Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, Kimi K2.5 Max delivers higher overall intelligence and human-preferred responses (Elo 1,515 vs 1,260), while Kimi K2.5 Max leads in SWE-bench software engineering benchmarks (71.3%), while Kimi K2.5 Max is more budget-friendly at $2/1M per 1M output tokens. 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.
Moonshot flagship reasoning model with high-fidelity coding, deep thinking, and tool use across a 200k context.
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 255 Arena Elo pts
72 tok/s
$2 / 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 | Kimi K2.5 Max | Advantage Delta |
|---|---|---|---|
| Preference Elo | +255 | ||
| Coding Elo | — | — | |
| LiveBench | +18% | ||
| SWE-bench | +33.3% | ||
| GPQA Diamond | +29.6% | ||
| Time to first token | +30 ms | ||
| Output speed | 70 tok/s | 72 tok/s | +2 tok/s |
| Input price | $1.25/1M | $0.5/1M | +$0.75/1M |
| Output price | +$3/1M | ||
| Context window | +1.8M |
Simulate monthly production API costs in USD (US Dollar).
Kimi K2.5 Max is estimated to save $71.25/month ($855/year).
Higher SWE-bench (71.3%).
Lower output list price ($2/1M).
Lower TTFT (240 ms).
Larger window (2M).
Both accept images. Defaulting to the higher-Elo side (Kimi K2.5 Max).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Kimi K2.5 Max | Higher SWE-bench (71.3%). |
| High-volume chat | Kimi K2.5 Max | Lower output list price ($2/1M). |
| Voice / low-latency UI | Gemini 1.5 Pro | Lower TTFT (240 ms). |
| Long-document RAG | Gemini 1.5 Pro | Larger window (2M). |
| Screenshots / vision | Kimi K2.5 Max | Both accept images. Defaulting to the higher-Elo side (Kimi K2.5 Max). |
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