Compare
Apac Amazon Nova 2 Pro Preview 20251202 vs GLM Flash Latest
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
Apac Amazon Nova 2 Pro Preview 20251202
Context window
1M
1,000,000 tokens · ~750K words
Model
GLM Flash Latest
Context window
1.3M
1,310,720 tokens · ~983K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
GLM Flash Latest has about 1.3× the context window of the other in this pair.
GLM Flash Latest has 31% more context capacity (1310K vs 1000K tokens). GLM Flash Latest is 96% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use GLM Flash Latest. Its 1310K context fits entire documents without chunking (vs 1000K).
RAG / high-volume retrieval
Use GLM Flash Latest. Input tokens are 96% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use GLM Flash Latest. Its 131K max output lets you generate complete artifacts in one request.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Apac Amazon Nova 2 Pro Preview 20251202 | GLM Flash Latest |
|---|---|---|
| Context window | 1,000,000 tokens (1000K) | 1,310,720 tokens (1310K) |
| Max output tokens | 64,000 tokens (64K) | 131,072 tokens (131K) |
| Speed tier | Balanced | Fast |
| Vision | Yes | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | Yes |
| Batch API | No | No |
| Release date | N/A | Aug 2026 |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Apac Amazon Nova 2 Pro Preview 20251202 in | Apac Amazon Nova 2 Pro Preview 20251202 out | GLM Flash Latest in | GLM Flash Latest out |
|---|---|---|---|---|
| Aws Bedrock | $2.19/M | $17.50/M | — | — |
| Openrouter | — | — | $0.075/M | $0.250/M |
Frequently asked questions
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model