Beam 1.0 vs Mistral NeMo Instruct
Beam 1.0 leads the LLM Stats Score 44.6 to -5.2. Mistral NeMo Instruct is 27.6x cheaper per token.
Reflection AI · Mistral AI · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to -5.2, ranking #46 overall.
On price, Mistral NeMo Instruct is roughly 27.6x 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 — it leads those capability indexes
- 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 Mistral NeMo Instruct
- cost matters — it's about 27.6x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
22 reported for Beam 1.0 · 8 for Mistral NeMo Instruct
Beam 1.0 and Mistral NeMo Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 21.1x more expensive than Mistral NeMo Instruct ($0.02/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 40.0x more expensive than Mistral NeMo Instruct ($0.03/1M tokens).
In conclusion, Beam 1.0 is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 489.3B more parameters than Mistral NeMo Instruct, making it 4077.5% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Mistral NeMo Instruct's 131,072 tokens. Both models can generate responses up to 131,072 tokens.
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Mistral NeMo Instruct was released on 2024-07-18.
Beam 1.0 is 27 months newer than Mistral NeMo Instruct.
Oct 16, 2026
3 days ago
2.2yr newerJul 18, 2024
2.3 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Mistral NeMo 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 Mistral NeMo Instruct's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI.
Beam 1.0
Mistral NeMo Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Mistral NeMo Instruct.