Context Window

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DeepSeek V4 Flash Vision Exp vs Qwen3 6 Plus 2026 04 02

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.

Deepseek

Model

DeepSeek V4 Flash Vision Exp

Image inputTool calling

Context window

1.0M

1,048,576 tokens · ~786K words

Model page
Alibaba

Model

Qwen3 6 Plus 2026 04 02

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.

DeepSeek V4 Flash Vision Exp1.0M
Qwen3 6 Plus 2026 04 02262K

DeepSeek V4 Flash Vision Exp has about 4× the context window of the other in this pair.

Token calculator →Memory savings →

DeepSeek V4 Flash Vision Exp has 300% more context capacity (1048K vs 262K tokens). DeepSeek V4 Flash Vision Exp is 40% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use DeepSeek V4 Flash Vision Exp. Its 1048K context fits entire documents without chunking (vs 262K).

  • RAG / high-volume retrieval

    Use DeepSeek V4 Flash Vision Exp. Input tokens are 40% cheaper — critical when sending large retrieved contexts.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecDeepSeek V4 Flash Vision ExpQwen3 6 Plus 2026 04 02
Context window1,048,576 tokens (1048K)262,144 tokens (262K)
Max output tokens384,000 tokens (384K)N/A
Speed tierFastBalanced
VisionYesNo
Function callingYesNo
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateAug 2026N/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.

ProviderDeepSeek V4 Flash Vision Exp inDeepSeek V4 Flash Vision Exp outQwen3 6 Plus 2026 04 02 inQwen3 6 Plus 2026 04 02 out
Deepseek$0.300/M$1.20/M——
Fireworks$0.220/M$0.660/M——
Gmi$0.440/M$1.32/M$0.500/M$3.00/M
Novita$0.440/M$1.32/M——
Openrouter$0.216/M$0.647/M——

Frequently asked questions

DeepSeek V4 Flash Vision Exp has a larger context window: 1048K 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.

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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.

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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