Gemini 3.5 Flash Lite vs GLM 5.3
At a Glance
| Compare |  Gemini 3.5 Flash LiteGoogle DeepMind |  GLM 5.3Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #39 of 4617.6 score · 3/3 sources · complete | #16 of 4670.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.9–80.3 |
| CostLower is better · Published-token output estimate | #8 of 44$0.029 per LiveBench case | #34 of 44$0.248 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #32 of 3846.2 score · 3/3 sources · complete | #26 of 3850.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 38.2–54.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Google AI ↗ · Aug 29, 2026 | $1.20Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $2.50Google AI ↗ · Aug 29, 2026 | $4.00Deepinfra ↗ · Sep 22, 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 | GLM-5.3 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -15.3582% of row best · score · Gemini 3.5 Flash Lite; 95% CI [-16.65525683, -14.04242266]; sessions 23248; observations 670178; rank 45 | 3.05100% of row best · score · GLM 5.3 (Max); 95% CI [2.43618871, 3.66634458]; sessions 73287; observations 6652488; rank 18 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,435.5497% of row best · rating · gemini-3.5-flash-lite; 95% CI [1430.59505493, 1440.49024696]; votes 26165; rank 79 | 1,475.08100% of row best · rating · glm-5.3-max; 95% CI [1468.67816284, 1481.48915679]; votes 10960; rank 20 |
| LiveBench2026-06-25 · overall · leader | 66.3584% of row best · percent · gemini-3.5-flash-lite-high · 11,526 output tokens / case | 79.15100% of row best · percent · glm-5.3 · 62,090 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 73.4283% of row best · points · Gemini 3.5 Flash-Lite · 1,966 output tokens / case | 88.34100% of row best · points · GLM-5.3 · 22,204 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 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 | GLM-5.3 |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Family | Gemini 3 | Glm 5 3 |
| Model | Gemini 3.5 Flash-Lite | GLM-5.3 |
| Version | Gemini 3.5 Flash-Lite | GLM-5.3 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| 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) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, reasoning, structured_outputs, tools |
Gemini 3.5 Flash Lite Capabilities
GLM 5.3 Capabilities
Related Comparisons
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|---|---|---|---|
Gemini 3.5 Flash-LiteGoogle DeepMind | vs | GLM-5.2Z.ai | cross-developer peerstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | family variantstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.5 Flash Lite vs GLM 5.3 FAQs
Is Gemini 3.5 Flash Lite or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash Lite and GLM 5.3, 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 GLM 5.3?+
Gemini 3.5 Flash Lite is $0.30 and GLM 5.3 is $1.20 per million tokens, so Gemini 3.5 Flash Lite is cheaper on this metric. Gemini 3.5 Flash Lite is $2.50 and GLM 5.3 is $4.00 per million tokens, so Gemini 3.5 Flash Lite is cheaper on this metric.
Which has a larger context window, Gemini 3.5 Flash Lite or GLM 5.3?+
Gemini 3.5 Flash Lite has the larger sourced context window. Gemini 3.5 Flash Lite supports 1,049K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, Gemini 3.5 Flash Lite or GLM 5.3?+
GLM 5.3 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Gemini 3.5 Flash Lite or GLM 5.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.5 Flash Lite is not marked open weight; GLM 5.3 is not marked open weight.
Can Gemini 3.5 Flash Lite and GLM 5.3 understand images?+
Gemini 3.5 Flash Lite is documented with image input; GLM 5.3 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.5 Flash Lite or GLM 5.3?+
GLM 5.3 has the larger sourced maximum output: Gemini 3.5 Flash Lite supports 66K and GLM 5.3 supports 131K output tokens.
Do Gemini 3.5 Flash Lite and GLM 5.3 support reasoning and tool use?+
Gemini 3.5 Flash Lite: reasoning, tool calling, and image input. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.5 Flash Lite or GLM 5.3?+
Gemini 3.5 Flash Lite has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, Gemini 3.5 Flash Lite or GLM 5.3?+
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.