Pairwise benchmark snapshot · Aug 16, 2026
This page compares DeepSeek V3 (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 242 points (1,552 vs 1,310; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Gemini 3 Pro resolves 72.4% versus 48.6% (seed-bootstrap (Aug 1, 2026)). Gemini 3 Pro streams faster (92 tok/s) while DeepSeek V3 is the cheaper output token ($1.03/1M). 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.
242 pts advantage
26 tok/s faster
$3.97/1M cheaper
Simulate monthly production API costs based on published $/1M tokens.
DeepSeek V3 is estimated to save $94.31/month ($1,132/year).
Higher SWE-bench (72.4%).
Lower output list price ($1.03/1M).
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 V3 | Lower output list price ($1.03/1M). |
| 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. |
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Verified head-to-head card
