Context Window

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Deepseek R1 Distill Qwen 14b vs GPT-4o Search Preview

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

Deepseek R1 Distill Qwen 14b

Context window

131K

131,072 tokens · ~98K words

Model page
Openai

Model

GPT-4o Search Preview

Image inputTool calling

Context window

128K

128,000 tokens · ~96K 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 R1 Distill Qwen 14b131K
GPT-4o Search Preview128K

Deepseek R1 Distill Qwen 14b has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Deepseek R1 Distill Qwen 14b has 2% more context capacity (131K vs 128K tokens). Deepseek R1 Distill Qwen 14b is 97% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Deepseek R1 Distill Qwen 14b. Its 131K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Deepseek R1 Distill Qwen 14b. Input tokens are 97% 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 R1 Distill Qwen 14bGPT-4o Search Preview
Context window131,072 tokens (131K)128,000 tokens (128K)
Max output tokensN/A16,384 tokens (16K)
Speed tierDeepBalanced
VisionNoYes
Function callingNoYes
Extended thinkingYesNo
Prompt cachingNoYes
Batch APINoYes
Release dateN/AMar 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.

ProviderDeepseek R1 Distill Qwen 14b inDeepseek R1 Distill Qwen 14b outGPT-4o Search Preview inGPT-4o Search Preview out
Fireworks$0.200/M$0.200/M——
Novita$0.150/M$0.150/M——
Nscale$0.070/M$0.070/M——
Openai——$2.50/M$10.00/M

Frequently asked questions

Deepseek R1 Distill Qwen 14b has a larger context window: 131K tokens vs 128K. 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