Text model
meta-llama/Llama-4-Scout-17B-16E-Instruct pricing
Together AI charges $0.18 per million input tokens and $0.59 per million output tokens for meta-llama/Llama-4-Scout-17B-16E-Instruct. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.18/ 1M
- Output
- $0.59/ 1M
- Context
- 1Mtokens
Retired 2026-02-06. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.18 | $0.59 | — | — |
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 | $0.000506 | 100,000 | $50.60 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.00137 | 100,000 | $137.50 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00263 | 250,000 | $658.00 |
| 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 meta-llama/Llama-4-Scout-17B-16E-Instruct, 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 |
|---|---|---|
| together/nvidia/NVIDIA-Nemotron-3.5-Super-VL | $0.000425 | 16% |
| together/zai-org/GLM-5.3-Flash | $0.000425 | 16% |
| databricks/databricks-gemma-3-12b | $0.000425 | 16% |
| databricks/databricks-glm-5-3-flash | $0.000425 | 16% |
Price history
No price changes since Veqen started tracking this model.
Compare
Last verified with price book 2026-10-22. Sources: Together AI pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.