Gemini 3.5 Flash vs GLM 5.3
At a Glance
| Compare |  Gemini 3.5 FlashGoogle DeepMind |  GLM 5.3Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #15 of 4672.1 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 | #25 of 44$0.140 per LiveBench case | #34 of 44$0.248 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #15 of 3856.8 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 | $1.50Google AI ↗ · Aug 29, 2026 | $1.20Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $9.00Google 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 | GLM-5.3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,475.72100% of row best · rating · gemini-3.5-flash-medium; 95% CI [1471.24691172, 1480.19960285]; votes 36627; rank 19 | 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 | 78.84100% of row best · percent · gemini-3.5-flash-high · 15,522 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 | 75.5886% of row best · points · Gemini 3.5 Flash (high thinking) · 16,743 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 · 1 tie | 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 | Gemini 3.5 Flash | GLM-5.3 |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Family | Gemini 3 | Glm 5 3 |
| Model | Gemini 3.5 Flash | GLM-5.3 |
| Version | Gemini 3.5 Flash | 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 Capabilities
GLM 5.3 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Gemini 3.5 FlashGoogle DeepMind | vs | GLM-5.2Z.ai | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | Gemini 3.5 FlashGoogle DeepMind | family variantstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.5 Flash vs GLM 5.3 FAQs
Is Gemini 3.5 Flash or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash 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 or GLM 5.3?+
Gemini 3.5 Flash is $1.50 and GLM 5.3 is $1.20 per million tokens, so GLM 5.3 is cheaper on this metric. Gemini 3.5 Flash is $9.00 and GLM 5.3 is $4.00 per million tokens, so GLM 5.3 is cheaper on this metric.
Which has a larger context window, Gemini 3.5 Flash or GLM 5.3?+
Gemini 3.5 Flash has the larger sourced context window. Gemini 3.5 Flash supports 1,049K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, Gemini 3.5 Flash or GLM 5.3?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Gemini 3.5 Flash or GLM 5.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.5 Flash is not marked open weight; GLM 5.3 is not marked open weight.
Can Gemini 3.5 Flash and GLM 5.3 understand images?+
Gemini 3.5 Flash 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 or GLM 5.3?+
GLM 5.3 has the larger sourced maximum output: Gemini 3.5 Flash supports 66K and GLM 5.3 supports 131K output tokens.
Do Gemini 3.5 Flash and GLM 5.3 support reasoning and tool use?+
Gemini 3.5 Flash: 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 or GLM 5.3?+
Gemini 3.5 Flash 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 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.