Context Window

Compare

Amazon Titan Text Express vs Qwen3 Coder 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.

Amazon

Model

Amazon Titan Text Express

Context window

42K

42,000 tokens · ~32K words

Model page
Alibaba

Model

Qwen3 Coder Plus

Tool calling

Context window

998K

997,952 tokens · ~748K 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.

Amazon Titan Text Express42K
Qwen3 Coder Plus998K

Qwen3 Coder Plus has about 23.8× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3 Coder Plus has 2276% more context capacity (997K vs 42K tokens). Qwen3 Coder Plus is 23% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3 Coder Plus. Its 997K context fits entire documents without chunking (vs 42K).

  • RAG / high-volume retrieval

    Use Qwen3 Coder Plus. Input tokens are 23% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen3 Coder 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.

SpecAmazon Titan Text ExpressQwen3 Coder Plus
Context window42,000 tokens (42K)997,952 tokens (997K)
Max output tokens8,000 tokens (8K)65,536 tokens (65K)
Speed tierBalancedBalanced
VisionNoNo
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/ASep 2025

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.

ProviderAmazon Titan Text Express inAmazon Titan Text Express outQwen3 Coder Plus inQwen3 Coder Plus out
Alibaba Cloud————
Aws Bedrock$1.30/M$1.70/M——
Openrouter——$1.00/M$5.00/M

Frequently asked questions

Qwen3 Coder Plus has a larger context window: 997K tokens vs 42K. 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