Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Granite 4.1 8B | Gemma 3n E4B Instruct |
|---|---|---|
| Input ($/M tokens) | $0.05 | $0.06 |
| Output ($/M tokens) | $0.1 | $0.12 |
Verdict. Granite 4.1 8B wins the overall benchmark matchup 2–0 across 2 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 0.8× the per-million-token cost, Granite 4.1 8B is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Granite 4.1 8B makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Granite 4.1 8B is strongest on Coding Index (9.5), Intelligence Index (6.4). Gemma 3n E4B Instruct leads on Coding Index (3.2), Intelligence Index (1.0).
Speed. On throughput, Granite 4.1 8B generates tokens at 117 tok/s versus 55 tok/s — about 53% faster. On time-to-first-token, Granite 4.1 8B responds in 750ms vs 1500ms, which matters most for chat-style UIs.
Provider. IBM and Google sell to overlapping but distinct developer audiences: IBM tends to ship frontier reasoning models with premium positioning, while Google 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): Granite 4.1 8B costs $3.00 ($36/year); Gemma 3n E4B Instruct costs $3.60 ($43/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Granite 4.1 8B ≈ $0.45/run, Gemma 3n E4B Instruct ≈ $0.54/run. At agent/realtime scale (200M input / 100M output per million requests): Granite 4.1 8B ≈ $20/run, Gemma 3n E4B Instruct ≈ $24/run. Granite 4.1 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.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Granite 4.1 8B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.06/M tokens vs $0.07/M for Gemma 3n E4B Instruct.
Granite 4.1 8B wins 2 out of 12 benchmarks compared to 0 for Gemma 3n E4B Instruct. See the detailed benchmark chart above for per-category results.
Granite 4.1 8B generates tokens faster at 117 tok/s vs 55 tok/s. Granite 4.1 8B also has lower time-to-first-token (0.75s vs 1.50s).
Choose based on your priorities: Granite 4.1 8B for lower cost, Granite 4.1 8B for stronger benchmark performance, and Granite 4.1 8B for faster generation. For latency-sensitive apps, check the TTFT comparison above.