Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | DeepSeek V4 Pro (Non-reasoning) | Agnes 2.5 Pro Alpha |
|---|---|---|
| Input ($/M tokens) | $0.43 | $0.45 |
| Output ($/M tokens) | $0.87 | $0.9 |
Verdict. Agnes 2.5 Pro Alpha takes the aggregate benchmark matchup 2–0 across 2 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 1.0× the per-million-token cost, DeepSeek V4 Pro (Non-reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). DeepSeek V4 Pro (Non-reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. DeepSeek V4 Pro (Non-reasoning) is strongest on Intelligence Index (31.9). Agnes 2.5 Pro Alpha leads on Coding Index (58.8), Intelligence Index (39.7).
Speed. On throughput, Agnes 2.5 Pro Alpha generates tokens at 202 tok/s versus 60 tok/s — about 70% faster. On time-to-first-token, DeepSeek V4 Pro (Non-reasoning) responds in 1530ms vs 2860ms, which matters most for chat-style UIs.
Provider. DeepSeek and Sapiens AI sell to overlapping but distinct developer audiences: DeepSeek tends to ship frontier reasoning models with premium positioning, while Sapiens AI 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): DeepSeek V4 Pro (Non-reasoning) costs $25.95 ($311/year); Agnes 2.5 Pro Alpha costs $27.00 ($324/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): DeepSeek V4 Pro (Non-reasoning) ≈ $3.89/run, Agnes 2.5 Pro Alpha ≈ $4.05/run. At agent/realtime scale (200M input / 100M output per million requests): DeepSeek V4 Pro (Non-reasoning) ≈ $173/run, Agnes 2.5 Pro Alpha ≈ $180/run. DeepSeek V4 Pro (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.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
DeepSeek V4 Pro (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.54/M tokens vs $0.56/M for Agnes 2.5 Pro Alpha.
Agnes 2.5 Pro Alpha wins 2 out of 12 benchmarks compared to 0 for DeepSeek V4 Pro (Non-reasoning). See the detailed benchmark chart above for per-category results.
Agnes 2.5 Pro Alpha generates tokens faster at 202 tok/s vs 60 tok/s. DeepSeek V4 Pro (Non-reasoning) also has lower time-to-first-token (1.53s vs 2.86s).
Choose based on your priorities: DeepSeek V4 Pro (Non-reasoning) for lower cost, Agnes 2.5 Pro Alpha for stronger benchmark performance, and Agnes 2.5 Pro Alpha for faster generation. For latency-sensitive apps, check the TTFT comparison above.