Text model
Qwen/Qwen2-VL-72B-Instruct pricing
Together AI charges $1.20 per million input tokens and $1.20 per million output tokens for Qwen/Qwen2-VL-72B-Instruct. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $1.20/ 1M
- Output
- $1.20/ 1M
- Context
- 32.8Ktokens
Retired 2025-08-28. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $1.20 | $1.20 | — | — |
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 | $0.00228 | 100,000 | $228.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.0078 | 100,000 | $780.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.02 | 250,000 | $3,840.00 |
| 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 Qwen/Qwen2-VL-72B-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/moonshotai/Kimi-K2.5-fp4 | $0.00187 | 18% |
| together/zai-org/GLM-4.6 | $0.00178 | 22% |
| deepinfra/NousResearch/Hermes-3-Llama-3.1-405B | $0.0019 | 17% |
| fireworks/accounts/fireworks/models/kimi-k2-instruct | $0.0019 | 17% |
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.