Text model
muse-glimmer-30b pricing
Fireworks AI charges $0.35 per million input tokens and $1.50 per million output tokens for muse-glimmer-30b, and $0.04 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.35/ 1M
- Output
- $1.50/ 1M
- Cached input
- $0.04/ 1M
- Context
- 131.1Ktokens
Retired 2026-09-25. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.35 | $1.50 | $0.04 | — |
| Priority | $0.525 | $2.25 | $0.06 | — |
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 | $0.00112 | 100,000 | $112.50 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.00161 | 100,000 | $161.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00292 | 250,000 | $730.00 |
| 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 muse-glimmer-30b, 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/deepseek-coder-v2-lite-base | $0.00095 | 16% |
| fireworks/accounts/fireworks/models/deepseek-coder-v2-lite-instruct | $0.00095 | 16% |
| baseten/deepseek-ai/DeepSeek-V4.1-Flash | $0.00093 | 17% |
| baseten/deepseek-ai/DeepSeek-V4.1-Flash-1017 | $0.00093 | 17% |
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.