Pairwise benchmark snapshot · Aug 17, 2026
In this head-to-head showdown, Gemini 2.0 Flash Thinking delivers higher overall intelligence and human-preferred responses (Elo 1,490 vs 1,335), while Gemini 2.0 Flash Thinking leads in SWE-bench software engineering benchmarks (66.8%), while Gemini 2.0 Flash Thinking is more budget-friendly at $0.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
9 benchmarks evaluated across capability, speed, and cost
Google experimental reasoning model that visualizes thoughts in real-time.
Previous OpenAI flagship. Still a common compare baseline on legacy pages.
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 155 Arena Elo pts
115 tok/s
$0.4 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top standard models across 6 key capability 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 2.0 Flash Thinking | GPT-4o | Advantage Delta |
|---|---|---|---|
| Preference Elo | +155 | ||
| Coding Elo | — | — | |
| LiveBench | +12.8% | ||
| SWE-bench | +12% | ||
| GPQA Diamond | +7.8% | ||
| Time to first token | +40 ms | ||
| Output speed | 115 tok/s | 110 tok/s | +5 tok/s |
| Input price | $0.1/1M | $2.5/1M | +$2.4/1M |
| Output price | $0.4/1M | +$9.6/1M | |
| Context window | +921k |
Simulate monthly production API costs in USD (US Dollar).
Gemini 2.0 Flash Thinking is estimated to save $228.00/month ($2,736/year).
Higher SWE-bench (66.8%).
Lower output list price ($0.4/1M).
Lower TTFT (180 ms).
Larger window (1M).
Both accept images. Defaulting to the higher-Elo side (Gemini 2.0 Flash Thinking).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Gemini 2.0 Flash Thinking | Higher SWE-bench (66.8%). |
| High-volume chat | Gemini 2.0 Flash Thinking | Lower output list price ($0.4/1M). |
| Voice / low-latency UI | GPT-4o | Lower TTFT (180 ms). |
| Long-document RAG | Gemini 2.0 Flash Thinking | Larger window (1M). |
| Screenshots / vision | Gemini 2.0 Flash Thinking | Both accept images. Defaulting to the higher-Elo side (Gemini 2.0 Flash Thinking). |
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