Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, GPT-5.6 Sol delivers higher overall intelligence and human-preferred responses (Elo 1,608 vs 1,570), while GPT-5.6 Sol leads in SWE-bench software engineering benchmarks (77.6%), 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.
10 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.
OpenAI 5.6 flagship tier. Official API $5/$30 per 1M tokens (OpenAI pricing, Jul 30 2026 update left Sol unchanged).
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.
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 38 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 | GPT-5.6 Sol | Advantage Delta |
|---|---|---|---|
| Preference Elo | +38 | ||
| Coding Elo | +36 | ||
| LiveBench | +2.1% | ||
| SWE-bench | +3% | ||
| GPQA Diamond | +2.4% | ||
| Time to first token | +65 ms | ||
| Output speed | 102 tok/s | 84 tok/s | +18 tok/s |
| Input price | $1.25/1M | +$3.75/1M | |
| Output price | +$25/1M | ||
| Context window | +1M |
Simulate monthly production API costs in USD (US Dollar).
Gemini 3.6 Pro is estimated to save $506.25/month ($6,075/year).
Higher SWE-bench (77.6%).
Lower output list price ($5/1M).
Lower TTFT (205 ms).
Larger window (2M).
Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | GPT-5.6 Sol | Higher SWE-bench (77.6%). |
| 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 | GPT-5.6 Sol | Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol). |
3.7 Flash vs 3.6 Pro is the current Google volume-versus-upgrade pair.
Brand hub remaps to top xAI vs top OpenAI. After Aug 12 that is Grok 4.6 vs Sol.
Top Anthropic vs top Google. Usually Opus 5 vs 3.6 Pro. Two different invoices.
Not a frozen 2025 article. Today that is usually Opus 5 vs GPT-5.6 Sol. Dated cells, not a brand fight.
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