Compare
Amazon Titan Text Express vs Minimax M2 5 Lightning
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
Minimax M2 5 Lightning
Context window
1M
1,000,000 tokens · ~750K 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.
Minimax M2 5 Lightning has about 23.8× the context window of the other in this pair.
Minimax M2 5 Lightning has 2280% more context capacity (1000K vs 42K tokens). Minimax M2 5 Lightning is 76% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Minimax M2 5 Lightning. Its 1000K context fits entire documents without chunking (vs 42K).
RAG / high-volume retrieval
Use Minimax M2 5 Lightning. Input tokens are 76% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Minimax M2 5 Lightning. Its 8K 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 | Amazon Titan Text Express | Minimax M2 5 Lightning |
|---|---|---|
| Context window | 42,000 tokens (42K) | 1,000,000 tokens (1000K) |
| Max output tokens | 8,000 tokens (8K) | 8,192 tokens (8K) |
| Speed tier | Balanced | Fast |
| Vision | No | No |
| Function calling | No | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | Yes |
| Batch API | No | No |
| Release date | N/A | N/A |
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 | Amazon Titan Text Express in | Amazon Titan Text Express out | Minimax M2 5 Lightning in | Minimax M2 5 Lightning out |
|---|---|---|---|---|
| Aws Bedrock | $1.30/M | $1.70/M | — | — |
| Minimax | — | — | $0.300/M | $2.40/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