Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, OpenAI: GPT-5.6 Luna (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.
Auto-discovered from OpenRouter (openai/gpt-5.6-luna:batch). Preview until a second source matches.
MiniMax coding model. Tied near the top of official SWE-bench bash-only in Feb 2026.
Single model data
No latency data
$0.6 / 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 | OpenAI: GPT-5.6 Luna (batch) | MiniMax M2.5 | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| Coding Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 90 tok/s | — |
| Input price | $0.1/1M | $0.22/1M | OpenAI: GPT-5.6 Luna (batch) (+$0.12/1M) |
| Output price | $0.6/1M | $0.9/1M | OpenAI: GPT-5.6 Luna (batch) (+$0.3/1M) |
| Context window | OpenAI: GPT-5.6 Luna (batch) (+845k) |
Simulate monthly production API costs in USD (US Dollar).
OpenAI: GPT-5.6 Luna (batch) is estimated to save $8.70/month ($104/year).
Need SWE-bench on both sides.
Lower output list price ($0.6/1M).
Need TTFT on both sides.
Larger window (1.1M).
MiniMax M2.5 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 (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 (batch) | Larger window (1.1M). |
| Screenshots / vision | MiniMax M2.5 | MiniMax M2.5 is the side marked multimodal in the catalog. |
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The real PNG is generated at /compare/gpt-5-6-luna-batch-vs-minimax-m2-5/opengraph-image for crawlers.
Verified head-to-head card
