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DeepSeek V3.2 vs Glm 5 2 Fast
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.
Model
DeepSeek V3.2
Context window
164K
163,840 tokens · ~123K words
Model
Glm 5 2 Fast
Context window
1.0M
1,048,576 tokens · ~786K words
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 5 2 Fast has about 6.4× the context window of the other in this pair.
Glm 5 2 Fast has 540% more context capacity (1048K vs 163K tokens). DeepSeek V3.2 is 86% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Glm 5 2 Fast. Its 1048K context fits entire documents without chunking (vs 163K).
RAG / high-volume retrieval
Use DeepSeek V3.2. Input tokens are 86% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Glm 5 2 Fast. Its 262K 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.
| Spec | DeepSeek V3.2 | Glm 5 2 Fast |
|---|---|---|
| Context window | 163,840 tokens (163K) | 1,048,576 tokens (1048K) |
| Max output tokens | 163,840 tokens (163K) | 262,144 tokens (262K) |
| Speed tier | Balanced | Balanced |
| Vision | No | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | Yes |
| Batch API | No | No |
| Release date | Dec 2025 | N/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.
| Provider | DeepSeek V3.2 in | DeepSeek V3.2 out | Glm 5 2 Fast in | Glm 5 2 Fast out |
|---|---|---|---|---|
| Aws Bedrock | $0.740/M | $2.22/M | — | — |
| Azure | $0.580/M | $1.68/M | — | — |
| Baseten | — | — | $2.10/M | $6.60/M |
| Deepinfra | $0.260/M | $0.380/M | — | — |
| Deepseek | $0.280/M | $0.400/M | — | — |
| Friendliai | $0.500/M | $1.50/M | — | — |
| Gmi | $0.280/M | $0.400/M | — | — |
| Novita | $0.269/M | $0.400/M | — | — |
| Openrouter | $0.269/M | $0.400/M | — | — |
| Sambanova | $3.00/M | $4.50/M | — | — |
Frequently asked questions
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.
Example: a multi-turn chat session
80% less to send — works with any model