Model Comparison
Qwen3.8-Flash-Next
vs. Beam 1.0
Comparing 2 AI models · 0 benchmarks · Alibaba, Reflection
Recommended Pick
ReBeam 1.03 metric winsStrongest on: Throughput, TTFT, Latency
Lowest Price
Qwen3.8-Flash-Next
$0.15/1M input price
Differences That Matter
Price gap
Qwen3.8-Flash-Next is 2.7x cheaper on input tokens than Beam 1.0.
Speed gap
Beam 1.0 generates about 4.0x as many tokens per second as Qwen3.8-Flash-Next.
Top-pick rationale
Beam 1.0 wins 3 measurable categories, including Throughput, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.8-Flash-Next
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Beam 1.0
Reflection
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3.8-Flash-Next | Top Pick Re Beam 1.0 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.40/1M |
| Output Cost | $0.47/1M | $1.20/1M |
| Blended (3:1) | $0.23/1M | $0.60/1M |
| Specifications | ||
| Organization | Alibaba | Reflection |
| Release Date | Aug 26, 2026 | Oct 16, 2026 |
| Performance & Speed | ||
| Throughput | 97.6 tok/s | 390.4 tok/s |
| TTFT | 1970ms | 700ms |
| Latency | 22460ms | 5820ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 17.7 |
| Intelligence | — | 17.7 |
Key Takeaways
Qwen3.8-Flash-Next offers the best value at $0.15/1M,making it ideal for high-volume applications and cost-conscious projects.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3.8-Flash-Next
- Cost-sensitive applications
- High-volume processing
Beam 1.0
- General-purpose AI
- Versatile applications
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