Nova 2 Lite vs GLM OCR
At a Glance
| Compare |  Nova 2 LiteAmazon |  GLM OCRZ.ai |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Amazon Bedrock ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Amazon Bedrock ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,000K | 131K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Nova 2 Lite | GLM-OCR |
|---|---|---|
| Developer | Amazon | Z.ai |
| Family | Nova 2 | Glm OCR |
| Model | Nova 2 Lite | GLM-OCR |
| Version | Nova 2 Lite | GLM-OCR |
| Lifecycle | active | active |
| Released | 2025-12-02 | Unknown |
| Knowledge cutoff | 2025-10-01 | Unknown |
| Input modalities | Text, Image, Video, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 131K |
| Total parameters | Unknown | 1.3B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| 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, tools |
Nova 2 Lite Capabilities
GLM OCR Capabilities
Related Comparisons
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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 GLM OCR FAQs
Is Nova 2 Lite or GLM OCR better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Nova 2 Lite and GLM OCR, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Nova 2 Lite or GLM OCR?+
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 GLM OCR?+
Nova 2 Lite has the larger sourced context window. Nova 2 Lite supports 1,000K and GLM OCR supports 131K.
Which performs better in benchmarks, Nova 2 Lite or GLM OCR?+
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 GLM OCR be self-hosted?+
GLM OCR is the only model in this pair currently marked as self-hostable. Nova 2 Lite is not marked open weight; GLM OCR is open weight.
Can Nova 2 Lite and GLM OCR understand images?+
Nova 2 Lite is documented with image input; GLM OCR is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Nova 2 Lite or GLM OCR?+
Neither has a larger sourced maximum output. Nova 2 Lite is 66K and GLM OCR is —.
Do Nova 2 Lite and GLM OCR support reasoning and tool use?+
Nova 2 Lite: tool calling and image input. GLM OCR: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Nova 2 Lite or GLM OCR?+
Nova 2 Lite has 1 sourced provider route; GLM OCR has 1, a tie.
Which offers better value, Nova 2 Lite or GLM OCR?+
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.