Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, OpenAI o1 delivers higher overall intelligence and human-preferred responses (Elo 1,512 vs 1,344), while OpenAI o1 leads in SWE-bench software engineering benchmarks (48.9%), while Command A is more budget-friendly at $10/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
9 direct benchmark disciplines evaluated across capability, speed, and cost
OpenAI pioneer reasoning foundation model designed for complex science, math, and multi-step reasoning.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 168 Arena Elo pts
118 tok/s
$10 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | Command A | OpenAI o1 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +168 | ||
| Coding Elo | — | — | |
| LiveBench | +9.2% | ||
| SWE-bench | +6.3% | ||
| GPQA Diamond | +12% | ||
| Time to first token | +245 ms | ||
| Output speed | 118 tok/s | 45 tok/s | +73 tok/s |
| Input price | $2.5/1M | +$12.5/1M | |
| Output price | +$50/1M | ||
| Context window | +56k |
Simulate monthly production API costs in USD (US Dollar).
Command A is estimated to save $1,187.50/month ($14,250/year).
Higher SWE-bench (48.9%).
Lower output list price ($10/1M).
Lower TTFT (175 ms).
Larger window (256k).
OpenAI o1 is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | OpenAI o1 | Higher SWE-bench (48.9%). |
| High-volume chat | Command A | Lower output list price ($10/1M). |
| Voice / low-latency UI | Command A | Lower TTFT (175 ms). |
| Long-document RAG | Command A | Larger window (256k). |
| Screenshots / vision | OpenAI o1 | OpenAI o1 is the side marked multimodal in the catalog. |
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