Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Sarvam 30B (high) | Gemma 4 E4B (Non-reasoning) |
|---|---|---|
| Input ($/M tokens) | $0.03 | $0.02 |
| Output ($/M tokens) | $0.11 | $0.1 |
Verdict. Gemma 4 E4B (Non-reasoning) takes the aggregate benchmark matchup 1–0 across 1 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.
Pricing. Both models sit in the budget bracket for output-token pricing. At 1.1× the per-million-token cost, Gemma 4 E4B (Non-reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Gemma 4 E4B (Non-reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Sarvam 30B (high) is strongest on Intelligence Index (6.4). Gemma 4 E4B (Non-reasoning) leads on Intelligence Index (8.7).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Sarvam and Google sell to overlapping but distinct developer audiences: Sarvam 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): Sarvam 30B (high) costs $2.55 ($31/year); Gemma 4 E4B (Non-reasoning) costs $2.10 ($25/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Sarvam 30B (high) ≈ $0.37/run, Gemma 4 E4B (Non-reasoning) ≈ $0.30/run. At agent/realtime scale (200M input / 100M output per million requests): Sarvam 30B (high) ≈ $17/run, Gemma 4 E4B (Non-reasoning) ≈ $14/run. Gemma 4 E4B (Non-reasoning) 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
Gemma 4 E4B (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.04/M tokens vs $0.05/M for Sarvam 30B (high).
Gemma 4 E4B (Non-reasoning) wins 1 out of 12 benchmarks compared to 0 for Sarvam 30B (high). See the detailed benchmark chart above for per-category results.
Gemma 4 E4B (Non-reasoning) generates tokens faster at 56 tok/s vs — tok/s. However, Gemma 4 E4B (Non-reasoning) has lower time-to-first-token (0.70s vs —s).
Choose based on your priorities: Gemma 4 E4B (Non-reasoning) for lower cost, Gemma 4 E4B (Non-reasoning) for stronger benchmark performance, and Gemma 4 E4B (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.