AI Models · Open-Source vs Paid

Llama 4 Maverick Open vs Gemini 3.1 Pro Preview Paid

Llama 4 Maverick vs Gemini 3.1 Pro Preview compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Gemini 3.1 Pro Preview — 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
$0.19 /M input
$0.65 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window524K tokens
MultimodalYes
Self-hostYes
Gemini 3.1 Pro PreviewPaidGoogle
$2 /M input
$12 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
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 Gemini 3.1 Pro Preview if you want frontier capability through a managed API with zero infrastructure to run.

Llama 4 Maverick vs Gemini 3.1 Pro Preview specs

SpecLlama 4 MaverickGemini 3.1 Pro PreviewWinner
MakerMetaGoogle–
TypeOpen-weightProprietaryLlama 4 Maverick
Context window524K tokens1M tokensGemini 3.1 Pro Preview
Input price$0.19/M · free self-host$2/MLlama 4 Maverick
Output price$0.65/M · free self-host$12/MLlama 4 Maverick
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)Llama 4 Maverick
LicenseLlama CommunityProprietaryLlama 4 Maverick

Price gap & when to choose each

18×cheaper per output token

Llama 4 Maverick is ~18× cheaper than Gemini 3.1 Pro Preview on output tokens ($0.65 vs $12 per M tokens).

Choose Llama 4 Maverick if…
  • You want to self-host or run on your cloud
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Gemini 3.1 Pro Preview if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityLlama 4 MaverickGemini 3.1 Pro Preview
Open weights (downloadable)✓✗
Self-hostable✓✗
Runs fully offline✓✗
Vision / multimodal✓✓
Tool / function calling✓✓
1M+ context window✗✓

Benchmarks: Llama 4 Maverick vs Gemini 3.1 Pro Preview

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

Llama 4 Maverick delivers 3.4× more intelligence per dollar.
Llama 4 Maverick
Gemini 3.1 Pro Preview
Intelligence index
9.3
29.7
Coding index
16.3
68.8
Math index
19.3
–
GPQA
67.1%
94.1%
MMLU-Pro
80.9%
–
Humanity's Last Exam
4.9%
47%
Long Context Reasoning
50%
82%
LiveCodeBench
39.7%
–
SciCode
31.7%
58.7%
MATH-500
88.9%
–
AIME
39%
–
AIME 2025
19.3%
–
IFBench
43%
77.1%
τ²-Bench
17.8%
95.6%
τ-Bench Banking
3.7%
21.4%
Terminal-Bench
7.9%
73.8%
Terminal-Bench Hard
6.8%
53.8%
Speed
52.2 tok/s
135.7 tok/s
Latency
0.56s
16.61s
Intelligence per $
22.3
6.6

Benchmark data by Artificial Analysis.

How Llama 4 Maverick and Gemini 3.1 Pro Preview score

🏆 Best value & openness: Llama 4 Maverick (4.9 vs 3.2 / 5)
CriterionLlama 4 MaverickGemini 3.1 Pro Preview
Cost-efficiency5.03.5
Context window4.55.0
Openness5.01.5
Self-hosting5.01.0
Multimodality5.05.0

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...

Gemini 3.1 Pro Preview Paid

Google · Proprietary

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation.

Other models in these families

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

Other variants tracked
Llama 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 Guard 4 12BLlama 3 8B Lunaris
Other variants tracked
Gemini 3.1 Pro Preview (batch)Gemini 2.5 ProNano Banana Pro (Gemini 3 Pro Image)Gemini 3.1 Pro Preview Custom Tools

Frequently asked questions

Is Llama 4 Maverick as good as Gemini 3.1 Pro Preview?

Llama 4 Maverick is open-weight and competitive on many tasks, but Gemini 3.1 Pro Preview 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. Gemini 3.1 Pro Preview is API-only and cannot be self-hosted.

How much cheaper is Llama 4 Maverick?

Llama 4 Maverick costs $0.65/M output vs $12/M for Gemini 3.1 Pro Preview — roughly 18x cheaper via API, and free if you self-host.

Llama 4 Maverick vs Gemini 3.1 Pro Preview — 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 Gemini 3.1 Pro Preview if you want frontier capability through a managed API with zero infrastructure to run.

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