Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Mistral Small 3.2 | Agnes 2.5 Pro Beta |
|---|---|---|
| Input ($/M tokens) | $0.1 | $0.1 |
| Output ($/M tokens) | $0.3 | $0.3 |
Verdict. Agnes 2.5 Pro Beta 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, Agnes 2.5 Pro Beta is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Agnes 2.5 Pro Beta makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Mistral Small 3.2 is strongest on Coding Index (12.5), Intelligence Index (7.0). Agnes 2.5 Pro Beta leads on Coding Index (62.3), Intelligence Index (35.2).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Mistral and Sapiens AI sell to overlapping but distinct developer audiences: Mistral 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): Mistral Small 3.2 costs $7.50 ($90/year); Agnes 2.5 Pro Beta costs $7.50 ($90/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Mistral Small 3.2 ≈ $1.10/run, Agnes 2.5 Pro Beta ≈ $1.10/run. At agent/realtime scale (200M input / 100M output per million requests): Mistral Small 3.2 ≈ $50/run, Agnes 2.5 Pro Beta ≈ $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.
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 Mistral Small 3.2. See the detailed benchmark chart above for per-category results.
Mistral Small 3.2 generates tokens faster at 154 tok/s vs — tok/s. Mistral Small 3.2 also has lower time-to-first-token (0.80s vs —s).
Choose based on your priorities: both are similarly priced, Agnes 2.5 Pro Beta for stronger benchmark performance, and Mistral Small 3.2 for faster generation. For latency-sensitive apps, check the TTFT comparison above.