Directory · Model comparison

GPT-4.1 mini vs Llama 3.1 70B Instruct

Side-by-side API economics and benchmarks. Per-1M input and output rates, context window, and verified metrics.

GPT-4.1 mini profile → Llama 3.1 70B Instruct profile →

Tale of the tape

Head-to-head specs pulled from each model profile.

Metric	GPT-4.1 mini	Llama 3.1 70B Instruct
Input cost / 1M	$0.40	$0.40
Output cost / 1M	$1.60	$0.40
Context window	1,047,576 tokens	128,000 tokens
MMLU score	—	83.6%

Cost verdict

Enter monthly input and output volumes to see total cost savings.

Monthly input tokens, in millions Monthly output tokens, in millions

GPT-4.1 mini

Input: 1M × $0.40 = $0.40; Output: 1M × $1.60 = $1.60
Total: $2.00

Llama 3.1 70B Instruct

Input: 1M × $0.40 = $0.40; Output: 1M × $0.40 = $0.40
Total: $0.80

Total cost savings

$1.20

Llama 3.1 70B Instruct saves $1.20 per month vs the other model at this volume.

Model routing savings

Uses this page's verified rates. GPT-4.1 mini is the premium route (higher combined per-1M cost); Llama 3.1 70B Instruct handles routine traffic.

Premium model

GPT-4.1 mini

$0.40 in · $1.60 out / 1M

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Economical model

Llama 3.1 70B Instruct

$0.40 in · $0.40 out / 1M

View profile →

Monthly input tokens (millions) Monthly output tokens (millions)

All premium

GPT-4.1 mini

$100.00

100% of input and output on the premium route

Routed stack

80% → Llama 3.1 70B Instruct

20% → GPT-4.1 mini

$52.00

Routine slice: $32.00
Premium slice: $20.00

Monthly savings

$48.00

48% lower

Rates pulled from this page's model database entries (gpt-4-1-mini, llama-3-1-70b-instruct) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.

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