Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Agnes 2.5 Pro Beta | Gemma 4 12B (Non-reasoning) |
|---|---|---|
| Input ($/M tokens) | $0.1 | $0.1 |
| Output ($/M tokens) | $0.3 | $0.3 |
Verdict. Agnes 2.5 Pro Beta 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, Gemma 4 12B (Non-reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Gemma 4 12B (Non-reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Agnes 2.5 Pro Beta is strongest on Coding Index (62.3), Intelligence Index (49.1). Gemma 4 12B (Non-reasoning) leads on Intelligence Index (13.2).
Speed. On throughput, Agnes 2.5 Pro Beta generates tokens at 168 tok/s versus 108 tok/s — about 36% faster. On time-to-first-token, Agnes 2.5 Pro Beta responds in 2000ms vs 2380ms, which matters most for chat-style UIs.
Provider. Sapiens AI and Google sell to overlapping but distinct developer audiences: Sapiens AI 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): Agnes 2.5 Pro Beta costs $7.50 ($90/year); Gemma 4 12B (Non-reasoning) costs $7.50 ($90/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Agnes 2.5 Pro Beta ≈ $1.10/run, Gemma 4 12B (Non-reasoning) ≈ $1.10/run. At agent/realtime scale (200M input / 100M output per million requests): Agnes 2.5 Pro Beta ≈ $50/run, Gemma 4 12B (Non-reasoning) ≈ $50/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.
Agnes 2.5 Pro Beta wins 2 out of 12 benchmarks compared to 0 for Gemma 4 12B (Non-reasoning). See the detailed benchmark chart above for per-category results.
Agnes 2.5 Pro Beta generates tokens faster at 168 tok/s vs 108 tok/s. Agnes 2.5 Pro Beta also has lower time-to-first-token (2.00s vs 2.38s).
Choose based on your priorities: both are similarly priced, Agnes 2.5 Pro Beta for stronger benchmark performance, and Agnes 2.5 Pro Beta for faster generation. For latency-sensitive apps, check the TTFT comparison above.