Context Window

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Openai Gpt 5 vs Qwen3 30b A3b Fp8

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.

Openai

Model

Openai Gpt 5

Image inputTool calling

Context window

300K

300,000 tokens · ~225K words

Model page
Alibaba

Model

Qwen3 30b A3b Fp8

Context window

41K

40,960 tokens · ~31K 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.

Openai Gpt 5300K
Qwen3 30b A3b Fp841K

Openai Gpt 5 has about 7.3× the context window of the other in this pair.

Token calculator →Memory savings →

Openai Gpt 5 has 632% more context capacity (300K vs 40K tokens). Qwen3 30b A3b Fp8 is 92% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Openai Gpt 5. Its 300K context fits entire documents without chunking (vs 40K).

  • RAG / high-volume retrieval

    Use Qwen3 30b A3b Fp8. Input tokens are 92% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen3 30b A3b Fp8. Its 20K 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.

SpecOpenai Gpt 5Qwen3 30b A3b Fp8
Context window300,000 tokens (300K)40,960 tokens (40K)
Max output tokens16,384 tokens (16K)20,000 tokens (20K)
Speed tierBalancedFast
VisionYesNo
Function callingYesNo
Extended thinkingYesYes
Prompt cachingYesNo
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.

ProviderOpenai Gpt 5 inOpenai Gpt 5 outQwen3 30b A3b Fp8 inQwen3 30b A3b Fp8 out
Novita——$0.090/M$0.450/M
Snowflake$1.25/M$10.00/M——

Frequently asked questions

Openai Gpt 5 has a larger context window: 300K tokens vs 40K. 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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