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Qwen VL Plus vs Text Bison
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.
Qwen VL Plus and Text Bison have identical context windows (8K tokens). Text Bison is 40% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
RAG / high-volume retrieval
Use Text Bison. Input tokens are 40% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Qwen VL Plus. Its 2K 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 | Qwen VL Plus | Text Bison |
|---|---|---|
| Context window | 8,192 tokens (8K) | 8,192 tokens (8K) |
| Max output tokens | 2,048 tokens (2K) | 1,024 tokens (1K) |
| Speed tier | Balanced | Balanced |
| Vision | Yes | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | Feb 2025 | 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 | Qwen VL Plus in | Qwen VL Plus out | Text Bison in | Text Bison out |
|---|---|---|---|---|
| — | — | $0.125/M | $0.125/M | |
| Openrouter | $0.210/M | $0.630/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