Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, Gemini 3.6 Pro delivers higher overall intelligence and human-preferred responses (Elo 1,570 vs 1,552), while Gemini 3.6 Pro leads in SWE-bench software engineering benchmarks (74.6%), while Gemini 3.6 Pro is more budget-friendly at $5/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
7 direct benchmark disciplines evaluated across capability, speed, and cost
Current Google Pro-class multimodal model. Long context, strong coding, billed like the 3.x Pro tier.
Google frontier multimodal model with a multi-million-token context window.
Currently comparing Gemini 3.6 Pro vs Gemini 3 Pro. Alternative family tiers available.
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 18 Arena Elo pts
102 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 3.6 Pro | Gemini 3 Pro | Advantage Delta |
|---|---|---|---|
| Preference Elo | +18 | ||
| Coding Elo | +18 | ||
| LiveBench | +1.2% | ||
| SWE-bench | +2.2% | ||
| GPQA Diamond | +0.8% | ||
| Time to first token | +15 ms | ||
| Output speed | 102 tok/s | 92 tok/s | +10 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 (74.6%).
Lower output list price ($5/1M).
Lower TTFT (205 ms).
Larger window (2M).
Both accept images. Defaulting to the higher-Elo side (Gemini 3.6 Pro).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Gemini 3.6 Pro | Higher SWE-bench (74.6%). |
| High-volume chat | Gemini 3.6 Pro | Lower output list price ($5/1M). |
| Voice / low-latency UI | Gemini 3.6 Pro | Lower TTFT (205 ms). |
| Long-document RAG | Gemini 3.6 Pro | Larger window (2M). |
| Screenshots / vision | Gemini 3.6 Pro | Both accept images. Defaulting to the higher-Elo side (Gemini 3.6 Pro). |
3.7 Flash vs 3.6 Pro is the current Google volume-versus-upgrade pair.
Top Anthropic vs top Google. Usually Opus 5 vs 3.6 Pro. Two different invoices.
Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.
2M context, Pro-class Elo and coding. Upgrade path from Flash is this page, not a vibe check.
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Verified Head-to-Head Telemetry
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