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Beam 1.0 vs DeepSeek R1 Distill Qwen 32B

Beam 1.0 leads the LLM Stats Score 44.6 to 12.5. DeepSeek R1 Distill Qwen 32B is 4.4x cheaper per token.

Reflection AI · DeepSeek · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 12.5, 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, DeepSeek R1 Distill Qwen 32B is roughly 4.4x 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
  • 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 DeepSeek R1 Distill Qwen 32B

  • cost matters — it's about 4.4x cheaper per token

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
DeepSeek R1 Distill Qwen 32B
DeepSeek
Core performance indexes
LLM Stats Score
44.6
#46
12.5
#273
Reasoning
45.5
#37
12.8
#263
Coding
33.7
#39
8.0
#204
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.40 / M
$0.12 / M
Output price
$1.20 / M
$0.18 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Beam 1.0
DeepSeek R1 Distill Qwen 32B
Math
35.1#45
15.0#229
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 4 for DeepSeek R1 Distill Qwen 32B

2 shared

Beam 1.0 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while DeepSeek R1 Distill Qwen 32B 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

DeepSeek R1 Distill Qwen 32B costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 3.3x more expensive than DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 6.7x more expensive than DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens).

In conclusion, Beam 1.0 is more expensive than DeepSeek R1 Distill Qwen 32B.*

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

Lowest available price from all providers
Thu Oct 22 2026 • llm-stats.com
Reflection AI
Beam 1.0
Input tokens$0.40
Output tokens$1.20
Best providerTogether
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

468.5B diff

Beam 1.0 has 468.5B more parameters than DeepSeek R1 Distill Qwen 32B, making it 1428.4% larger.

Reflection AI
Beam 1.0
501.3Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
501.3B
Beam 1.0
32.8B
DeepSeek R1 Distill Qwen 32B

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Thu Oct 22 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while DeepSeek R1 Distill Qwen 32B uses MIT.

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

Beam 1.0

Apache 2.0

Open weights

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while DeepSeek R1 Distill Qwen 32B was released on 2025-01-20.

Beam 1.0 is 21 months newer than DeepSeek R1 Distill Qwen 32B.

Beam 1.0

Oct 16, 2026

4 days ago

1.7yr newer
DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while DeepSeek R1 Distill Qwen 32B'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 DeepSeek R1 Distill Qwen 32B's cutoff date.

Beam 1.0

Jun 2026

DeepSeek R1 Distill Qwen 32B

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. DeepSeek R1 Distill Qwen 32B is available from DeepInfra.

Beam 1.0

together logo
Together
Input Price:Input: $0.40/1MOutput Price:Output: $1.20/1M
reflection logo
Unknown Organization

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M
* 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 DeepSeek R1 Distill Qwen 32B side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
DeepSeek R1 Distill Qwen 32B
Open in Playground

FAQ

Common questions about Beam 1.0 vs DeepSeek R1 Distill Qwen 32B.

Which is better, Beam 1.0 or DeepSeek R1 Distill Qwen 32B?

Beam 1.0 leads the LLM Stats Score 44.6 to 12.5. Beam 1.0 is made by Reflection AI and DeepSeek R1 Distill Qwen 32B is made by DeepSeek. 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 DeepSeek R1 Distill Qwen 32B 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%. DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%.

Is Beam 1.0 cheaper than DeepSeek R1 Distill Qwen 32B?

DeepSeek R1 Distill Qwen 32B is 3.3x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra.

What are the context window sizes for Beam 1.0 and DeepSeek R1 Distill Qwen 32B?

Beam 1.0 supports 1.0M tokens and DeepSeek R1 Distill Qwen 32B supports 128K 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 DeepSeek R1 Distill Qwen 32B?

Key differences include LLM Stats Score (44.6 vs 12.5), context window (1.0M vs 128K), input pricing ($0.40 vs $0.12/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and DeepSeek R1 Distill Qwen 32B?

Beam 1.0 is developed by Reflection AI and DeepSeek R1 Distill Qwen 32B is developed by DeepSeek.

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