Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)
This page compares Gemini 2.5 Pro (Google) and OpenAI: o3 (batch) (OpenAI) using the latest snapshots we have as of Aug 16, 2026. OpenAI: o3 (batch) wins on output price at $4/1M. Gemini 2.5 Pro has the larger context window (1M 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.
OpenAI
OpenAI: o3 (batch)Auto-discovered from OpenRouter (openai/o3:batch). Preview until a second source matches.
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.
No shared data
No shared data
$6.00/1M cheaper
Simulate monthly production API costs based on published $/1M tokens.
OpenAI: o3 (batch) is estimated to save $98.75/month ($1,185/year).
Need SWE-bench on both sides.
Lower output list price ($4/1M).
Need TTFT on both sides.
Larger window (1M).
Gemini 2.5 Pro is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | OpenAI: o3 (batch) | Lower output list price ($4/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | Gemini 2.5 Pro | Larger window (1M). |
| Screenshots / vision | Gemini 2.5 Pro | Gemini 2.5 Pro is the side marked multimodal in the catalog. |
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The real PNG is generated at /compare/gemini-2-5-pro-vs-o3-batch/opengraph-image for crawlers.
Verified head-to-head card
