Nova 2 Lite vs Hunyuan3D-2.1
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Nova 2 Lite | Hunyuan3D-2.1 |
|---|---|---|
| Developer | Amazon | Tencent |
| Family | Nova 2 | Hunyuan3d 2 1 |
| Model | Nova 2 Lite | Hunyuan3D-2.1 |
| Version | Nova 2 Lite | Hunyuan3D-2.1 |
| Lifecycle | active | active |
| Released | 2025-12-02 | Unknown |
| Knowledge cutoff | 2025-10-01 | Unknown |
| Input modalities | Text, Image, Video, Document | Image |
| Output modalities | Text | 3D |
| Context window | 1,000,000 | Unknown |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Unknown |
| Self-hostable | No | Yes |
| Provider access | Amazon Bedrock (Standard) | Unknown |
| Capabilities | chat, generation, prompt-caching, tools, vision | generation |
10 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Nova 2 Lite Capabilities
Hunyuan3D-2.1 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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Nova 2 LiteAmazon | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Nova 2 LiteAmazon | vs | Pixtral LargeMistral AI | cross-developer peersimage, text |
Nova 2 LiteAmazon | vs |  Command A VisionCohere | cross-developer peersimage, text |
Nova 2 LiteAmazon | vs |  Gemini 2.5 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Nova 2 LiteAmazon | vs | Gemini 3.1 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Nova 2 LiteAmazon | vs | Gemini 3.5 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Nova 2 LiteAmazon | vs | Gemini 2.5 ProGoogle DeepMind | cross-developer peerstext |
Nova 2 LiteAmazon | vs | Gemini 3.6 FlashGoogle DeepMind | cross-developer peerstext |
Nova 2 LiteAmazon | vs | Gemini 3.7 FlashGoogle DeepMind | cross-developer peerstext |
Nova 2 LiteAmazon | vs | Antigravity AgentGoogle DeepMind | cross-developer peerstext |
 Qwen3.7-PlusQwen | vs | Hunyuan3D-2.1Tencent | cross-developer peersvideo |
Primary Evidence
Sources and Freshness
Questions
Nova 2 Lite vs Hunyuan3D-2.1 FAQs
Is Nova 2 Lite or Hunyuan3D-2.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Nova 2 Lite and Hunyuan3D-2.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Nova 2 Lite or Hunyuan3D-2.1?+
Only Nova 2 Lite has a directly sourced input price: $0.30 per million tokens. Only Nova 2 Lite has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Nova 2 Lite or Hunyuan3D-2.1?+
Neither model has a larger sourced context window in this comparison. Nova 2 Lite is 1,000,000 and Hunyuan3D-2.1 is —.
Which performs better in benchmarks, Nova 2 Lite or Hunyuan3D-2.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Nova 2 Lite or Hunyuan3D-2.1 be self-hosted?+
Hunyuan3D-2.1 is the only model in this pair currently marked as self-hostable. Nova 2 Lite is not marked open weight; Hunyuan3D-2.1 is open weight.
Can Nova 2 Lite and Hunyuan3D-2.1 understand images?+
Nova 2 Lite is documented with image input; Hunyuan3D-2.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Nova 2 Lite or Hunyuan3D-2.1?+
Neither has a larger sourced maximum output. Nova 2 Lite is 65,536 and Hunyuan3D-2.1 is —.
Do Nova 2 Lite and Hunyuan3D-2.1 support reasoning and tool use?+
Nova 2 Lite: tool calling and image input. Hunyuan3D-2.1: image input. Feature support does not establish relative quality.
Which is available from more inference providers, Nova 2 Lite or Hunyuan3D-2.1?+
Nova 2 Lite has 1 sourced provider route; Hunyuan3D-2.1 has 0, so Nova 2 Lite has broader tracked availability.
Which offers better value, Nova 2 Lite or Hunyuan3D-2.1?+
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.