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Beam 1.0 vs Gemini 4 Argon

Gemini 4 Argon leads the LLM Stats Score 55.1 to 44.6. Beam 1.0 is 6.7x cheaper per token.

Reflection AI · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 44.6, ranking #4 overall.

In the 2 individual benchmarks reported for both models, Gemini 4 Argon wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Beam 1.0 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

  • cost matters — it's about 6.7x cheaper per token
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 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

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Gemini 4 Argon
Google
Core performance indexes
LLM Stats Score
44.6
#46
55.1
#4
Reasoning
45.5
#37
53.2
#6
Coding
33.7
#39
42.5
#7
Agents
28.8
#53
41.2
#4
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.40 / M
$2.00 / M
Output price
$1.20 / M
$10.00 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Beam 1.0
Gemini 4 Argon
Vision
15.9#105
37.2#8
Tool use
26.4#32
32.3#4
Long context
29.5#5
30.6#3
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 19 for Gemini 4 Argon

2 shared

Beam 1.0 outperforms in 0 benchmarks, while Gemini 4 Argon is better at 2 benchmarks (AutomationBench, DeepSWE 1.1).

Gemini 4 Argon 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

Beam 1.0 costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 5.0x cheaper than Gemini 4 Argon ($2.00/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 8.3x cheaper than Gemini 4 Argon ($10.00/1M tokens).

In conclusion, Gemini 4 Argon is more expensive than Beam 1.0.*

* 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
Google
Gemini 4 Argon
Input tokens$2.00
Output tokens$10.00
Best providerGoogle
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Gemini 4 Argon 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
Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Beam 1.0 does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

Gemini 4 Argon

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Gemini 4 Argon 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

Gemini 4 Argon

Proprietary

Closed source

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Gemini 4 Argon was released on 2026-09-30.

Beam 1.0 is 1 month newer than Gemini 4 Argon.

Beam 1.0

Oct 16, 2026

4 days ago

2w newer
Gemini 4 Argon

Sep 30, 2026

2 weeks ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Gemini 4 Argon'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 Gemini 4 Argon's cutoff date.

Beam 1.0

Jun 2026

Gemini 4 Argon

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. Gemini 4 Argon is available from Google.

Beam 1.0

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

Gemini 4 Argon

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M
* 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 Gemini 4 Argon side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Gemini 4 Argon
Open in Playground

FAQ

Common questions about Beam 1.0 vs Gemini 4 Argon.

Which is better, Beam 1.0 or Gemini 4 Argon?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 44.6. Beam 1.0 is made by Reflection AI and Gemini 4 Argon is made by Google. 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 Gemini 4 Argon 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%. Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%.

Is Beam 1.0 cheaper than Gemini 4 Argon?

Beam 1.0 is 5.0x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. Gemini 4 Argon costs $2.00/M input and $10.00/M output via google.

What are the context window sizes for Beam 1.0 and Gemini 4 Argon?

Beam 1.0 supports 1.0M tokens and Gemini 4 Argon 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 Gemini 4 Argon?

Key differences include LLM Stats Score (44.6 vs 55.1), input pricing ($0.40 vs $2.00/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Gemini 4 Argon?

Beam 1.0 is developed by Reflection AI and Gemini 4 Argon is developed by Google.

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