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 1,358), while DeepSeek R1 leads in SWE-bench software engineering benchmarks (65.2%), while DeepSeek R1 is more budget-friendly at $2.19/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
8 direct benchmark disciplines evaluated across capability, speed, and cost
Open-weights reasoning model trained with large-scale RL.
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.
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 154 Arena Elo pts
62 tok/s
$2.19 / 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 | DeepSeek R1 | OpenAI o1 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +154 | ||
| Coding Elo | — | — | |
| LiveBench | +6.4% | ||
| SWE-bench | +16.3% | ||
| GPQA Diamond | +1.8% | ||
| Time to first token | — | ||
| Output speed | 62 tok/s | 45 tok/s | +17 tok/s |
| Input price | $0.55/1M | +$14.45/1M | |
| Output price | $2.19/1M | +$57.81/1M | |
| Context window | +72k |
Simulate monthly production API costs in USD (US Dollar).
DeepSeek R1 is estimated to save $1,372.90/month ($16,475/year).
Higher SWE-bench (65.2%).
Lower output list price ($2.19/1M).
Lower TTFT (420 ms).
Larger window (200k).
OpenAI o1 is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | DeepSeek R1 | Higher SWE-bench (65.2%). |
| High-volume chat | DeepSeek R1 | Lower output list price ($2.19/1M). |
| Voice / low-latency UI | DeepSeek R1 | Lower TTFT (420 ms). |
| Long-document RAG | OpenAI o1 | Larger window (200k). |
| Screenshots / vision | OpenAI o1 | OpenAI o1 is the side marked multimodal in the catalog. |
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