Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
This page compares MAI-Image-2.5-Flash (Microsoft AI) and Qwen 3 Max (Alibaba) using the latest snapshots we have as of Aug 17, 2026. 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.
Microsoft AI
MAI-Image-2.5-FlashCost-optimized Microsoft AI image model delivering sub-2 second responses at $20/1k images.
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
No shared data
Need SWE-bench on both sides.
Need list prices.
Need TTFT on both sides.
Need context sizes.
Both accept images. Defaulting to the higher-Elo side (undefined).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | insufficient data | Need list prices. |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | insufficient data | Need context sizes. |
| Screenshots / vision | insufficient data | Both accept images. Defaulting to the higher-Elo side (undefined). |
Closed flagship. Strong math. Compare to Sol and Opus on GPQA and SWE-bench, not on brand heat.
Sep 2025 open-weight mixture-of-experts. Self-host path. Don’t confuse it with Qwen 3 Max.
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The real PNG is generated at /compare/mai-image-2-5-flash-vs-qwen-3-max/opengraph-image for crawlers.
Verified head-to-head card