Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Gemma 4 26B A4B (Reasoning) | Nemotron 3 Nano Omni 30B A3B Reasoning |
|---|---|---|
| Input ($/M tokens) | $0.12 | $0.09 |
| Output ($/M tokens) | $0.37 | $0.36 |
Verdict. Gemma 4 26B A4B (Reasoning) 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 1.0× the per-million-token cost, Nemotron 3 Nano Omni 30B A3B Reasoning is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Nemotron 3 Nano Omni 30B A3B Reasoning makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Gemma 4 26B A4B (Reasoning) is strongest on Coding Index (39.3), Intelligence Index (16.7). Nemotron 3 Nano Omni 30B A3B Reasoning leads on Coding Index (13.8), Intelligence Index (10.3).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Google and NVIDIA sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while NVIDIA 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 4 26B A4B (Reasoning) costs $9.15 ($110/year); Nemotron 3 Nano Omni 30B A3B Reasoning costs $8.10 ($97/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemma 4 26B A4B (Reasoning) ≈ $1.34/run, Nemotron 3 Nano Omni 30B A3B Reasoning ≈ $1.17/run. At agent/realtime scale (200M input / 100M output per million requests): Gemma 4 26B A4B (Reasoning) ≈ $61/run, Nemotron 3 Nano Omni 30B A3B Reasoning ≈ $54/run. Nemotron 3 Nano Omni 30B A3B 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
Nemotron 3 Nano Omni 30B A3B Reasoning is cheaper overall. Its blended price (3:1 input/output ratio) is $0.16/M tokens vs $0.18/M for Gemma 4 26B A4B (Reasoning).
Gemma 4 26B A4B (Reasoning) wins 2 out of 12 benchmarks compared to 0 for Nemotron 3 Nano Omni 30B A3B Reasoning. See the detailed benchmark chart above for per-category results.
Both models have comparable generation speeds.
Choose based on your priorities: Nemotron 3 Nano Omni 30B A3B Reasoning for lower cost, Gemma 4 26B A4B (Reasoning) for stronger benchmark performance, and both have comparable speed. For latency-sensitive apps, check the TTFT comparison above.