Gemini 3.1 Pro vs GLM-5V-Turbo
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemini 3.1 Pro | GLM-5V-Turbo |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Family | Gemini 3 | Glm 5v |
| Model | Gemini 3.1 Pro | GLM-5V-Turbo |
| Version | Gemini 3.1 Pro | GLM-5V-Turbo |
| Lifecycle | preview | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,048,576 | 200,000 |
| 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) | Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, computer-use, reasoning, tools, vision |
13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Gemini 3.1 Pro Capabilities
GLM-5V-Turbo Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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 Qwen3.7-PlusQwen | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
Qwen3.8-FlashQwen | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
Qwen3.8-MaxQwen | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
Gemini 2.5 ProGoogle DeepMind | vs | Gemini 3.1 ProGoogle DeepMind | family variantstext |
Gemini 3.1 ProGoogle DeepMind | vs | Gemini 3.5 FlashGoogle DeepMind | family variantstext |
 Pixtral LargeMistral AI | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text |
 Command A VisionCohere | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs GLM-5V-Turbo FAQs
Is Gemini 3.1 Pro or GLM-5V-Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and GLM-5V-Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Pro or GLM-5V-Turbo?+
Only Gemini 3.1 Pro has a directly sourced input price: $2.00 per million tokens. Only Gemini 3.1 Pro has a directly sourced output price: $12.00 per million tokens.
Which has a larger context window, Gemini 3.1 Pro or GLM-5V-Turbo?+
Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,048,576 and GLM-5V-Turbo supports 200,000.
Which performs better in benchmarks, Gemini 3.1 Pro or GLM-5V-Turbo?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.1 Pro or GLM-5V-Turbo be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.1 Pro is not marked open weight; GLM-5V-Turbo is not marked open weight.
Can Gemini 3.1 Pro and GLM-5V-Turbo understand images?+
Gemini 3.1 Pro is documented with image input; GLM-5V-Turbo is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Pro or GLM-5V-Turbo?+
GLM-5V-Turbo has the larger sourced maximum output: Gemini 3.1 Pro supports 65,536 and GLM-5V-Turbo supports 131,072 output tokens.
Do Gemini 3.1 Pro and GLM-5V-Turbo support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. GLM-5V-Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Pro or GLM-5V-Turbo?+
Gemini 3.1 Pro has 1 sourced provider route; GLM-5V-Turbo has 1, a tie.
Which offers better value, Gemini 3.1 Pro or GLM-5V-Turbo?+
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.