Which is cheaper for input tokens: Qwen: Qwen3.5 397B A17B or Meta: Llama 3.1 70B Instruct?
Qwen: Qwen3.5 397B A17B is cheaper or equal on input token cost by $0.01 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)
Meta: Llama 3.1 70B Instruct 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 | Qwen: Qwen3.5 397B A17B | Meta: Llama 3.1 70B Instruct |
|---|---|---|
| Developer | qwen | meta-llama |
| Context Window | 262,144 | 131,072 |
| Input Cost / 1M Tokens | $0.3900 | $0.4000 |
| Output Cost / 1M Tokens | $2.34 | $0.4000 |
| Projected Monthly Cost | $187 | $72 |
| Vision | ✅ Yes | ❌ No |
| Tool Calling | ✅ Yes | ✅ Yes |
| Structured Output | ✅ Yes | ✅ Yes |
| Reasoning | ✅ Yes | ❌ No |
| MMLU Score | N/A | N/A |
Price History
Current Input / 1M
$0.3900
Current Output / 1M
$2.34
Price History
Current Input / 1M
$0.4000
Current Output / 1M
$0.4000
Adjust your workload to see projected monthly costs.
Qwen: Qwen3.5 397B A17B
$187
per month
Meta: Llama 3.1 70B Instruct
$72
per month
Lower costLive Recommendation
Meta: Llama 3.1 70B Instruct 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 Qwen: Qwen3.5 397B A17B vs Meta: Llama 3.1 70B Instruct pricing decisions.
Qwen: Qwen3.5 397B A17B is cheaper or equal on input token cost by $0.01 per 1M tokens.
Meta: Llama 3.1 70B Instruct is cheaper on output token cost by $1.94 per 1M tokens.
$115 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.