Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Gemini 2.5 Pro | Command A |
|---|---|---|
| Input ($/M tokens) | $1.25 | $2.5 |
| Output ($/M tokens) | $10 | $10 |
Verdict. Gemini 2.5 Pro 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 mid-tier bracket for output-token pricing. At 1.0× the per-million-token cost, Command A is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Command A makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Gemini 2.5 Pro is strongest on Coding Index (33.3), Intelligence Index (25.9). Command A leads on Intelligence Index (7.5).
Speed. On throughput, Gemini 2.5 Pro generates tokens at 122 tok/s versus 57 tok/s — about 54% faster. On time-to-first-token, Command A responds in 1650ms vs 21990ms, which matters most for chat-style UIs.
Provider. Google and Cohere sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while Cohere 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): Gemini 2.5 Pro costs $187.50 ($2250/year); Command A costs $225.00 ($2700/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemini 2.5 Pro ≈ $26.25/run, Command A ≈ $32.50/run. At agent/realtime scale (200M input / 100M output per million requests): Gemini 2.5 Pro ≈ $1250/run, Command A ≈ $1500/run. Gemini 2.5 Pro 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
Gemini 2.5 Pro is cheaper overall. Its blended price (3:1 input/output ratio) is $3.44/M tokens vs $4.38/M for Command A.
Gemini 2.5 Pro wins 2 out of 12 benchmarks compared to 0 for Command A. See the detailed benchmark chart above for per-category results.
Gemini 2.5 Pro generates tokens faster at 122 tok/s vs 57 tok/s. However, Command A has lower time-to-first-token (1.65s vs 21.99s).
Choose based on your priorities: Gemini 2.5 Pro for lower cost, Gemini 2.5 Pro for stronger benchmark performance, and Gemini 2.5 Pro for faster generation. For latency-sensitive apps, check the TTFT comparison above.