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Compare performance benchmarks, coding intelligence, reasoning evaluations, context limits, and API economics between Qwen3.8 Flash (Alibaba) and Beam 1.0 501B A23B (Reflection AI).
| Metric / Capability | Qwen3.8 Flash | Beam 1.0 501B A23B |
|---|---|---|
| Developer / Organization | Alibaba | Reflection AI |
| Release Date | 2026-08-26 | 2026-10-16 |
| Deployment / Weights | Open Weights | Open Weights |
| Context Window | 1M tokens (1,000,000 tokens) | 1.0M tokens (1,048,576 tokens) |
| Input Pricing (/1M Tokens) | Free (Open Weights) | Free (Open Weights) |
| Output Pricing (/1M Tokens) | Free (Open Weights) | Free (Open Weights) |
| Benchmark / Domain | Qwen3.8 Flash | Beam 1.0 501B A23B | Advantage |
|---|---|---|---|
SWE-bench Pro Harder, contamination-resistant successor to SWE-bench spanning multiple languages. | — | 66.1% | — |
GPQA Diamond Graduate-level physics, chemistry, and biology questions written by domain experts. | — | 90.6% | — |
Humanity's Last Exam Expert-written questions across hundreds of disciplines designed to resist saturation. | — | 36.0% | — |
Design Arena ELO Human-preference ELO across UI, 3D, data-visualization, and game-dev generations. | — | 1227 | — |
Both models perform neck-and-neck across available benchmarks, with Qwen3.8 Flash and Beam 1.0 501B A23B each excelling in distinct tasks.
Beam 1.0 501B A23B has the larger context capacity of 1.0M tokens (1,048,576 tokens), compared to 1M tokens for Qwen3.8 Flash.
Both models have comparable pricing structures or open weight deployment options.
Qwen3.8 Flash is an open-weights model. Beam 1.0 501B A23B is an open-weights model.
Analyze 130+ models side-by-side using interactive radar charts, cost-efficiency quadrant plots, and live dataset filters on the full NeuBench index.
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