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Beam 1.0 vs DeepSeek-V4.1-Flash

DeepSeek-V4.1-Flash leads the LLM Stats Score 50.0 to 44.6. DeepSeek-V4.1-Flash is 1.8x cheaper per token.

Reflection AI · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 50.0 to 44.6, ranking #19 overall.

In the 6 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 6; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash is roughly 1.8x 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 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-V4.1-Flash

  • overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 6 exact shared results
  • cost matters — it's about 1.8x cheaper per token

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
DeepSeek-V4.1-Flash
DeepSeek
Core performance indexes
LLM Stats Score
44.6
#46
50.0
#19
Reasoning
45.5
#37
48.0
#22
Coding
33.7
#39
40.5
#10
Agents
28.8
#53
38.3
#11
Cost, coverage & limits
Benchmark wins
0 of 6
6 of 6
Input price
$0.40 / M
$0.22 / M
Output price
$1.20 / M
$0.66 / M
Context window
1,048,576
1,040,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Beam 1.0
DeepSeek-V4.1-Flash
Math
35.1#45
35.6#43
Vision
15.9#105
30.6#37
Tool use
26.4#32
32.3#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 20 for DeepSeek-V4.1-Flash

6 shared

Beam 1.0 outperforms in 0 benchmarks, while DeepSeek-V4.1-Flash is better at 6 benchmarks (AutomationBench, DeepSWE 1.1, GPQA, Humanity's Last Exam, Humanity's Last Exam (with tools), Terminal-Bench 2.1).

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Wed Oct 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4.1-Flash costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 1.8x more expensive than DeepSeek-V4.1-Flash ($0.22/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 1.8x more expensive than DeepSeek-V4.1-Flash ($0.66/1M tokens).

In conclusion, Beam 1.0 is more expensive than DeepSeek-V4.1-Flash.*

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

Lowest available price from all providers
Wed Oct 21 2026 • llm-stats.com
Reflection AI
Beam 1.0
Input tokens$0.40
Output tokens$1.20
Best providerTogether
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Notice missing or incorrect data?

Model Size

Parameter count comparison

261.9B diff

DeepSeek-V4.1-Flash has 261.9B more parameters than Beam 1.0, making it 52.2% larger.

Reflection AI
Beam 1.0
501.3Bparameters
DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
501.3B
Beam 1.0
763.2B
DeepSeek-V4.1-Flash

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to DeepSeek-V4.1-Flash's 1,040,000 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while Beam 1.0 is limited to 131,072 tokens.

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Wed Oct 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash supports multimodal inputs, whereas Beam 1.0 does not.

DeepSeek-V4.1-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while DeepSeek-V4.1-Flash 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-V4.1-Flash

MIT

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while DeepSeek-V4.1-Flash was released on 2026-09-10.

Beam 1.0 is 1 month newer than DeepSeek-V4.1-Flash.

Beam 1.0

Oct 16, 2026

3 days ago

1mo newer
DeepSeek-V4.1-Flash

Sep 10, 2026

1 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while DeepSeek-V4.1-Flash'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-V4.1-Flash's cutoff date.

Beam 1.0

Jun 2026

DeepSeek-V4.1-Flash

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, Novita.

Beam 1.0

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

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* 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-V4.1-Flash side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
DeepSeek-V4.1-Flash
Open in Playground

FAQ

Common questions about Beam 1.0 vs DeepSeek-V4.1-Flash.

Which is better, Beam 1.0 or DeepSeek-V4.1-Flash?

DeepSeek-V4.1-Flash leads the LLM Stats Score 50.0 to 44.6. Beam 1.0 is made by Reflection AI and DeepSeek-V4.1-Flash 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-V4.1-Flash 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-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%.

Is Beam 1.0 cheaper than DeepSeek-V4.1-Flash?

DeepSeek-V4.1-Flash is 1.8x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks.

What are the context window sizes for Beam 1.0 and DeepSeek-V4.1-Flash?

Beam 1.0 supports 1.0M tokens and DeepSeek-V4.1-Flash 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 DeepSeek-V4.1-Flash?

Key differences include LLM Stats Score (44.6 vs 50.0), context window (1.0M vs 1.0M), input pricing ($0.40 vs $0.22/M), multimodal support (no vs yes), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and DeepSeek-V4.1-Flash?

Beam 1.0 is developed by Reflection AI and DeepSeek-V4.1-Flash is developed by DeepSeek.

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