash-Lite
Benchmark Performance
Available Benchmarks
| Benchmark | Gemini 3 Flash | Gemini 3.5 Flash-Lite |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · statistical tie | -11.24100% of row best · score · Gemini 3 Flash; 95% CI [-12.27770994, -10.19849473]; sessions 83413; observations 1925564; rank 52 | -10.81100% of row best · score · Gemini 3.5 Flash Lite; 95% CI [-12.19929495, -9.42408695]; sessions 22348; observations 634592; rank 51 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,442.43100% of row best · rating · gemini-3-flash (thinking-minimal); 95% CI [1439.33231151, 1445.53146062]; votes 85926; rank 58 | 1,436.25100% of row best · rating · gemini-3.5-flash-lite; 95% CI [1431.05053629, 1441.44358777]; votes 21843; rank 74 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · statistical tie | 1,265.49100% of row best · rating · gemini-3-flash (thinking-minimal); 95% CI [1259.90587715, 1271.06823217]; votes 34908; rank 37 | 1,268.89100% of row best · rating · gemini-3.5-flash-lite; 95% CI [1258.10808094, 1279.66830878]; votes 3886; rank 34 |
| Overall ResultCounted from the protocol-matched rows above · 3 ties | 0 benchmark winsTied overall | 0 benchmark winsTied overall |
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 | Gemini 3 Flash | Gemini 3.5 Flash-Lite |
|---|---|---|
| Developer | Google DeepMind | Google DeepMind |
| Family | Gemini 3 | Gemini 3 |
| Model | Gemini 3 Flash | Gemini 3.5 Flash-Lite |
| Version | Gemini 3 Flash | Gemini 3.5 Flash-Lite |
| Lifecycle | preview | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 1,048,576 | 1,048,576 |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard) | Google AI (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
13 comparable fields · 3 material differences · Pair passes the primary-source comparison gate
Gemini 3 Flash Capabilities
Gemini 3.5 Flash-Lite Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Gemini 2.5 Flash-LiteGoogle DeepMind | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | family variantstext |
Gemini 3 FlashGoogle DeepMind | vs | Gemini 3.5 FlashGoogle DeepMind | family variantstext |
Gemini 3 FlashGoogle DeepMind | vs | Gemini 3.6 FlashGoogle DeepMind | family variantstext |
Gemini 3 FlashGoogle DeepMind | vs | Gemini 3.7 FlashGoogle DeepMind | family variantstext |
Gemini 3 FlashGoogle DeepMind | vs | Gemini 3.1 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 FlashGoogle DeepMind | vs | GLM-5.3-FlashZ.ai | cross-developer peerstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 3 FlashGoogle 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 |
Primary Evidence
Sources and Freshness
Questions
Gemini 3 Flash vs Gemini 3.5 Flash-Lite FAQs
Is Gemini 3 Flash or Gemini 3.5 Flash-Lite better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3 Flash 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, Gemini 3 Flash or Gemini 3.5 Flash-Lite?+
Gemini 3 Flash is $0.50 and Gemini 3.5 Flash-Lite is $0.30 per million tokens, so Gemini 3.5 Flash-Lite is cheaper on this metric. Gemini 3 Flash is $3.00 and Gemini 3.5 Flash-Lite is $2.50 per million tokens, so Gemini 3.5 Flash-Lite is cheaper on this metric.
Which has a larger context window, Gemini 3 Flash or Gemini 3.5 Flash-Lite?+
Neither model has a larger sourced context window in this comparison. Gemini 3 Flash is 1,048,576 and Gemini 3.5 Flash-Lite is 1,048,576.
Which performs better in benchmarks, Gemini 3 Flash or Gemini 3.5 Flash-Lite?+
There is no overall benchmark winner: Neither model leads outside the score tolerance on the verified common benchmarks.
Can Gemini 3 Flash or Gemini 3.5 Flash-Lite be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3 Flash is not marked open weight; Gemini 3.5 Flash-Lite is not marked open weight.
Can Gemini 3 Flash and Gemini 3.5 Flash-Lite understand images?+
Gemini 3 Flash is 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, Gemini 3 Flash or Gemini 3.5 Flash-Lite?+
Neither has a larger sourced maximum output. Gemini 3 Flash is 65,536 and Gemini 3.5 Flash-Lite is 65,536.
Do Gemini 3 Flash and Gemini 3.5 Flash-Lite support reasoning and tool use?+
Gemini 3 Flash: reasoning, tool calling, and image input. 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, Gemini 3 Flash or Gemini 3.5 Flash-Lite?+
Gemini 3 Flash has 1 sourced provider route; Gemini 3.5 Flash-Lite has 1, a tie.
Which offers better value, Gemini 3 Flash 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.