AI Models · Open-Source vs Paid

Llama 4 Maverick Open vs GPT-3.5 Turbo Paid

Llama 4 Maverick vs GPT-3.5 Turbo compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

GPT-3.5 Turbo — full profile ›

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Llama 4 MaverickOpenMeta

$0.2 /M input
$0.7 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window1M tokens

MultimodalYes

Self-hostYes

GPT-3.5 TurboPaidOpenAI

$0.5 /M input
$1.5 /M outputManaged API (no infra to run)

TypeProprietary

Context window16K tokens

MultimodalNo

Self-hostNo

Choose Llama 4 Maverick if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-3.5 Turbo if you want frontier capability through a managed API with zero infrastructure to run.

Llama 4 Maverick vs GPT-3.5 Turbo specs

Spec	Llama 4 Maverick	GPT-3.5 Turbo	Winner
Maker	Meta	OpenAI	–
Type	Open-weight	Proprietary	Llama 4 Maverick
Context window	1M tokens	16K tokens	Llama 4 Maverick
Input price	$0.2/M · free self-host	$0.5/M	Llama 4 Maverick
Output price	$0.7/M · free self-host	$1.5/M	Llama 4 Maverick
Vision / multimodal	Yes	No	Llama 4 Maverick
Tool / function calling	Yes	Yes	= Tie
Self-hostable	Yes	No (API only)	Llama 4 Maverick
License	Llama Community	Proprietary	Llama 4 Maverick

Price gap & when to choose each

2.1×cheaper per output token

Llama 4 Maverick is ~2.1× cheaper than GPT-3.5 Turbo on output tokens ($0.7 vs $1.5 per M tokens).

Choose Llama 4 Maverick if…

You want to self-host or run on your cloud
You need the longer 1M context window
You prioritize data privacy & control
You want the lowest operating costs
You are building open or reproducible AI

Choose GPT-3.5 Turbo if…

You want frontier performance through a managed API
You value reliability & ecosystem
You don't want to manage infrastructure

Feature comparison

Capability	Llama 4 Maverick	GPT-3.5 Turbo
Open weights (downloadable)	✓	✗
Self-hostable	✓	✗
Runs fully offline	✓	✗
Vision / multimodal	✓	✗
Tool / function calling	✓	✓
1M+ context window	✓	✗

Benchmarks: Llama 4 Maverick vs GPT-3.5 Turbo

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Llama 4 Maverick delivers 3× more intelligence per dollar.

Llama 4 Maverick

GPT-3.5 Turbo

Intelligence index

9.3

5.5

Coding index

16.3

10.7

Math index

19.3

–

GPQA

67.1%

29.7%

MMLU-Pro

80.9%

46.2%

Humanity's Last Exam

4.9%

–

Long Context Reasoning

50%

–

LiveCodeBench

39.7%

–

SciCode

31.7%

–

MATH-500

88.9%

44.1%

AIME

39%

–

AIME 2025

19.3%

–

IFBench

43%

–

τ²-Bench

17.8%

–

τ-Bench Banking

3.7%

–

Terminal-Bench

7.9%

–

Terminal-Bench Hard

6.8%

–

Speed

96.3 tok/s

0 tok/s

Latency

0.57s

Intelligence per $

7.3

Benchmark data by Artificial Analysis.

How Llama 4 Maverick and GPT-3.5 Turbo score

🏆 Best value & openness: Llama 4 Maverick (5.0 vs 2.5 / 5)

Criterion	Llama 4 Maverick	GPT-3.5 Turbo
Cost-efficiency	5.0	4.5
Context window	5.0	2.0
Openness	5.0	1.5
Self-hosting	5.0	1.0
Multimodality	5.0	3.5

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Llama 4 Maverick Open

Meta · Open-weight

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

GPT-3.5 Turbo Paid

OpenAI · Proprietary

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked

R1 Distill Llama 70BLlama 3.3 70B InstructLlama 3.1 8B InstructLlama 3.1 70B InstructLlama 4 ScoutHermes 3 70B InstructLlama 3.2 3B InstructLlama 3.2 1B InstructAion-RP 1.0 (8B)Hermes 3 405B InstructLlama 3.1 Euryale 70B v2.2Llama 3.3 Euryale 70BLlama Guard 4 12BLlama 3 8B Lunaris

Frequently asked questions

Is Llama 4 Maverick as good as GPT-3.5 Turbo?

Llama 4 Maverick is open-weight and competitive on many tasks, but GPT-3.5 Turbo may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Llama 4 Maverick locally?

Yes. Llama 4 Maverick has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-3.5 Turbo is API-only and cannot be self-hosted.

How much cheaper is Llama 4 Maverick?

Llama 4 Maverick costs $0.7/M output vs $1.5/M for GPT-3.5 Turbo — roughly 2x cheaper via API, and free if you self-host.

Llama 4 Maverick vs GPT-3.5 Turbo — which should I pick in 2026?

Choose Llama 4 Maverick if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-3.5 Turbo if you want frontier capability through a managed API with zero infrastructure to run.

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