Helix 02 vs Granite Speech 5.0 TurboCTC NC
At a Glance
| Compare |  Helix 02Figure | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | Not reported | Not reported |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 2, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | Helix 02 | Granite Speech 5.0 TurboCTC NC |
|---|---|---|
| Developer | Figure | IBM |
| Family | Helix | Granite Speech 5 0 |
| Model | Helix 02 | Granite Speech 5.0 TurboCTC NC |
| Version | 02 | Granite Speech 5.0 TurboCTC NC |
| Lifecycle | active | active |
| Released | 2026-01-05 | 2026-08-25 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Robot state | Audio |
| Output modalities | Robot action | Text |
| Context window | Unknown | Unknown |
| Total parameters | Unknown | 473M |
| Active parameters | Unknown | Unknown |
| License | Unknown | cc-by-nc-sa-4.0 |
| Open weights | No | Yes |
| API available | No | No |
| Self-hostable | No | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | dexterous-manipulation, long-horizon-control, tactile-control, whole-body-control | automatic-speech-recognition, transcription |
| 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
Granite Speech 5.0 TurboCTC NC Capabilities
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Primary Evidence
Sources and Freshness
Questions
Helix 02 vs Granite Speech 5.0 TurboCTC NC FAQs
Is Helix 02 or Granite Speech 5.0 TurboCTC NC better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Helix 02 and Granite Speech 5.0 TurboCTC NC, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Helix 02 or Granite Speech 5.0 TurboCTC NC?+
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 Granite Speech 5.0 TurboCTC NC?+
Neither model has a larger sourced context window in this comparison. Helix 02 is — and Granite Speech 5.0 TurboCTC NC is —.
Which performs better in benchmarks, Helix 02 or Granite Speech 5.0 TurboCTC NC?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Helix 02 or Granite Speech 5.0 TurboCTC NC be self-hosted?+
Granite Speech 5.0 TurboCTC NC is the only model in this pair currently marked as self-hostable. Helix 02 is not marked open weight; Granite Speech 5.0 TurboCTC NC is open weight.
Can Helix 02 and Granite Speech 5.0 TurboCTC NC understand images?+
Helix 02 is documented with image input; Granite Speech 5.0 TurboCTC NC is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Helix 02 or Granite Speech 5.0 TurboCTC NC?+
Neither has a larger sourced maximum output. Helix 02 is — and Granite Speech 5.0 TurboCTC NC is —.
Do Helix 02 and Granite Speech 5.0 TurboCTC NC support reasoning and tool use?+
Helix 02: image input. Granite Speech 5.0 TurboCTC NC: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Helix 02 or Granite Speech 5.0 TurboCTC NC?+
Helix 02 has 0 sourced provider routes; Granite Speech 5.0 TurboCTC NC has 0, a tie.
Which offers better value, Helix 02 or Granite Speech 5.0 TurboCTC NC?+
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.