Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | ERNIE 4.5 300B A47B | MiniMax-M2.5 |
|---|---|---|
| Input ($/M tokens) | $0.28 | $0.3 |
| Output ($/M tokens) | $1.1 | $1.2 |
Verdict. MiniMax-M2.5 takes the aggregate benchmark matchup 1–0 across 1 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 0.9× the per-million-token cost, ERNIE 4.5 300B A47B is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). ERNIE 4.5 300B A47B makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. ERNIE 4.5 300B A47B is strongest on Intelligence Index (8.9). MiniMax-M2.5 leads on Intelligence Index (34.5).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Baidu and MiniMax sell to overlapping but distinct developer audiences: Baidu tends to ship frontier reasoning models with premium positioning, while MiniMax 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): ERNIE 4.5 300B A47B costs $24.90 ($299/year); MiniMax-M2.5 costs $27.00 ($324/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): ERNIE 4.5 300B A47B ≈ $3.60/run, MiniMax-M2.5 ≈ $3.90/run. At agent/realtime scale (200M input / 100M output per million requests): ERNIE 4.5 300B A47B ≈ $166/run, MiniMax-M2.5 ≈ $180/run. ERNIE 4.5 300B A47B 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
ERNIE 4.5 300B A47B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.48/M tokens vs $0.53/M for MiniMax-M2.5.
MiniMax-M2.5 wins 1 out of 12 benchmarks compared to 0 for ERNIE 4.5 300B A47B. See the detailed benchmark chart above for per-category results.
MiniMax-M2.5 generates tokens faster at 94 tok/s vs — tok/s. However, MiniMax-M2.5 has lower time-to-first-token (1.66s vs —s).
Choose based on your priorities: ERNIE 4.5 300B A47B for lower cost, MiniMax-M2.5 for stronger benchmark performance, and MiniMax-M2.5 for faster generation. For latency-sensitive apps, check the TTFT comparison above.