Which has the larger context window?

GPT-4.1 nano accepts 1.0M tokens and Llama 3.3 70B Instruct 131K tokens.

Models

Specs, pricing, and capabilities for every model on the Respan gateway.

GPT-4.1 nano vs Llama 3.3 70B Instruct

GPT-4.1 nano scores 9.4 on the Respan Index (#135), ahead of Llama 3.3 70B Instruct at 8.6 (#137). GPT-4.1 nano leads on 4 of the 5 benchmarks both report. GPT-4.1 nano has the larger context window (1.0M tokens).

GPT-4.1 nanoOpenAI

Respan Index: 9.4 (#135)
Input / output per 1M: $0.1 / $0.4
Blended price per 1M: $0.175
Context window: 1.0M
Max output: 33K
Input: text, vision
Released: 2025-04-14

Prices and providers on Respan

Llama 3.3 70B InstructMeta

Respan Index: 8.6 (#137)
Input / output per 1M: -
Blended price per 1M: -

Respan Index by category

Coding1.5 GPT-4.1 nano0.9 Llama 3.3 70B Instruct
Agents4.9* GPT-4.1 nano4.1 Llama 3.3 70B Instruct
Reasoning9.5 GPT-4.1 nano

Benchmarks both report

Benchmark	GPT-4.1 nano	Llama 3.3 70B Instruct
GPQA Diamond	50.3%	50.5%
MATH Level 5 (Epoch AI)	70%	41.6%
OTIS Mock AIME 2024-2025 (Epoch AI)	28.9%	5.1%
WeirdML (Håvard Tveit Ihle)	19%	14.4%

FAQ

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GPT-4.1 nano vs Llama 3.3 70B Instruct: benchmarks, price and context | Respan

Models

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Respan Index by category

Benchmarks both report

FAQ

Is GPT-4.1 nano better than Llama 3.3 70B Instruct?

Which has the larger context window?

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