Which is cheaper for input tokens: OpenAI: GPT-4.1 Nano or ByteDance: UI-TARS 7B ?
OpenAI: GPT-4.1 Nano is cheaper or equal on input token cost by $0.00 per 1M tokens.
Head-to-Head Pricing Benchmark
Side-by-side pricing and context window comparison for production model selection.
Default Recommendation (120M input + 60M output)
ByteDance: UI-TARS 7B is lower-cost for the default monthly workload scenario.
Adjust the workload in the calculator below to see a live recommendation for your usage.
| Metric | OpenAI: GPT-4.1 Nano | ByteDance: UI-TARS 7B |
|---|---|---|
| Developer | openai | bytedance |
| Context Window | 1,047,576 | 128,000 |
| Input Cost / 1M Tokens | $0.1000 | $0.1000 |
| Output Cost / 1M Tokens | $0.4000 | $0.2000 |
| Projected Monthly Cost | $36 | $24 |
| Vision | ✅ Yes | ✅ Yes |
| Tool Calling | ✅ Yes | ❌ No |
| Structured Output | ✅ Yes | ❌ No |
| Reasoning | ❌ No | ❌ No |
| MMLU Score | 65.7 | N/A |
| GPQA | 51.2 | N/A |
Price History
Current Input / 1M
$0.1000
Current Output / 1M
$0.4000
Price History
Current Input / 1M
$0.1000
Current Output / 1M
$0.2000
Adjust your workload to see projected monthly costs.
OpenAI: GPT-4.1 Nano
$36
per month
ByteDance: UI-TARS 7B
$24
per month
Lower costLive Recommendation
ByteDance: UI-TARS 7B is lower-cost at 120M input + 60M output tokens/month.
Continue evaluation with more “A vs B pricing” decision pages.
Quick Compare
Select two models to see a head-to-head pricing breakdown.
Common questions for OpenAI: GPT-4.1 Nano vs ByteDance: UI-TARS 7B pricing decisions.
OpenAI: GPT-4.1 Nano is cheaper or equal on input token cost by $0.00 per 1M tokens.
ByteDance: UI-TARS 7B is cheaper on output token cost by $0.20 per 1M tokens.
$12 difference for the default scenario (120M input + 60M output tokens/month).
Use this page to compare context window and token pricing, then open each model page to evaluate additional alternatives and monthly workload fit.