Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, GPT-5 delivers higher overall intelligence and human-preferred responses (Elo 1,558 vs 1,260), while GPT-5 leads in SWE-bench software engineering benchmarks (68.4%), while Gemini 1.5 Pro is more budget-friendly at $5/1M per 1M output tokens, while GPT-5 provides faster response streaming (78 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
9 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.
OpenAI flagship reasoning model for 2025–26. Strong general preference Elo and multimodal coverage.
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 298 Arena Elo pts
78 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 | GPT-5 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +298 | ||
| Coding Elo | — | — | |
| LiveBench | +20.6% | ||
| SWE-bench | +30.4% | ||
| GPQA Diamond | +27.2% | ||
| Time to first token | +50 ms | ||
| Output speed | 70 tok/s | 78 tok/s | +8 tok/s |
| Input price | $1.25/1M | +$3.75/1M | |
| Output price | +$15/1M | ||
| Context window | +1.6M |
Simulate monthly production API costs in USD (US Dollar).
Gemini 1.5 Pro is estimated to save $356.25/month ($4,275/year).
Higher SWE-bench (68.4%).
Lower output list price ($5/1M).
Lower TTFT (240 ms).
Larger window (2M).
Both accept images. Defaulting to the higher-Elo side (GPT-5).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | GPT-5 | Higher SWE-bench (68.4%). |
| High-volume chat | Gemini 1.5 Pro | Lower output list price ($5/1M). |
| Voice / low-latency UI | Gemini 1.5 Pro | Lower TTFT (240 ms). |
| Long-document RAG | Gemini 1.5 Pro | Larger window (2M). |
| Screenshots / vision | GPT-5 | Both accept images. Defaulting to the higher-Elo side (GPT-5). |
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Verified Head-to-Head Telemetry