Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Gemma 3n E4B Instruct | Llama 3 Instruct 8B |
|---|---|---|
| Input ($/M tokens) | $0.06 | $0.04 |
| Output ($/M tokens) | $0.12 | $0.14 |
Verdict. Gemma 3n E4B Instruct wins the overall benchmark matchup 1–0 across 1 overlapping categories, but raw benchmark score is only one input to the decision.
Pricing. Both models sit in the budget bracket for output-token pricing. At 0.9× the per-million-token cost, Gemma 3n E4B Instruct is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Gemma 3n E4B Instruct makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Gemma 3n E4B Instruct is strongest on Coding Index (3.2), Intelligence Index (1.0). Llama 3 Instruct 8B leads on Intelligence Index (1.0).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Google and Meta sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while Meta often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Gemma 3n E4B Instruct costs $3.60 ($43/year); Llama 3 Instruct 8B costs $3.30 ($40/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemma 3n E4B Instruct ≈ $0.54/run, Llama 3 Instruct 8B ≈ $0.48/run. At agent/realtime scale (200M input / 100M output per million requests): Gemma 3n E4B Instruct ≈ $24/run, Llama 3 Instruct 8B ≈ $22/run. Llama 3 Instruct 8B becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Data from Artificial Analysis API — 12 benchmarks
Llama 3 Instruct 8B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.07/M tokens vs $0.07/M for Gemma 3n E4B Instruct.
Gemma 3n E4B Instruct wins 1 out of 12 benchmarks compared to 0 for Llama 3 Instruct 8B. See the detailed benchmark chart above for per-category results.
Gemma 3n E4B Instruct generates tokens faster at 55 tok/s vs — tok/s. Gemma 3n E4B Instruct also has lower time-to-first-token (1.50s vs —s).
Choose based on your priorities: Llama 3 Instruct 8B for lower cost, Gemma 3n E4B Instruct for stronger benchmark performance, and Gemma 3n E4B Instruct for faster generation. For latency-sensitive apps, check the TTFT comparison above.