Context Window

Compare

GLM 4.7 vs Mistral Large Latest

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.

Z Ai

Model

GLM 4.7

Image inputTool calling

Context window

203K

202,752 tokens · ~152K words

Model page
Mistral

Model

Mistral Large Latest

Tool calling

Context window

32K

32,000 tokens · ~24K 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.

GLM 4.7203K
Mistral Large Latest32K

GLM 4.7 has about 6.3× the context window of the other in this pair.

Token calculator →Memory savings →

GLM 4.7 has 533% more context capacity (202K vs 32K tokens). Mistral Large Latest is 16% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GLM 4.7. Its 202K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Mistral Large Latest. Input tokens are 16% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecGLM 4.7Mistral Large Latest
Context window202,752 tokens (202K)32,000 tokens (32K)
Max output tokens64,000 tokens (64K)N/A
Speed tierBalancedDeep
VisionYesNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateDec 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.

ProviderGLM 4.7 inGLM 4.7 outMistral Large Latest inMistral Large Latest out
Azure——$8.00/M$24.00/M
Baseten$0.600/M$2.20/M——
Google Vertex——$2.00/M$6.00/M
Mistral——$0.500/M$1.50/M
Novita$0.600/M$2.20/M——
Openrouter$0.400/M$1.50/M——
Together Ai$0.450/M$2.00/M——
Z Ai$0.600/M$2.20/M——

Frequently asked questions

GLM 4.7 has a larger context window: 202K 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.

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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.

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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