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MiMo-V2.6-Pro-UltraSpeed vs Qwen 3 8 27b
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-V2.6-Pro-UltraSpeed
Context window
1.0M
1,048,576 tokens · ~786K words
Model
Qwen 3 8 27b
Context window
66K
65,536 tokens · ~49K 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-V2.6-Pro-UltraSpeed has about 16× the context window of the other in this pair.
MiMo-V2.6-Pro-UltraSpeed has 1500% more context capacity (1048K vs 65K tokens). Qwen 3 8 27b is 77% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use MiMo-V2.6-Pro-UltraSpeed. Its 1048K context fits entire documents without chunking (vs 65K).
RAG / high-volume retrieval
Use Qwen 3 8 27b. Input tokens are 77% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use MiMo-V2.6-Pro-UltraSpeed. Its 131K 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 | MiMo-V2.6-Pro-UltraSpeed | Qwen 3 8 27b |
|---|---|---|
| Context window | 1,048,576 tokens (1048K) | 65,536 tokens (65K) |
| Max output tokens | 131,072 tokens (131K) | 32,768 tokens (32K) |
| Speed tier | Balanced | Fast |
| Vision | Yes | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | Sep 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 | MiMo-V2.6-Pro-UltraSpeed in | MiMo-V2.6-Pro-UltraSpeed out | Qwen 3 8 27b in | Qwen 3 8 27b out |
|---|---|---|---|---|
| Cerebras | — | — | $0.990/M | $1.49/M |
| Openrouter | $4.35/M | $8.70/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