Context Window

Compare

Mistral Medium Latest vs Qwen3 235b A22b 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.

Mistral

Model

Mistral Medium Latest

Image inputTool calling

Context window

131K

131,072 tokens · ~98K words

Model page
Alibaba

Model

Qwen3 235b A22b 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.

Mistral Medium Latest131K
Qwen3 235b A22b Fp841K

Mistral Medium Latest has about 3.2× the context window of the other in this pair.

Token calculator →Memory savings →

Mistral Medium Latest has 220% more context capacity (131K vs 40K tokens). Qwen3 235b A22b Fp8 is 86% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mistral Medium Latest. Its 131K context fits entire documents without chunking (vs 40K).

  • RAG / high-volume retrieval

    Use Qwen3 235b A22b Fp8. Input tokens are 86% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mistral Medium Latest. Its 131K 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.

SpecMistral Medium LatestQwen3 235b A22b Fp8
Context window131,072 tokens (131K)40,960 tokens (40K)
Max output tokens131,072 tokens (131K)20,000 tokens (20K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesNo
Extended thinkingYesYes
Prompt cachingNoNo
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.

ProviderMistral Medium Latest inMistral Medium Latest outQwen3 235b A22b Fp8 inQwen3 235b A22b Fp8 out
Mistral$1.50/M$7.50/M——
Novita——$0.200/M$0.800/M

Frequently asked questions

Mistral Medium Latest has a larger context window: 131K 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.

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