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Beam 1.0 vs DeepSeek-V4-Flash-0731

Beam 1.0 and DeepSeek-V4-Flash-0731 are closely matched at 44.6 and 43.0 on the LLM Stats Score. DeepSeek-V4-Flash-0731 is 6.7x cheaper per token.

Reflection AI · DeepSeek · Updated for 2026

Which is better?

Beam 1.0 and DeepSeek-V4-Flash-0731 are closely matched on the overall LLM Stats Score at 44.6 and 43.0.

The models split the 2 individual benchmarks reported for both models evenly.

On price, DeepSeek-V4-Flash-0731 is roughly 6.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Beam 1.0

  • you want the most recent training data — it shipped Oct 2026

Choose DeepSeek-V4-Flash-0731

  • cost matters — it's about 6.7x cheaper per token

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
DeepSeek-V4-Flash-0731
DeepSeek
Core performance indexes
LLM Stats Score
44.6
#46
43.0
#56
Reasoning
45.5
#37
41.1
#63
Coding
33.7
#39
30.8
#58
Agents
28.8
#53
28.9
#51
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.40 / M
$0.06 / M
Output price
$1.20 / M
$0.18 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Beam 1.0
DeepSeek-V4-Flash-0731
Tool use
26.4#32
23.3#46
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 9 for DeepSeek-V4-Flash-0731

2 shared

Beam 1.0 outperforms in 1 benchmarks (AutomationBench), while DeepSeek-V4-Flash-0731 is better at 1 benchmark (Terminal-Bench 2.1).

Both models are evenly matched across the benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-0731 costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 6.7x more expensive than DeepSeek-V4-Flash-0731 ($0.06/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 6.7x more expensive than DeepSeek-V4-Flash-0731 ($0.18/1M tokens).

In conclusion, Beam 1.0 is more expensive than DeepSeek-V4-Flash-0731.*

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

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
Reflection AI
Beam 1.0
Input tokens$0.40
Output tokens$1.20
Best providerTogether
DeepSeek
DeepSeek-V4-Flash-0731
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

197.3B diff

Beam 1.0 has 197.3B more parameters than DeepSeek-V4-Flash-0731, making it 64.9% larger.

Reflection AI
Beam 1.0
501.3Bparameters
DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
501.3B
Beam 1.0
304.0B
DeepSeek-V4-Flash-0731

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 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-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Fri Oct 23 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while DeepSeek-V4-Flash-0731 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-Flash-0731

MIT

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while DeepSeek-V4-Flash-0731 was released on 2026-07-31.

Beam 1.0 is 3 months newer than DeepSeek-V4-Flash-0731.

Beam 1.0

Oct 16, 2026

3 days ago

2mo newer
DeepSeek-V4-Flash-0731

Jul 31, 2026

2 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while DeepSeek-V4-Flash-0731'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-Flash-0731's cutoff date.

Beam 1.0

Jun 2026

DeepSeek-V4-Flash-0731

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks.

Beam 1.0

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

DeepSeek-V4-Flash-0731

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.44/1MOutput Price:Output: $1.32/1M
* 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-Flash-0731 side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
DeepSeek-V4-Flash-0731
Open in Playground

FAQ

Common questions about Beam 1.0 vs DeepSeek-V4-Flash-0731.

Which is better, Beam 1.0 or DeepSeek-V4-Flash-0731?

Beam 1.0 and DeepSeek-V4-Flash-0731 are closely matched on the LLM Stats Score at 44.6 and 43.0. Beam 1.0 is made by Reflection AI and DeepSeek-V4-Flash-0731 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-Flash-0731 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-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%.

Is Beam 1.0 cheaper than DeepSeek-V4-Flash-0731?

DeepSeek-V4-Flash-0731 is 6.7x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. DeepSeek-V4-Flash-0731 costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Beam 1.0 and DeepSeek-V4-Flash-0731?

Beam 1.0 supports 1.0M tokens and DeepSeek-V4-Flash-0731 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-Flash-0731?

Key differences include LLM Stats Score (44.6 vs 43.0), input pricing ($0.40 vs $0.06/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and DeepSeek-V4-Flash-0731?

Beam 1.0 is developed by Reflection AI and DeepSeek-V4-Flash-0731 is developed by DeepSeek.

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