Compare
GLM 5.2 (batch) vs MiMo-V2.5
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
MiMo-V2.5
Context window
1.0M
1,048,576 tokens · ~786K 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.
MiMo-V2.5 has about 2× the context window of the other in this pair.
MiMo-V2.5 has 104% more context capacity (1048K vs 512K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use MiMo-V2.5. Its 1048K context fits entire documents without chunking (vs 512K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | GLM 5.2 (batch) | MiMo-V2.5 |
|---|---|---|
| Context window | 512,000 tokens (512K) | 1,048,576 tokens (1048K) |
| Max output tokens | N/A | 131,072 tokens (131K) |
| Speed tier | Balanced | Balanced |
| Vision | No | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | Yes |
| Batch API | No | No |
| Release date | Jun 2026 | 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 5.2 (batch) in | GLM 5.2 (batch) out | MiMo-V2.5 in | MiMo-V2.5 out |
|---|---|---|---|---|
| Openrouter | — | — | $0.400/M | $2.00/M |
Frequently asked questions
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Use a smaller model.
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Example: a multi-turn chat session
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