Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Nova 2.0 Pro Preview (Non-reasoning) | Gemini 2.5 Pro Preview (May' 25) |
|---|---|---|
| Input ($/M tokens) | $1.25 | $1.25 |
| Output ($/M tokens) | $10 | $10 |
Verdict. Nova 2.0 Pro Preview (Non-reasoning) and Gemini 2.5 Pro Preview (May' 25) split the benchmark comparison evenly at 1–1. The tiebreaker here is price, speed, and what you actually run them on.
Pricing. Both models sit in the mid-tier bracket for output-token pricing. At 1.0× the per-million-token cost, Gemini 2.5 Pro Preview (May' 25) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Gemini 2.5 Pro Preview (May' 25) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Nova 2.0 Pro Preview (Non-reasoning) is strongest on Coding Index (20.9), Intelligence Index (14.4). Gemini 2.5 Pro Preview (May' 25) leads on Intelligence Index (22.7).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Amazon and Google sell to overlapping but distinct developer audiences: Amazon 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): Nova 2.0 Pro Preview (Non-reasoning) costs $187.50 ($2250/year); Gemini 2.5 Pro Preview (May' 25) costs $187.50 ($2250/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Nova 2.0 Pro Preview (Non-reasoning) ≈ $26.25/run, Gemini 2.5 Pro Preview (May' 25) ≈ $26.25/run. At agent/realtime scale (200M input / 100M output per million requests): Nova 2.0 Pro Preview (Non-reasoning) ≈ $1250/run, Gemini 2.5 Pro Preview (May' 25) ≈ $1250/run.
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
Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.
It's a tie — both models win 1 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.
Nova 2.0 Pro Preview (Non-reasoning) generates tokens faster at 104 tok/s vs — tok/s. Nova 2.0 Pro Preview (Non-reasoning) also has lower time-to-first-token (1.04s vs —s).
Choose based on your priorities: both are similarly priced, both perform similarly on benchmarks, and Nova 2.0 Pro Preview (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.