Gemini 3.5 Flash Lite vs Grok 4.20 Multi Agent
At a Glance
| Compare | Gemini 3.5 Flash LiteGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #39 of 4617.6 score · 3/3 sources · complete | #22 of 4663.4 score · 2/3 sources · provisional · missing LiveBench · full-core range 42.3–75.6 |
| CostLower is better · Published-token output estimate | #8 of 44$0.029 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #32 of 3846.2 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Google AI ↗ · Aug 29, 2026 | $1.25Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $2.50Google AI ↗ · Aug 29, 2026 | $2.50Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Aug 29, 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 | Gemini 3.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader | 53.5060% of row best · percent · Gemini 3.5 Flash-Lite (High) | 89.50100% of row best · percent · Grok 4.20 (Reasoning) |
| ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader | 10.2816% of row best · percent · Gemini 3.5 Flash-Lite (High) | 65.14100% of row best · percent · Grok 4.20 (Reasoning) |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,435.5499% of row best · rating · gemini-3.5-flash-lite; 95% CI [1430.59505493, 1440.49024696]; votes 26165; rank 79 | 1,449.94100% of row best · rating · grok-4.20-multi-agent-beta-0309; 95% CI [1446.16660741, 1453.71198087]; votes 60777; rank 46 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,268.42100% of row best · rating · gemini-3.5-flash-lite; 95% CI [1258.88097193, 1277.96729164]; votes 5254; rank 37 | 1,259.5599% of row best · rating · grok-4.20-multi-agent-beta-0309; 95% CI [1253.19837141, 1265.89693020]; votes 22925; rank 46 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 0 benchmark wins | 3 benchmark winsOverall lead |
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 | Gemini 3.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| Developer | Google DeepMind | xAI |
| Family | Gemini 3 | Grok 4 20 |
| Model | Gemini 3.5 Flash-Lite | Grok 4.20 Multi-Agent |
| Version | Gemini 3.5 Flash-Lite | Grok 4.20 Multi-Agent |
| Lifecycle | active | preview |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,000K |
| 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 Gemini (Standard) | Xai (Standard) |
| Capabilities | chat, generation, reasoning, tools | generation, reasoning, research, tools |
Gemini 3.5 Flash Lite Capabilities
Grok 4.20 Multi Agent Capabilities
Primary Evidence
Sources and Freshness
Questions
Gemini 3.5 Flash Lite vs Grok 4.20 Multi Agent FAQs
Is Gemini 3.5 Flash Lite or Grok 4.20 Multi Agent better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash Lite and Grok 4.20 Multi Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.5 Flash Lite or Grok 4.20 Multi Agent?+
Gemini 3.5 Flash Lite is $0.30 and Grok 4.20 Multi Agent is $1.25 per million tokens, so Gemini 3.5 Flash Lite is cheaper on this metric. Gemini 3.5 Flash Lite is $2.50 and Grok 4.20 Multi Agent is $2.50 per million tokens, so they are tied on this metric.
Which has a larger context window, Gemini 3.5 Flash Lite or Grok 4.20 Multi Agent?+
Gemini 3.5 Flash Lite has the larger sourced context window. Gemini 3.5 Flash Lite supports 1,049K and Grok 4.20 Multi Agent supports 1,000K.
Which performs better in benchmarks, Gemini 3.5 Flash Lite or Grok 4.20 Multi Agent?+
Grok 4.20 Multi Agent leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Gemini 3.5 Flash Lite or Grok 4.20 Multi Agent be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.5 Flash Lite is not marked open weight; Grok 4.20 Multi Agent is not marked open weight.
Can Gemini 3.5 Flash Lite and Grok 4.20 Multi Agent understand images?+
Gemini 3.5 Flash Lite is documented with image input; Grok 4.20 Multi Agent is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.5 Flash Lite or Grok 4.20 Multi Agent?+
Neither has a larger sourced maximum output. Gemini 3.5 Flash Lite is 66K and Grok 4.20 Multi Agent is —.
Do Gemini 3.5 Flash Lite and Grok 4.20 Multi Agent support reasoning and tool use?+
Gemini 3.5 Flash Lite: reasoning, tool calling, and image input. Grok 4.20 Multi Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.5 Flash Lite or Grok 4.20 Multi Agent?+
Gemini 3.5 Flash Lite has 2 sourced provider routes; Grok 4.20 Multi Agent has 1, so Gemini 3.5 Flash Lite has broader tracked availability.
Which offers better value, Gemini 3.5 Flash Lite or Grok 4.20 Multi Agent?+
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.