Compare
Glm 5 1 Fp8 vs Qwen3 Coder 30B A3B Instruct
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
Qwen3 Coder 30B A3B Instruct
Context window
160K
160,000 tokens · ~120K 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 1 Fp8 has about 1.3× the context window of the other in this pair.
Glm 5 1 Fp8 has 26% more context capacity (202K vs 160K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Glm 5 1 Fp8. Its 202K context fits entire documents without chunking (vs 160K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Glm 5 1 Fp8 | Qwen3 Coder 30B A3B Instruct |
|---|---|---|
| Context window | 202,752 tokens (202K) | 160,000 tokens (160K) |
| Max output tokens | N/A | 32,768 tokens (32K) |
| Speed tier | Balanced | Fast |
| Vision | No | No |
| Function calling | No | Yes |
| Extended thinking | No | No |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | N/A | Jul 2025 |
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 | Glm 5 1 Fp8 in | Glm 5 1 Fp8 out | Qwen3 Coder 30B A3B Instruct in | Qwen3 Coder 30B A3B Instruct out |
|---|---|---|---|---|
| Gmi | $1.40/M | $4.40/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