Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, Gemini 3 Pro delivers higher overall intelligence and human-preferred responses (Elo 1,552 vs 1,260), while Gemini 3 Pro leads in SWE-bench software engineering benchmarks (72.4%), while Gemini 1.5 Pro is more budget-friendly at $5/1M per 1M output tokens, while Gemini 3 Pro provides faster response streaming (92 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
6 direct benchmark disciplines evaluated across capability, speed, and cost
First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.
Google frontier multimodal model with a multi-million-token context window.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 292 Arena Elo pts
92 tok/s
$5 / 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 | Gemini 1.5 Pro | Gemini 3 Pro | Advantage Delta |
|---|---|---|---|
| Preference Elo | +292 | ||
| Coding Elo | — | — | |
| LiveBench | +21.4% | ||
| SWE-bench | +34.4% | ||
| GPQA Diamond | +25.6% | ||
| Time to first token | +20 ms | ||
| Output speed | 70 tok/s | 92 tok/s | +22 tok/s |
| Input price | $1.25/1M | $1.25/1M | — |
| Output price | — | ||
| Context window | — |
Simulate monthly production API costs in USD (US Dollar).
Higher SWE-bench (72.4%).
Lower output list price ($5/1M).
Lower TTFT (220 ms).
Larger window (2M).
Both accept images. Defaulting to the higher-Elo side (Gemini 3 Pro).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Gemini 3 Pro | Higher SWE-bench (72.4%). |
| High-volume chat | Gemini 1.5 Pro | Lower output list price ($5/1M). |
| Voice / low-latency UI | Gemini 3 Pro | Lower TTFT (220 ms). |
| Long-document RAG | Gemini 1.5 Pro | Larger window (2M). |
| Screenshots / vision | Gemini 3 Pro | Both accept images. Defaulting to the higher-Elo side (Gemini 3 Pro). |
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Verified Head-to-Head Telemetry