Beam 1.0 vs Qwen3 Max
Beam 1.0 leads the LLM Stats Score 44.6 to 21.3. Beam 1.0 is 2.7x cheaper per token.
Reflection AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 21.3, ranking #46 overall.
In the 2 individual benchmarks reported for both models, Beam 1.0 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Beam 1.0 is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Beam 1.0 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Beam 1.0
- overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 2.7x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3 Max
- you want predictable pricing at $0.50/M input and $5.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Beam 1.0 · 6 for Qwen3 Max
Beam 1.0 outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while Qwen3 Max is better at 0 benchmarks.
Beam 1.0 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Beam 1.0 ($0.40/1M tokens) is 1.3x cheaper than Qwen3 Max ($0.50/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 4.2x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 Max has 498.7B more parameters than Beam 1.0, making it 99.5% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Qwen3 Max's 256,000 tokens. Both models can generate responses up to 131,072 tokens.
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Qwen3 Max uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Qwen3 Max was released on 2025-12-15.
Beam 1.0 is 10 months newer than Qwen3 Max.
Oct 16, 2026
1 weeks ago
10mo newerDec 15, 2025
10 months ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Qwen3 Max's cutoff date is not specified.
We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without Qwen3 Max's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Qwen3 Max is available from Novita, DeepInfra.
Beam 1.0
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Qwen3 Max.