Which is cheaper for input tokens: Meta: Llama 3.1 8B Instruct or Google: Gemma 3n 4B?
Meta: Llama 3.1 8B Instruct 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)
Google: Gemma 3n 4B 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 | Meta: Llama 3.1 8B Instruct | Google: Gemma 3n 4B |
|---|---|---|
| Developer | meta-llama | |
| Context Window | 16,384 | 32,768 |
| Input Cost / 1M Tokens | $0.0200 | $0.0200 |
| Output Cost / 1M Tokens | $0.0500 | $0.0400 |
| Projected Monthly Cost | $5.40 | $4.80 |
| Vision | ❌ No | ❌ No |
| Tool Calling | ✅ Yes | ❌ No |
| Structured Output | ✅ Yes | ❌ No |
| Reasoning | ❌ No | ❌ No |
| MMLU Score | 47.6 | 48.8 |
| GPQA | 25.9 | 29.6 |
Price History
Current Input / 1M
$0.0200
Current Output / 1M
$0.0500
Price History
Current Input / 1M
$0.0200
Current Output / 1M
$0.0400
Adjust your workload to see projected monthly costs.
Meta: Llama 3.1 8B Instruct
$5.40
per month
Google: Gemma 3n 4B
$4.80
per month
Lower costLive Recommendation
Google: Gemma 3n 4B 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 Meta: Llama 3.1 8B Instruct vs Google: Gemma 3n 4B pricing decisions.
Meta: Llama 3.1 8B Instruct is cheaper or equal on input token cost by $0.00 per 1M tokens.
Google: Gemma 3n 4B is cheaper on output token cost by $0.01 per 1M tokens.
$0.60 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.