Llama 3.1 8B vs Llama 4 Scout (Meta)
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Meta
|
by Meta
3 providers:
Groq $0.110/$0.340
Meta $0.110/$0.340
DeepInfra $0.100/$0.300
|
|---|---|---|
| Overview | ||
| Status | Current open weights Open weights | Current open weights Open weights |
| Released | Jul 23, 2024 | Apr 6, 2025 |
| Pricing per million tokens | ||
| Input | $0.050/Mtok | $0.110/Mtok |
| Output | $0.080/Mtok | $0.340/Mtok |
| Blended avg | $0.058/Mtok | $0.168/Mtok |
| Specifications | ||
| Context window | 128K tokens | 10M tokens |
| Parameters | 8B | 17B (16 experts) |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
textimage
|
| Benchmarks sources: Vellum LLM Leaderboard (Jun 2026), Kaggle dataset / Vellum LLM Leaderboard | ||
| Avg benchmark score | 34 | 46.8 |
| Perf / dollar | 591.3 | 279.4 |
| GPQA Diamond | 30 | 57.2 |
| SWE-Bench Verified | 12 | 28 |
| Humanity's Last Exam | 5 | 12 |
| ARC-AGI 2 | 6 | 15 |
| AIME 2025 | 20 | 45 |
| MMMLU | 65 | 75 |
| BFCL | 48 | 58 |
| HumanEval | 72 | 80 |
| MATH 500 | 48 | 65 |
| LiveCodeBench | — | 32.8 |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | — | 10.3 |
| AA Agentic Index | — | 1.1 |
| AA-Omniscience Index (−100–100) | — | -52.1 |
| Providers | ||
| Available from |
Meta — $0.050/$0.080/Mtok
|
Groq — $0.110/$0.340/Mtok
Meta — $0.110/$0.340/Mtok
DeepInfra — $0.100/$0.300/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Llama 3.1 8B | Llama 4 Scout | Savings |
|---|---|---|---|
| 1M tokens | $0.06 | $0.17 | $0.11 (65.7%) |
| 10M tokens | $0.58 | $1.68 | $1.1 (65.7%) |
| 100M tokens | $5.75 | $16.75 | $11 (65.7%) |
| 1000M tokens | $57.5 | $167.5 | $110 (65.7%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.058/Mtok blended vs $0.168 — 65.7% less on the same 50/50 token mix
- you need the longer context: 10M tokens vs 128K (78.1×)
- raw capability matters more than price: 46.8 vs 34 average benchmark score
- provider flexibility: available from 3 providers, so you can price-shop hosts or fail over
Summary
Llama 3.1 8B by Meta costs $0.050/Mtok input and $0.080/Mtok output, with a 128K-token context window. It supports text input.
Llama 4 Scout by Meta costs $0.110/Mtok input and $0.340/Mtok output, with a 10M-token context window. It supports text, image input and is available from 3 providers.
On a blended cost basis, Llama 3.1 8B is 65.7% cheaper than Llama 4 Scout.
On benchmarks, Llama 4 Scout scores higher (46.8 vs 34) on average. In terms of value, Llama 3.1 8B has better performance per dollar (591.3 vs 279.4).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.