Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, Auto Router (Beta) is more budget-friendly at $-1,000,000/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
Auto-discovered from OpenRouter (openrouter/auto-beta). Preview until a second source matches.
Auto-discovered from OpenRouter (openai/gpt-chat-latest). Preview until a second source matches.
Single model data
No latency data
$-1000000 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
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 | Auto Router (Beta) | OpenAI: GPT Chat Latest | Advantage Delta |
|---|---|---|---|
| Input price | $-1,000,000/1M | Auto Router (Beta) (+$1,000,005/1M) | |
| Output price | $-1,000,000/1M | Auto Router (Beta) (+$1,000,030/1M) | |
| Context window | Auto Router (Beta) (+1.6M) |
Need SWE-bench on both sides.
Lower output list price ($-1,000,000/1M).
Need TTFT on both sides.
Larger window (2M).
Neither side is marked as vision-capable.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | Auto Router (Beta) | Lower output list price ($-1,000,000/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | Auto Router (Beta) | Larger window (2M). |
| Screenshots / vision | insufficient data | Neither side is marked as vision-capable. |
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The real PNG is generated at /compare/auto-beta-vs-gpt-chat-latest/opengraph-image for crawlers.
Verified head-to-head card
