DeepSeek V4 Flash vs Helix 02
At a Glance
| Compare | DeepSeek V4 FlashDeepSeek | Helix 02Figure |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 1,049K | Not reported |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-V4-Flash | Helix 02 |
|---|---|---|
| Developer | DeepSeek | Figure |
| Family | Deepseek V4 Flash | Helix |
| Model | DeepSeek-V4-Flash | Helix 02 |
| Version | DeepSeek-V4-Flash | 02 |
| Lifecycle | retired | active |
| Released | 2026-04-24 | 2026-01-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Robot state |
| Output modalities | Text | Robot action |
| Context window | 1,049K | Unknown |
| Total parameters | 290.9B | Unknown |
| Active parameters | 13B | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | No |
| Self-hostable | Yes | No |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, reasoning | dexterous-manipulation, long-horizon-control, tactile-control, whole-body-control |
| Robotics model type | Unknown | Vision-language-action model |
| Action representation | Unknown | Full-body joint targets |
| Control architecture | Unknown | Semantic reasoning, visuomotor policy, and kHz whole-body controller |
| Inference location | Unknown | On device |
| Native control rate (Hz) | Unknown | Unknown |
| Supported embodiments | Unknown | Figure 03 |
| Training data | Unknown | Figure reports more than 1,000 hours of human motion data plus sim-to-real reinforcement learning for its whole-body controller. |
DeepSeek V4 Flash Capabilities
Helix 02 Capabilities
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash vs Helix 02 FAQs
Is DeepSeek V4 Flash or Helix 02 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash and Helix 02, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash or Helix 02?+
Only DeepSeek V4 Flash has a directly sourced input price: $0.0868 per million tokens. Only DeepSeek V4 Flash has a directly sourced output price: $0.1736 per million tokens.
Which has a larger context window, DeepSeek V4 Flash or Helix 02?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash is 1,049K and Helix 02 is —.
Which performs better in benchmarks, DeepSeek V4 Flash or Helix 02?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Flash or Helix 02 be self-hosted?+
DeepSeek V4 Flash is the only model in this pair currently marked as self-hostable. DeepSeek V4 Flash is open weight; Helix 02 is not marked open weight.
Can DeepSeek V4 Flash and Helix 02 understand images?+
DeepSeek V4 Flash is not documented with image input; Helix 02 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash or Helix 02?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and Helix 02 is —.
Do DeepSeek V4 Flash and Helix 02 support reasoning and tool use?+
DeepSeek V4 Flash: reasoning. Helix 02: image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash or Helix 02?+
DeepSeek V4 Flash has 5 sourced provider routes; Helix 02 has 0, so DeepSeek V4 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Flash or Helix 02?+
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.