Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)
This page compares OpenAI: GPT-5.6 Terra (batch) (OpenAI) and Qwen3 235B (Alibaba) using the latest snapshots we have as of Aug 16, 2026. Qwen3 235B wins on output price at $1.82/1M. OpenAI: GPT-5.6 Terra (batch) has the larger context window (1.1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.
OpenAI
OpenAI: GPT-5.6 Terra (batch)Auto-discovered from OpenRouter (openai/gpt-5.6-terra:batch). Preview until a second source matches.
Instant pairwise benchmark recalculation across 400+ LLMs
Category wins across intelligence, speed, and pricing efficiency.
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
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
No shared data
No shared data
$4.18/1M cheaper
Simulate monthly production API costs based on published $/1M tokens.
Qwen3 235B is estimated to save $81.78/month ($981/year).
Need SWE-bench on both sides.
Lower output list price ($1.82/1M).
Need TTFT on both sides.
Larger window (1.1M).
Qwen3 235B 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 | Qwen3 235B | Lower output list price ($1.82/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | OpenAI: GPT-5.6 Terra (batch) | Larger window (1.1M). |
| Screenshots / vision | Qwen3 235B | Qwen3 235B is the side marked multimodal in the catalog. |
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