Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, Dots Studio: Dots3-Note Preview (free) is more budget-friendly at $0/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
3 benchmarks evaluated across capability, speed, and cost
Auto-discovered from OpenRouter (dots-studio/dots-3-note-preview:free). Preview until a second source matches.
Single model data
No latency data
$0 / 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 | Dots Studio: Dots3-Note Preview (free) | Llama 3.3 70B | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 140 tok/s | — |
| Input price | $0.1/1M | +$0.1/1M | |
| Output price | $0.32/1M | +$0.32/1M | |
| Context window | +381k |
Need SWE-bench on both sides.
Lower output list price ($0/1M).
Need TTFT on both sides.
Larger window (512k).
Llama 3.3 70B is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | Dots Studio: Dots3-Note Preview (free) | Lower output list price ($0/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | Dots Studio: Dots3-Note Preview (free) | Larger window (512k). |
| Screenshots / vision | Llama 3.3 70B | Llama 3.3 70B is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry
