Context Window

Compare

Gpt Oss 120b Maas 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 Oss 120b Maas

Context window

131K

131,072 tokens · ~98K 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 Oss 120b Maas131K
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 95% more context capacity (256K vs 131K tokens). Gpt Oss 120b Maas is 95% 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 131K).

  • RAG / high-volume retrieval

    Use Gpt Oss 120b Maas. Input tokens are 95% 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 Oss 120b MaasQwen3 Coder 480b A35b Instruct Fp8
Context window131,072 tokens (131K)256,000 tokens (256K)
Max output tokens32,768 tokens (32K)N/A
Speed tierBalancedBalanced
VisionNoNo
Function callingNoYes
Extended thinkingYesNo
Prompt cachingNoYes
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.

ProviderGpt Oss 120b Maas inGpt Oss 120b Maas outQwen3 Coder 480b A35b Instruct Fp8 inQwen3 Coder 480b A35b Instruct Fp8 out
Gmi——$0.900/M$4.50/M
Google Vertex$0.090/M$0.360/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 131K. 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