Beam 1.0 vs Mistral Small
Comparing Beam 1.0 and Mistral Small across benchmarks, pricing, and capabilities.
Reflection AI · Mistral AI · Updated for 2026
Which is better?
Beam 1.0 and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small is roughly 2.0x 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 Mistral Small
- cost matters — it's about 2.0x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
22 reported for Beam 1.0 · 0 for Mistral Small
Beam 1.0 and Mistral Smalldon'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 2.0x more expensive than Mistral Small ($0.20/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 2.0x more expensive than Mistral Small ($0.60/1M tokens).
In conclusion, Beam 1.0 is more expensive than Mistral Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 479.3B more parameters than Mistral Small, making it 2178.6% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Mistral Small's 32,768 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while Mistral Small is limited to 32,768 tokens.
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Mistral Small was released on 2024-09-17.
Beam 1.0 is 25 months newer than Mistral Small.
Oct 16, 2026
3 days ago
2.1yr newerSep 17, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Mistral Small'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 Small's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Mistral Small is available from Mistral AI.
Beam 1.0
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Mistral Small.