Context Window

Compare

Mistral Mixtral 8x7b Instruct 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.

Mistral

Model

Mistral Mixtral 8x7b Instruct

Context window

32K

32,000 tokens · ~24K 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.

Mistral Mixtral 8x7b Instruct32K
Qwen3 Coder 480b A35b Instruct Fp8256K

Qwen3 Coder 480b A35b Instruct Fp8 has about 8× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3 Coder 480b A35b Instruct Fp8 has 700% more context capacity (256K vs 32K tokens). Mistral Mixtral 8x7b Instruct is 70% 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 32K).

  • RAG / high-volume retrieval

    Use Mistral Mixtral 8x7b Instruct. Input tokens are 70% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecMistral Mixtral 8x7b InstructQwen3 Coder 480b A35b Instruct Fp8
Context window32,000 tokens (32K)256,000 tokens (256K)
Max output tokens8,191 tokens (8K)N/A
Speed tierFastBalanced
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
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 Mixtral 8x7b Instruct inMistral Mixtral 8x7b Instruct outQwen3 Coder 480b A35b Instruct Fp8 inQwen3 Coder 480b A35b Instruct Fp8 out
Aws Bedrock$0.590/M$0.910/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 32K. 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