Beam 1.0 vs Llama 3.1 405B Instruct
Beam 1.0 leads the LLM Stats Score 44.6 to 14.2. Beam 1.0 is 1.5x cheaper per token.
Reflection AI · Meta · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 14.2, 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, Beam 1.0 is roughly 1.5x 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
- cost matters — it's about 1.5x cheaper per token
- 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 Llama 3.1 405B Instruct
- you want predictable pricing at $0.89/M input and $0.89/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Beam 1.0 · 18 for Llama 3.1 405B Instruct
Beam 1.0 outperforms in 1 benchmarks (GPQA), while Llama 3.1 405B Instruct is better at 0 benchmarks.
Beam 1.0 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Beam 1.0 ($0.40/1M tokens) is 2.2x cheaper than Llama 3.1 405B Instruct ($0.89/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 1.3x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).
In conclusion, Llama 3.1 405B Instruct is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 96.3B more parameters than Llama 3.1 405B Instruct, making it 23.8% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while Llama 3.1 405B Instruct is limited to 128,000 tokens.
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Llama 3.1 405B Instruct uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Llama 3.1 405B Instruct was released on 2024-07-23.
Beam 1.0 is 27 months newer than Llama 3.1 405B Instruct.
Oct 16, 2026
3 days ago
2.2yr newerJul 23, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Llama 3.1 405B Instruct'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 Llama 3.1 405B Instruct's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate.
Beam 1.0
Llama 3.1 405B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Llama 3.1 405B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Llama 3.1 405B Instruct.