Helix 02 vs GLM 5V Turbo
At a Glance
| Compare |  Helix 02Figure |  GLM 5V TurboZ.ai |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | Not reported | 200K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 29, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | Helix 02 | GLM-5V-Turbo |
|---|---|---|
| Developer | Figure | Z.ai |
| Family | Helix | Glm 5v |
| Model | Helix 02 | GLM-5V-Turbo |
| Version | 02 | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | 2026-01-05 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Robot state | Text, Image, Video, Document |
| Output modalities | Robot action | Text |
| Context window | Unknown | 200K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | No | Yes |
| Self-hostable | No | No |
| Provider access | Unknown | Z.ai (Standard) |
| Capabilities | dexterous-manipulation, long-horizon-control, tactile-control, whole-body-control | agents, chat, computer-use, reasoning, tools, vision |
| Robotics model type | Vision-language-action model | Unknown |
| Action representation | Full-body joint targets | Unknown |
| Control architecture | Semantic reasoning, visuomotor policy, and kHz whole-body controller | Unknown |
| Inference location | On device | Unknown |
| Native control rate (Hz) | Unknown | Unknown |
| Supported embodiments | Figure 03 | Unknown |
| Training data | Figure reports more than 1,000 hours of human motion data plus sim-to-real reinforcement learning for its whole-body controller. | Unknown |
Helix 02 Capabilities
GLM 5V Turbo Capabilities
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Helix 02Figure | vs | Grok 4.6xAI | cross-developer peers |
Helix 02Figure | vs |  Qwen3.8-MaxQwen | cross-developer peers |
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Helix 02Figure | vs | GLM-5.3Z.ai | cross-developer peers |
Helix 02Figure | vs |  Hy4 previewTencent | cross-developer peers |
Seed 2.1 ProByteDance Seed | vs | Helix 02Figure | cross-developer peers |
Helix 02Figure | vs |  Mistral Large 3Mistral AI | cross-developer peers |
Primary Evidence
Sources and Freshness
Questions
Helix 02 vs GLM 5V Turbo FAQs
Is Helix 02 or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Helix 02 and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Helix 02 or GLM 5V Turbo?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Helix 02 or GLM 5V Turbo?+
Neither model has a larger sourced context window in this comparison. Helix 02 is — and GLM 5V Turbo is 200K.
Which performs better in benchmarks, Helix 02 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 Helix 02 or GLM 5V Turbo be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Helix 02 is not marked open weight; GLM 5V Turbo is not marked open weight.
Can Helix 02 and GLM 5V Turbo understand images?+
Helix 02 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, Helix 02 or GLM 5V Turbo?+
Neither has a larger sourced maximum output. Helix 02 is — and GLM 5V Turbo is 131K.
Do Helix 02 and GLM 5V Turbo support reasoning and tool use?+
Helix 02: 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, Helix 02 or GLM 5V Turbo?+
Helix 02 has 0 sourced provider routes; GLM 5V Turbo has 1, so GLM 5V Turbo has broader tracked availability.
Which offers better value, Helix 02 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.