Context Window

Compare

GLM Latest vs Seed 2.1 Turbo

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 Latest

Tool calling

Context window

1.3M

1,310,720 tokens · ~983K words

Model page
Bytedance

Model

Seed 2.1 Turbo

Image inputTool calling

Context window

262K

262,144 tokens · ~197K 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 Latest1.3M
Seed 2.1 Turbo262K

GLM Latest has about 5× the context window of the other in this pair.

Token calculator →Memory savings →

GLM Latest has 400% more context capacity (1310K vs 262K tokens). Seed 2.1 Turbo is 40% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GLM Latest. Its 1310K context fits entire documents without chunking (vs 262K).

  • RAG / high-volume retrieval

    Use Seed 2.1 Turbo. Input tokens are 40% 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 LatestSeed 2.1 Turbo
Context window1,310,720 tokens (1310K)262,144 tokens (262K)
Max output tokens235,929 tokens (235K)235,929 tokens (235K)
Speed tierBalancedBalanced
VisionNoYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesNo
Batch APINoNo
Release dateAug 2026Aug 2026

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 Latest inGLM Latest outSeed 2.1 Turbo inSeed 2.1 Turbo out
Openrouter$0.844/M$2.65/M$0.500/M$2.50/M

Frequently asked questions

GLM Latest has a larger context window: 1310K tokens vs 262K. 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