Gemini Deep Research vs GLM 5.3 Flash
At a Glance
| Compare |  Gemini Deep ResearchGoogle DeepMind |  GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #2 of 44$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 2, 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
Side-by-Side Facts
| Field | Gemini Deep Research | GLM-5.3-Flash |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Family | Gemini Agents | Glm 5 3 Flash |
| Model | Gemini Deep Research | GLM-5.3-Flash |
| Version | Gemini Deep Research | GLM-5.3-Flash |
| Lifecycle | preview | active |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video, Document |
| Output modalities | Text, Image | Text |
| Context window | 1,049K | 1,000K |
| Total parameters | Unknown | 320B |
| Active parameters | Unknown | 18B |
| License | Unknown | MIT |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | generation, reasoning, research, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
Gemini Deep Research Capabilities
GLM 5.3 Flash Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini Deep Research vs GLM 5.3 Flash FAQs
Is Gemini Deep Research or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini Deep Research or GLM 5.3 Flash?+
Only GLM 5.3 Flash has a directly sourced input price: $0.075 per million tokens. Only GLM 5.3 Flash has a directly sourced output price: $0.25 per million tokens.
Which has a larger context window, Gemini Deep Research or GLM 5.3 Flash?+
Gemini Deep Research has the larger sourced context window. Gemini Deep Research supports 1,049K and GLM 5.3 Flash supports 1,000K.
Which performs better in benchmarks, Gemini Deep Research or GLM 5.3 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini Deep Research or GLM 5.3 Flash be self-hosted?+
GLM 5.3 Flash is the only model in this pair currently marked as self-hostable. Gemini Deep Research is not marked open weight; GLM 5.3 Flash is open weight.
Can Gemini Deep Research and GLM 5.3 Flash understand images?+
Gemini Deep Research is documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini Deep Research or GLM 5.3 Flash?+
GLM 5.3 Flash has the larger sourced maximum output: Gemini Deep Research supports 66K and GLM 5.3 Flash supports 131K output tokens.
Do Gemini Deep Research and GLM 5.3 Flash support reasoning and tool use?+
Gemini Deep Research: reasoning, tool calling, and image input. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini Deep Research or GLM 5.3 Flash?+
Gemini Deep Research has 2 sourced provider routes; GLM 5.3 Flash has 4, so GLM 5.3 Flash has broader tracked availability.
Which offers better value, Gemini Deep Research or GLM 5.3 Flash?+
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.