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Glm 5p2 vs MiMo-V2.5-Pro
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.
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.
Same context window size for both models.
Glm 5p2 and MiMo-V2.5-Pro have identical context windows (1048K tokens). MiMo-V2.5-Pro is 28% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
RAG / high-volume retrieval
Use MiMo-V2.5-Pro. Input tokens are 28% cheaper — critical when sending large retrieved contexts.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Glm 5p2 | MiMo-V2.5-Pro |
|---|---|---|
| Context window | 1,048,576 tokens (1048K) | 1,048,576 tokens (1048K) |
| Max output tokens | 131,072 tokens (131K) | 131,072 tokens (131K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | Yes |
| Batch API | No | No |
| Release date | N/A | Apr 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 | Glm 5p2 in | Glm 5p2 out | MiMo-V2.5-Pro in | MiMo-V2.5-Pro out |
|---|---|---|---|---|
| Fireworks | $1.40/M | $4.40/M | — | — |
| Openrouter | — | — | $1.00/M | $3.00/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