Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, Kimi K2.5 Max delivers higher overall intelligence and human-preferred responses (Elo 1,515 vs 1,412), while Kimi K2.5 Max leads in SWE-bench software engineering benchmarks (71.3%), while Llama 4 Scout is more budget-friendly at $0.3/1M 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
Moonshot flagship reasoning model with high-fidelity coding, deep thinking, and tool use across a 200k context.
Meta open-weight Llama 4 long-context sibling of Maverick. Common public API lists sit near $0.08–$0.30 / $0.30–$0.70 per 1M; we store a conservative hosted list until OpenRouter overwrites.
Currently comparing Kimi K2.5 Max vs Llama 4 Scout. 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.
Δ 103 Arena Elo pts
155 tok/s
$0.3 / 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 | Llama 4 Scout | Advantage Delta |
|---|---|---|---|
| Preference Elo | +103 | ||
| Coding Elo | +122 | ||
| LiveBench | +7.6% | ||
| SWE-bench | +18.9% | ||
| GPQA Diamond | +16.4% | ||
| Time to first token | +140 ms | ||
| Output speed | 72 tok/s | 155 tok/s | +83 tok/s |
| Input price | $0.5/1M | $0.08/1M | +$0.42/1M |
| Output price | +$1.7/1M | ||
| Context window | +9.8M |
Simulate monthly production API costs in USD (US Dollar).
Llama 4 Scout is estimated to save $40.20/month ($482/year).
Higher SWE-bench (71.3%).
Lower output list price ($0.3/1M).
Lower TTFT (130 ms).
Larger window (10M).
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 | Llama 4 Scout | Lower output list price ($0.3/1M). |
| Voice / low-latency UI | Llama 4 Scout | Lower TTFT (130 ms). |
| Long-document RAG | Llama 4 Scout | Larger window (10M). |
| Screenshots / vision | Kimi K2.5 Max | Both accept images. Defaulting to the higher-Elo side (Kimi K2.5 Max). |
$1/$5 hosted Claude vs a cheap long-context open sibling. The alternative-to-Sonnet pair that is honest.
Huge window, cheap hosted lists. The Haiku alternative that is actually open-weight.
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