Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, OpenAI o1-mini delivers higher overall intelligence and human-preferred responses (Elo 1,445 vs 1,365), while DeepSeek Coder V2 leads in SWE-bench software engineering benchmarks (60.5%), while DeepSeek Coder V2 is more budget-friendly at $0.28/1M per 1M output tokens, while OpenAI o1-mini provides faster response streaming (85 tok/s). 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
DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.
OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.
Δ 80 Arena Elo pts
85 tok/s
$0.28 / 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 Coder V2 | OpenAI o1-mini | Advantage Delta |
|---|---|---|---|
| Preference Elo | +80 | ||
| Coding Elo | +26 | ||
| LiveBench | +3.4% | ||
| SWE-bench | +4.1% | ||
| GPQA Diamond | +6.6% | ||
| Time to first token | +10 ms | ||
| Output speed | 75 tok/s | 85 tok/s | +10 tok/s |
| Input price | $0.14/1M | $1.1/1M | +$0.96/1M |
| Output price | $0.28/1M | $4.4/1M | +$4.12/1M |
| Context window | — |
Simulate monthly production API costs in USD (US Dollar).
DeepSeek Coder V2 is estimated to save $95.40/month ($1,145/year).
Higher SWE-bench (60.5%).
Lower output list price ($0.28/1M).
Lower TTFT (280 ms).
Larger window (128k).
OpenAI o1-mini is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | DeepSeek Coder V2 | Higher SWE-bench (60.5%). |
| High-volume chat | DeepSeek Coder V2 | Lower output list price ($0.28/1M). |
| Voice / low-latency UI | OpenAI o1-mini | Lower TTFT (280 ms). |
| Long-document RAG | DeepSeek Coder V2 | Larger window (128k). |
| Screenshots / vision | OpenAI o1-mini | OpenAI o1-mini is the side marked multimodal in the catalog. |
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