Pairwise benchmark snapshot · Aug 16, 2026
This page compares DeepSeek V3 (DeepSeek) and GPT-5 mini (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-5 mini is ahead by 100 points (1,410 vs 1,310; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-5 mini resolves 52.4% versus 48.6% (seed-bootstrap (Aug 1, 2026)). GPT-5 mini streams faster (155 tok/s) while DeepSeek V3 is the cheaper output token ($1.03/1M). GPT-5 mini has the larger context window (400k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.
Instant pairwise benchmark recalculation across 400+ LLMs
Category wins across intelligence, speed, and pricing efficiency.
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
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
100 pts advantage
89 tok/s faster
$0.97/1M cheaper
Simulate monthly production API costs based on published $/1M tokens.
DeepSeek V3 is estimated to save $14.31/month ($172/year).
Higher SWE-bench (52.4%).
Lower output list price ($1.03/1M).
Lower TTFT (140 ms).
Larger window (400k).
GPT-5 mini is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | GPT-5 mini | Higher SWE-bench (52.4%). |
| High-volume chat | DeepSeek V3 | Lower output list price ($1.03/1M). |
| Voice / low-latency UI | GPT-5 mini | Lower TTFT (140 ms). |
| Long-document RAG | GPT-5 mini | Larger window (400k). |
| Screenshots / vision | GPT-5 mini | GPT-5 mini is the side marked multimodal in the catalog. |
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The real PNG is generated at /compare/deepseek-v3-vs-gpt-5-mini/opengraph-image for crawlers.
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