Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, OpenAI o1 delivers higher overall intelligence and human-preferred responses (Elo 1,512 vs 1,412), while Llama 4 Scout leads in SWE-bench software engineering benchmarks (52.4%), 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
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.
OpenAI pioneer reasoning foundation model designed for complex science, math, and multi-step reasoning.
Currently comparing Llama 4 Scout vs OpenAI o1. 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 100 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 | Llama 4 Scout | OpenAI o1 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +100 | ||
| Coding Elo | +87 | ||
| LiveBench | +5.8% | ||
| SWE-bench | +3.5% | ||
| GPQA Diamond | +6.8% | ||
| Time to first token | +290 ms | ||
| Output speed | 155 tok/s | 45 tok/s | +110 tok/s |
| Input price | $0.08/1M | +$14.92/1M | |
| Output price | +$59.7/1M | ||
| Context window | +9.8M |
Simulate monthly production API costs in USD (US Dollar).
Llama 4 Scout is estimated to save $1,417.70/month ($17,012/year).
Higher SWE-bench (52.4%).
Lower output list price ($0.3/1M).
Lower TTFT (130 ms).
Larger window (10M).
Both accept images. Defaulting to the higher-Elo side (OpenAI o1).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Llama 4 Scout | Higher SWE-bench (52.4%). |
| 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 | OpenAI o1 | Both accept images. Defaulting to the higher-Elo side (OpenAI o1). |
$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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