Qwen3.8-Flash-Next Beats Claude Opus on SWE-bench Pro at 1/9 Cost
eyishazyer · x · 2026-08-28
Qwen3.8-Flash-Next claims to top the SWE-bench Pro leaderboard with a score of 62.5, surpassing Claude Opus 4.6 Max (53.4). It is an open-weight multimodal MoE with 125B total parameters but only 6B active per token. Crucially, Qwen states it was trained for roughly 1/9 the cost of its predecessor, Qwen3.7-Plus, which it now outperforms on most coding tasks.
Key Metrics:
- SWE-bench Pro: 62.5
- LiveCodeBench: 91.9
- GPQA Diamond: 91.7
- Context: 262K native, extendable to 1M.
Caveats:
- Claude Opus 4.6 Max still leads on the HLE benchmark (40.0 vs 35.9).
- There are inconsistencies in Qwen's own documentation regarding 1M context speedup claims (marketing cites 7.6x/4.9x, while cookbooks cite 10.2x/6.6x). Independent benchmarking is needed.
More from coding & agent
- Dev vibe-codes open-source newsletter platform, 83% cheaper than Beehiiv from $19/mo — marclou · 2026-10-15
- ERP AI launches Proto: 'headless SaaS' business software built for AI agents — Aiden_Tech_Ai · 2026-10-15
- Engineering managers need deep reading, not just agent summaries: 5 recommended resources — rseroter · 2026-10-15
- Adding motion graphics with just a prompt: the Claude Motion x ElevenLabs MCP workflow — CurieuxExplorer · 2026-10-15
- A $15k AI SEO client-finding system built on Claude, free to download — aryanXmahajan · 2026-10-15
- Google's HARNESS² evolves agent harnesses without verifiers, up to +11.5 points on WorkBuddy-Bench — dair_ai · 2026-10-15