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GLM 5.2 vs Grok4 6
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.
Grok4 6 has about 1.9× the context window of the other in this pair.
Grok4 6 has 90% more context capacity (2000K vs 1048K tokens). GLM 5.2 is 30% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Grok4 6. Its 2000K context fits entire documents without chunking (vs 1048K).
RAG / high-volume retrieval
Use GLM 5.2. Input tokens are 30% 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 5.2 | Grok4 6 |
|---|---|---|
| Context window | 1,048,576 tokens (1048K) | 2,000,000 tokens (2000K) |
| Max output tokens | 131,072 tokens (131K) | N/A |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | Yes | No |
| Extended thinking | Yes | No |
| Prompt caching | Yes | Yes |
| Batch API | No | No |
| Release date | Jun 2026 | 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 | GLM 5.2 in | GLM 5.2 out | Grok4 6 in | Grok4 6 out |
|---|---|---|---|---|
| Alibaba Cloud | $1.40/M | $4.40/M | — | — |
| Baseten | $1.40/M | $4.40/M | — | — |
| Cloudflare | $1.40/M | $4.40/M | — | — |
| Deepinfra | $0.750/M | $2.40/M | — | — |
| Friendliai | $1.40/M | $4.40/M | — | — |
| Gmi | — | — | $2.00/M | $6.00/M |
| Mistral | $1.40/M | $4.40/M | — | — |
| Nebius | $1.40/M | $4.40/M | — | — |
| Novita | $1.40/M | $4.40/M | — | — |
| Openrouter | $0.069/M | $4.30/M | — | — |
| Together Ai | $1.40/M | $4.40/M | — | — |
| Z Ai | $1.40/M | $4.40/M | — | — |
Frequently asked questions
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