Context Window

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Qwen3 Vl 235b A22b Instruct Fp8 vs Qwen3p7 Plus

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.

Alibaba

Model

Qwen3 Vl 235b A22b Instruct Fp8

Image input

Context window

262K

262,144 tokens · ~197K words

Model page
Alibaba

Model

Qwen3p7 Plus

Image inputTool calling

Context window

262K

262,144 tokens · ~197K words

Model page

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.

Qwen3 Vl 235b A22b Instruct Fp8262K
Qwen3p7 Plus262K

Same context window size for both models.

Token calculator →Memory savings →

Qwen3 Vl 235b A22b Instruct Fp8 and Qwen3p7 Plus have identical context windows (262K tokens). Qwen3 Vl 235b A22b Instruct Fp8 is 25% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • RAG / high-volume retrieval

    Use Qwen3 Vl 235b A22b Instruct Fp8. Input tokens are 25% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen3p7 Plus. Its 65K 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.

SpecQwen3 Vl 235b A22b Instruct Fp8Qwen3p7 Plus
Context window262,144 tokens (262K)262,144 tokens (262K)
Max output tokens16,384 tokens (16K)65,536 tokens (65K)
Speed tierBalancedBalanced
VisionYesYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/AN/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.

ProviderQwen3 Vl 235b A22b Instruct Fp8 inQwen3 Vl 235b A22b Instruct Fp8 outQwen3p7 Plus inQwen3p7 Plus out
Fireworks——$0.400/M$1.60/M
Gmi$0.300/M$1.40/M——

Frequently asked questions

Qwen3p7 Plus has a larger context window: 262K tokens vs 262K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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.

Calculate your savingsLearn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model