Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, OpenAI o3-mini delivers higher overall intelligence and human-preferred responses (Elo 1,560 vs 1,515), while OpenAI o3-mini leads in SWE-bench software engineering benchmarks (78.5%), while Kimi K2.5 Max is more budget-friendly at $2/1M per 1M output tokens, while OpenAI o3-mini provides faster response streaming (92 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
Moonshot flagship reasoning model with high-fidelity coding, deep thinking, and tool use across a 200k context.
OpenAI cost-efficient reasoning model with adjustable thinking effort and top coding benchmark scores.
Currently comparing Kimi K2.5 Max vs OpenAI o3-mini. 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.
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 45 Arena Elo pts
92 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 | Kimi K2.5 Max | OpenAI o3-mini | Advantage Delta |
|---|---|---|---|
| Preference Elo | +45 | ||
| Coding Elo | +65 | ||
| LiveBench | +5.2% | ||
| SWE-bench | +7.2% | ||
| GPQA Diamond | +0.4% | ||
| Time to first token | +20 ms | ||
| Output speed | 72 tok/s | 92 tok/s | +20 tok/s |
| Input price | $0.5/1M | $1.1/1M | +$0.6/1M |
| Output price | $4.4/1M | +$2.4/1M | |
| Context window | — |
Simulate monthly production API costs in USD (US Dollar).
Kimi K2.5 Max is estimated to save $57.00/month ($684/year).
Higher SWE-bench (78.5%).
Lower output list price ($2/1M).
Lower TTFT (270 ms).
Larger window (200k).
Kimi K2.5 Max is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | OpenAI o3-mini | Higher SWE-bench (78.5%). |
| High-volume chat | Kimi K2.5 Max | Lower output list price ($2/1M). |
| Voice / low-latency UI | Kimi K2.5 Max | Lower TTFT (270 ms). |
| Long-document RAG | Kimi K2.5 Max | Larger window (200k). |
| Screenshots / vision | Kimi K2.5 Max | Kimi K2.5 Max is the side marked multimodal in the catalog. |
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