Beam 1.0 vs Qwen3.7 Max

Beam 1.0 and Qwen3.7 Max are closely matched at 44.6 and 45.1 on the LLM Stats Score. Beam 1.0 is 3.1x cheaper per token.

Reflection AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Beam 1.0 and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 44.6 and 45.1.

In the 9 individual benchmarks reported for both models, Beam 1.0 wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Beam 1.0 is roughly 3.1x 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

you value its reported benchmark strengths — it wins 5 of 9 exact shared results
cost matters — it's about 3.1x 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 Qwen3.7 Max

you want predictable pricing at $1.25/M input and $3.75/M output

At a glance

The differences that matter most.

Better token value: Beam 1.0

Beam 1.0

Reflection AI

Qwen3.7 Max

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

44.6

#46 · 22 evals

45.1

#43 · 37 evals

Best

Reasoning

45.5

#37 · 19 evals

45.9

#33 · 24 evals

Best

Coding

33.7

#39 · 9 evals

34.9

#33 · 10 evals

Best

Agents

28.8

#53 · 9 evals

Best

28.4

#57 · 13 evals

Cost, coverage & limits

Benchmark wins

5 of 9

Best

4 of 9

Input price

$0.40 / M

Best

$1.25 / M

Output price

$1.20 / M

Best

$3.75 / M

Context window

1,048,576

Best

1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared

Index

Beam 1.0

Qwen3.7 Max

Math

35.1#45 · 5 evals

42.8#4 · 13 evals

Vision

15.9#105 · 2 evals

25.6#61 · 2 evals

Tool use

26.4#32 · 4 evals

26.6#31 · 5 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 42 for Qwen3.7 Max

9 shared

Beam 1.0 outperforms in 5 benchmarks (CritPT, IFBench, MCP Atlas, SWE-Bench Pro, SWE-Bench Verified), while Qwen3.7 Max is better at 3 benchmarks (GPQA, Humanity's Last Exam, SciCode).

Beam 1.0 has a slight edge in benchmark performance.

Sat Oct 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Beam 1.0 costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 3.1x cheaper than Qwen3.7 Max ($1.25/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 3.1x cheaper than Qwen3.7 Max ($3.75/1M tokens).

In conclusion, Qwen3.7 Max is more expensive than Beam 1.0.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Sat Oct 24 2026 • llm-stats.com

Beam 1.0

Input tokens$0.40

Output tokens$1.20

Best providerTogether

Qwen3.7 Max

Input tokens$1.25

Output tokens$3.75

Best providerNovita

Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while Qwen3.7 Max is limited to 65,536 tokens.

Beam 1.0

Input1,048,576 tokens

Output131,072 tokens

Qwen3.7 Max

Input1,000,000 tokens

Output65,536 tokens

Sat Oct 24 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Qwen3.7 Max uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Beam 1.0

Apache 2.0

Open weights

Qwen3.7 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Qwen3.7 Max was released on 2026-05-19.

Beam 1.0 is 5 months newer than Qwen3.7 Max.

Beam 1.0

Oct 16, 2026

4 days ago

5mo newer

Qwen3.7 Max

May 19, 2026

5 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Qwen3.7 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 Qwen3.7 Max's cutoff date.

Beam 1.0

Jun 2026

Qwen3.7 Max

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. Qwen3.7 Max is available from Novita, DeepInfra, Together.

Beam 1.0

Together

Input Price:Input: $0.40/1MOutput Price:Output: $1.20/1M

Unknown Organization

Qwen3.7 Max

Novita

Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M

Deepinfra

Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M

Together

Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Qwen3.7 Max side-by-side, then vote on the output you prefer.

Beam 1.0

✓ Preferred

Qwen3.7 Max

Open in Playground

FAQ

Common questions about Beam 1.0 vs Qwen3.7 Max.

Which is better, Beam 1.0 or Qwen3.7 Max?

Beam 1.0 and Qwen3.7 Max are closely matched on the LLM Stats Score at 44.6 and 45.1. Beam 1.0 is made by Reflection AI and Qwen3.7 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Beam 1.0 compare to Qwen3.7 Max in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%.

Is Beam 1.0 cheaper than Qwen3.7 Max?

Beam 1.0 is 3.1x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita.

What are the context window sizes for Beam 1.0 and Qwen3.7 Max?

Beam 1.0 supports 1.0M tokens and Qwen3.7 Max supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Beam 1.0 and Qwen3.7 Max?

Key differences include LLM Stats Score (44.6 vs 45.1), context window (1.0M vs 1.0M), input pricing ($0.40 vs $1.25/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Qwen3.7 Max?

Beam 1.0 is developed by Reflection AI and Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team.

Beam 1.0 vs Qwen3.7 Max