Context Window

Compare

GPT-4o Search Preview vs Qwen3 Coder 480b A35b Instruct 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

GPT-4o Search Preview

Image inputTool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Alibaba

Model

Qwen3 Coder 480b A35b Instruct Fp8

Tool calling

Context window

256K

256,000 tokens · ~192K 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.

GPT-4o Search Preview128K
Qwen3 Coder 480b A35b Instruct Fp8256K

Qwen3 Coder 480b A35b Instruct Fp8 has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3 Coder 480b A35b Instruct Fp8 has 100% more context capacity (256K vs 128K tokens). Qwen3 Coder 480b A35b Instruct Fp8 is 20% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3 Coder 480b A35b Instruct Fp8. Its 256K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Qwen3 Coder 480b A35b Instruct Fp8. Input tokens are 20% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecGPT-4o Search PreviewQwen3 Coder 480b A35b Instruct Fp8
Context window128,000 tokens (128K)256,000 tokens (256K)
Max output tokens16,384 tokens (16K)N/A
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesNo
Batch APIYesNo
Release dateMar 2025N/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.

ProviderGPT-4o Search Preview inGPT-4o Search Preview outQwen3 Coder 480b A35b Instruct Fp8 inQwen3 Coder 480b A35b Instruct Fp8 out
Openai$2.50/M$10.00/M——
Together Ai——$2.00/M$2.00/M

Frequently asked questions

Qwen3 Coder 480b A35b Instruct Fp8 has a larger context window: 256K 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.

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