Beam 1.0 vs Qwen3-235B-A22B-Instruct-2507

Beam 1.0 leads the LLM Stats Score 44.6 to 23.7. Qwen3-235B-A22B-Instruct-2507 is 2.9x 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 23.7, ranking #46 overall.

In the 1 individual benchmarks reported for both models, Beam 1.0 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3-235B-A22B-Instruct-2507 is roughly 2.9x 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 1 of 1 exact shared results
you process long inputs — it offers a 1,048,576 token context window
you want the most recent training data — it shipped Oct 2026

Choose Qwen3-235B-A22B-Instruct-2507

cost matters — it's about 2.9x cheaper per token

At a glance

The differences that matter most.

Better token value: Qwen3-235B-A22B-Instruct-2507

Beam 1.0

Reflection AI

Qwen3-235B-A22B-Instruct-2507

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

44.6

#46 · 22 evals

Best

23.7

#191 · 25 evals

Reasoning

45.5

#37 · 19 evals

Best

23.5

#186 · 17 evals

Coding

33.7

#39 · 9 evals

Best

3.9

#233 · 1 evals

Agents

28.8

#53 · 9 evals

Best

9.8

#143 · 1 evals

Cost, coverage & limits

Benchmark wins

1 of 1

Best

0 of 1

Input price

$0.40 / M

$0.09 / M

Best

Output price

$1.20 / M

$0.55 / M

Best

Context window

1,048,576

Best

262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared

Index

Beam 1.0

Qwen3-235B-A22B-Instruct-2507

Math

35.1#45 · 5 evals

23.7#133 · 8 evals

Vision

15.9#105 · 2 evals

8.8#151 · 2 evals

Tool use

26.4#32 · 4 evals

5.1#173 · 3 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 25 for Qwen3-235B-A22B-Instruct-2507

1 shared

Beam 1.0 outperforms in 1 benchmarks (GPQA), while Qwen3-235B-A22B-Instruct-2507 is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Instruct-2507 costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 4.4x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.09/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 2.2x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.55/1M tokens).

In conclusion, Beam 1.0 is more expensive than Qwen3-235B-A22B-Instruct-2507.*

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

Lowest available price from all providers

Thu Oct 22 2026 • llm-stats.com

Beam 1.0

Input tokens$0.40

Output tokens$1.20

Best providerTogether

Qwen3-235B-A22B-Instruct-2507

Input tokens$0.09

Output tokens$0.55

Best providerDeepinfra

Notice missing or incorrect data?

Model Size

Parameter count comparison

266.3B diff

Beam 1.0 has 266.3B more parameters than Qwen3-235B-A22B-Instruct-2507, making it 113.3% larger.

Beam 1.0

501.3Bparameters

Qwen3-235B-A22B-Instruct-2507

235.0Bparameters

501.3B

Beam 1.0

235.0B

Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to Qwen3-235B-A22B-Instruct-2507's 262,144 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 262,144 tokens, while Beam 1.0 is limited to 131,072 tokens.

Beam 1.0

Input1,048,576 tokens

Output131,072 tokens

Qwen3-235B-A22B-Instruct-2507

Input262,144 tokens

Output262,144 tokens

Thu Oct 22 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Beam 1.0

Apache 2.0

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Beam 1.0 is 15 months newer than Qwen3-235B-A22B-Instruct-2507.

Beam 1.0

Oct 16, 2026

6 days ago

1.2yr newer

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

Beam 1.0

Jun 2026

Qwen3-235B-A22B-Instruct-2507

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. Qwen3-235B-A22B-Instruct-2507 is available from DeepInfra, Fireworks, Novita.

Beam 1.0

Together

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

Unknown Organization

Qwen3-235B-A22B-Instruct-2507

Deepinfra

Input Price:Input: $0.09/1MOutput Price:Output: $0.55/1M

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

* 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 Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Beam 1.0

✓ Preferred

Qwen3-235B-A22B-Instruct-2507

Open in Playground

FAQ

Common questions about Beam 1.0 vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Beam 1.0 or Qwen3-235B-A22B-Instruct-2507?

Beam 1.0 leads the LLM Stats Score 44.6 to 23.7. Beam 1.0 is made by Reflection AI and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507 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%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

Is Beam 1.0 cheaper than Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 is 4.4x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. Qwen3-235B-A22B-Instruct-2507 costs $0.09/M input and $0.55/M output via deepinfra.

What are the context window sizes for Beam 1.0 and Qwen3-235B-A22B-Instruct-2507?

Beam 1.0 supports 1.0M tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507?

Key differences include LLM Stats Score (44.6 vs 23.7), context window (1.0M vs 262K), input pricing ($0.40 vs $0.09/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Qwen3-235B-A22B-Instruct-2507?

Beam 1.0 is developed by Reflection AI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

Beam 1.0 vs Qwen3-235B-A22B-Instruct-2507