AI Models · Open-Source vs Paid

Llama 3.1 8B Instruct Open vs Claude Opus 4.8 Paid

Llama 3.1 8B Instruct vs Claude Opus 4.8 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 Claude Opus 4.8 if you want frontier capability through a managed API with zero infrastructure to run.

Llama 3.1 8B Instruct vs Claude Opus 4.8 specs

SpecLlama 3.1 8B InstructClaude Opus 4.8
MakerMetaAnthropic
TypeOpen-weightProprietary
Context window131K tokens1M tokens
Input price$0.05/M · free self-host$5/M
Output price$0.08/M · free self-host$25/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseLlama CommunityProprietary

Feature comparison

CapabilityLlama 3.1 8B InstructClaude Opus 4.8
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Llama 3.1 8B Instruct vs Claude Opus 4.8

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

Llama 3.1 8B Instruct
Claude Opus 4.8
Intelligence index
55.7
Coding index
74.3
GPQA
92%
Humanity's Last Exam
45.7%
Long Context Reasoning
67.7%
SciCode
53.5%
IFBench
62.2%
τ²-Bench
94.4%
τ-Bench Banking
27.6%
Terminal-Bench
84.6%
Terminal-Bench Hard
58.3%
Speed
62.5 tok/s
Latency
28.57s
Intelligence per $
5.6

Benchmark data by Artificial Analysis.

How Llama 3.1 8B Instruct and Claude Opus 4.8 score

🏆 Best value & openness: Llama 3.1 8B Instruct (4.4 vs 3.1 / 5)
CriterionLlama 3.1 8B InstructClaude Opus 4.8
Cost-efficiency5.03.0
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...

Claude Opus 4.8 Paid

Anthropic · Proprietary

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

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
Claude Opus 4.7Claude Opus 4.6

Frequently asked questions

Is Llama 3.1 8B Instruct as good as Claude Opus 4.8?

Llama 3.1 8B Instruct is open-weight and competitive on many tasks, but Claude Opus 4.8 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. Claude Opus 4.8 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 $25/M for Claude Opus 4.8 — roughly 313x cheaper via API, and free if you self-host.

Llama 3.1 8B Instruct vs Claude Opus 4.8 — 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 Claude Opus 4.8 if you want frontier capability through a managed API with zero infrastructure to run.

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