Text model
glm-5p3-flash-us pricing
Fireworks AI charges $0.225 per million input tokens and $0.75 per million output tokens for glm-5p3-flash-us, and $0.045 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.225/ 1M
- Output
- $0.75/ 1M
- Cached input
- $0.045/ 1M
- Context
- 1Mtokens
Retires 2026-11-07. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.225 | $0.75 | $0.045 | — |
| Priority | $0.2812 | $0.9375 | $0.0563 | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.000638 | 100,000 | $63.75 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.00101 | 100,000 | $100.50 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00186 | 250,000 | $465.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | — | 1,000,000 | — |
Planning a mix of models? Simulate a workload with glm-5p3-flash-us, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| fireworks/accounts/fireworks/models/llama4-scout-instruct-basic | $0.000465 | 27% |
| fireworks/accounts/fireworks/models/minimax-m3p1-flash | $0.000465 | 27% |
| deepinfra/Qwen/Qwen2.5-VL-32B-Instruct | $0.00054 | 15% |
| deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B | $0.00054 | 15% |
Price history
No price changes since Veqen started tracking this model.
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Last verified with price book 2026-10-22. Sources: Fireworks AI pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.