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Grok4 6 vs Qwen Qwq 32b Preview
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 61× the context window of the other in this pair.
Grok4 6 has 6003% more context capacity (2000K vs 32K tokens). Qwen Qwq 32b Preview is 55% 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 32K).
RAG / high-volume retrieval
Use Qwen Qwq 32b Preview. Input tokens are 55% 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 | Grok4 6 | Qwen Qwq 32b Preview |
|---|---|---|
| Context window | 2,000,000 tokens (2000K) | 32,768 tokens (32K) |
| Max output tokens | N/A | 32,768 tokens (32K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | Yes | No |
| 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 | Grok4 6 in | Grok4 6 out | Qwen Qwq 32b Preview in | Qwen Qwq 32b Preview out |
|---|---|---|---|---|
| Fireworks | — | — | $0.900/M | $0.900/M |
| Gmi | $2.00/M | $6.00/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