Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, OpenAI: GPT-5.6 Luna Pro (batch) is more budget-friendly at $0.6/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
3 direct benchmark disciplines evaluated across capability, speed, and cost
Auto-discovered from OpenRouter (openai/gpt-5.6-luna-pro:batch). Preview until a second source matches.
Alibaba specialized open reasoning model competing with frontier closed reasoning models.
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.
Single model data
No latency data
$0.6 / 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 | OpenAI: GPT-5.6 Luna Pro (batch) | Qwen QwQ 32B | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| Coding Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 68 tok/s | — |
| Input price | $0.1/1M | $0.3/1M | +$0.2/1M |
| Output price | $0.6/1M | $1.2/1M | +$0.6/1M |
| Context window | +919k |
Simulate monthly production API costs in USD (US Dollar).
OpenAI: GPT-5.6 Luna Pro (batch) is estimated to save $16.00/month ($192/year).
Need SWE-bench on both sides.
Lower output list price ($0.6/1M).
Need TTFT on both sides.
Larger window (1.1M).
Qwen QwQ 32B 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 | OpenAI: GPT-5.6 Luna Pro (batch) | Lower output list price ($0.6/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | OpenAI: GPT-5.6 Luna Pro (batch) | Larger window (1.1M). |
| Screenshots / vision | Qwen QwQ 32B | Qwen QwQ 32B is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry
