AI Models · Open-Source vs Paid

Llama 3.1 8B Instruct Open vs Gemini 3.1 Pro Preview Paid

Llama 3.1 8B Instruct 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.

Prices & specs refreshed from live data · OpenSourceAI.tech

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

Choose Llama 3.1 8B Instruct 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 3.1 8B Instruct vs Gemini 3.1 Pro Preview specs

SpecLlama 3.1 8B InstructGemini 3.1 Pro Preview
MakerMetaGoogle
TypeOpen-weightProprietary
Context window131K tokens1M tokens
Input price$0.05/M · free self-host$2/M
Output price$0.08/M · free self-host$12/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseLlama CommunityProprietary

Feature comparison

CapabilityLlama 3.1 8B InstructGemini 3.1 Pro Preview
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Llama 3.1 8B Instruct vs Gemini 3.1 Pro Preview

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

Llama 3.1 8B Instruct
Gemini 3.1 Pro Preview
Intelligence index
46.5
Coding index
68.8
GPQA
94.1%
Humanity's Last Exam
44.7%
Long Context Reasoning
72.7%
SciCode
58.9%
IFBench
77.1%
τ²-Bench
95.6%
τ-Bench Banking
16.5%
Terminal-Bench
73.8%
Terminal-Bench Hard
53.8%
Speed
137.1 tok/s
Latency
23.58s
Intelligence per $
10.3

Benchmark data by Artificial Analysis.

How Llama 3.1 8B Instruct and Gemini 3.1 Pro Preview score

🏆 Best value & openness: Llama 3.1 8B Instruct (4.4 vs 3.2 / 5)
CriterionLlama 3.1 8B InstructGemini 3.1 Pro Preview
Cost-efficiency5.03.5
Context window3.55.0
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

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 3.1 8B Instruct Open

Meta · Open-weight

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

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 4 MaverickLlama 3.3 70B InstructLlama 4 ScoutLlama 3.1 70B InstructLlama Guard 4 12BLlama 3.2 3B InstructLlama 3.2 1B InstructHermes 3 405B InstructHermes 3 70B InstructR1 Distill Llama 70BAion-RP 1.0 (8B)
Other variants tracked
Gemini 2.5 Pro

Frequently asked questions

Is Llama 3.1 8B Instruct as good as Gemini 3.1 Pro Preview?

Llama 3.1 8B Instruct 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 3.1 8B Instruct locally?

Yes. Llama 3.1 8B Instruct 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 3.1 8B Instruct?

Llama 3.1 8B Instruct costs $0.08/M output vs $12/M for Gemini 3.1 Pro Preview — roughly 150x cheaper via API, and free if you self-host.

Llama 3.1 8B Instruct vs Gemini 3.1 Pro Preview — which should I pick in 2026?

Choose Llama 3.1 8B Instruct 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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