Pairwise benchmark snapshot · Aug 16, 2026
This page compares DeepSeek R1 (DeepSeek) and Gemini 3 Pro (Google) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Gemini 3 Pro is ahead by 194 points (1,552 vs 1,358; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Gemini 3 Pro resolves 72.4% versus 65.2% (seed-bootstrap (Aug 1, 2026)). Gemini 3 Pro streams faster (92 tok/s) while DeepSeek R1 is the cheaper output token ($2.5/1M). Gemini 3 Pro has the larger context window (2M 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.
Google frontier multimodal model with a multi-million-token context window.
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.
194 pts advantage
30 tok/s faster
$2.50/1M cheaper
Simulate monthly production API costs based on published $/1M tokens.
DeepSeek R1 is estimated to save $56.75/month ($681/year).
Higher SWE-bench (72.4%).
Lower output list price ($2.5/1M).
Lower TTFT (220 ms).
Larger window (2M).
Gemini 3 Pro is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Gemini 3 Pro | Higher SWE-bench (72.4%). |
| High-volume chat | DeepSeek R1 | Lower output list price ($2.5/1M). |
| Voice / low-latency UI | Gemini 3 Pro | Lower TTFT (220 ms). |
| Long-document RAG | Gemini 3 Pro | Larger window (2M). |
| Screenshots / vision | Gemini 3 Pro | Gemini 3 Pro is the side marked multimodal in the catalog. |
March 2026 Google frontier multimodal with a 2M window. 3.6 Pro is newer; 3 Pro stays as the original 3.x Pro row.
Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.
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Verified head-to-head card
