Nova 2 Lite vs Gemma 4 12B
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Nova 2 Lite | Gemma 4 12B |
|---|---|---|
| Developer | Amazon | Google DeepMind |
| Family | Nova 2 | Gemma 4 |
| Model | Nova 2 Lite | Gemma 4 12B |
| Version | Nova 2 Lite | Gemma 4 12B |
| Lifecycle | active | active |
| Released | 2025-12-02 | 2026-05-23 |
| Knowledge cutoff | 2025-10-01 | Unknown |
| Input modalities | Text, Image, Video, Document | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 1,000K | 262K |
| Total parameters | Unknown | 12B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Amazon Bedrock (Standard) | Together Ai (Standard) |
| Capabilities | chat, generation, prompt-caching, tools, vision | chat, generation, reasoning, structured_outputs, tools |
14 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
Nova 2 Lite Capabilities
Gemma 4 12B Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Nova 2 LiteAmazon | vs | GPT-6 AstraOpenAI | cross-developer peersimage, text |
Nova 2 LiteAmazon | vs | Claude Fable 5.1Anthropic | cross-developer peersimage, text |
Nova 2 LiteAmazon | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Nova 2 LiteAmazon | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Nova 2 LiteAmazon | vs | Grok 4.6xAI | cross-developer peersimage, text |
Nova 2 LiteAmazon | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text, video |
Nova 2 LiteAmazon | vs | Kimi-K3Moonshot AI | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs | Nova 2 LiteAmazon | cross-developer peersimage, text |
Nova 2 LiteAmazon | vs | GLM-5.3Z.ai | cross-developer peerstext |
Nova 2 LiteAmazon | vs | Hy4 previewTencent | cross-developer peerstext |
Nova 2 LiteAmazon | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text, video |
Nova 2 LiteAmazon | vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Nova 2 Lite vs Gemma 4 12B FAQs
Is Nova 2 Lite or Gemma 4 12B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Nova 2 Lite and Gemma 4 12B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Nova 2 Lite or Gemma 4 12B?+
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 Gemma 4 12B?+
Nova 2 Lite has the larger sourced context window. Nova 2 Lite supports 1,000K and Gemma 4 12B supports 262K.
Which performs better in benchmarks, Nova 2 Lite or Gemma 4 12B?+
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 Gemma 4 12B be self-hosted?+
Gemma 4 12B is the only model in this pair currently marked as self-hostable. Nova 2 Lite is not marked open weight; Gemma 4 12B is open weight.
Can Nova 2 Lite and Gemma 4 12B understand images?+
Nova 2 Lite is documented with image input; Gemma 4 12B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Nova 2 Lite or Gemma 4 12B?+
Neither has a larger sourced maximum output. Nova 2 Lite is 66K and Gemma 4 12B is —.
Do Nova 2 Lite and Gemma 4 12B support reasoning and tool use?+
Nova 2 Lite: tool calling and image input. Gemma 4 12B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Nova 2 Lite or Gemma 4 12B?+
Nova 2 Lite has 1 sourced provider route; Gemma 4 12B has 1, a tie.
Which offers better value, Nova 2 Lite or Gemma 4 12B?+
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.