Llama 3.3 70B vs GPT-4.1 Nano (batch)

List-price comparison ·Llama 3.3 70B details ·GPT-4.1 Nano (batch) details

For a typical workload (100,000 requests / mo), GPT-4.1 Nano (batch) is the cheapest — 56% less than the priciest here ($14.00/mo vs $31.60/mo).

	Llama 3.3 70B	GPT-4.1 Nano (batch)
Input / 1M tokens	$0.130	$0.050
Output / 1M tokens	$0.400	$0.200
Typical request (1,200 in + 400 out)	$0.0003	$0.0001
Context window	131,072 tokens	1,047,576 tokens
Max output	128k tokens	32,768 tokens
Quality score	60/100	62/100
Tier	Flash	Flash
Provider	Meta	OpenAI

Projected monthly cost

Requests / mo	Llama 3.3 70B	GPT-4.1 Nano (batch)
1,000	$0.316	$0.14
10,000	$3.16	$1.40
100,000	$31.60	$14.00

Open all in the calculator — adjust volume and token counts →

Llama 3.3 70B

Mature, well-supported open-weight model for general chat and lightweight agents — wide availability across inference providers keeps pricing competitive.

Falls behind newer flagship models on complex reasoning and coding — best suited to well-scoped, repetitive tasks.

GPT-4.1 Nano (batch)

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More comparisons

Llama 3.3 70B vs DeepSeek R1 →Llama 3.3 70B vs Claude Opus 4.8 →Llama 3.3 70B vs GPT-5.4 →Llama 3.3 70B vs Gemini 3.1 Pro →

Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.