Beam 1.0 vs Devstral Small 1.1
Beam 1.0 leads the LLM Stats Score 44.6 to 8.6. Devstral Small 1.1 is 4.0x 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 8.6, 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, Devstral Small 1.1 is roughly 4.0x 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
- 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
- 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 Devstral Small 1.1
- cost matters — it's about 4.0x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
22 reported for Beam 1.0 · 1 for Devstral Small 1.1
Beam 1.0 outperforms in 1 benchmarks (SWE-Bench Verified), while Devstral Small 1.1 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 4.0x more expensive than Devstral Small 1.1 ($0.10/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 4.0x more expensive than Devstral Small 1.1 ($0.30/1M tokens).
In conclusion, Beam 1.0 is more expensive than Devstral Small 1.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 477.3B more parameters than Devstral Small 1.1, making it 1988.8% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Devstral Small 1.1's 128,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while Devstral Small 1.1 is limited to 128,000 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 Devstral Small 1.1 was released on 2025-07-11.
Beam 1.0 is 15 months newer than Devstral Small 1.1.
Oct 16, 2026
3 days ago
1.3yr newerJul 11, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Devstral Small 1.1'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 Devstral Small 1.1's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Devstral Small 1.1 is available from Mistral AI.
Beam 1.0
Devstral Small 1.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Devstral Small 1.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Devstral Small 1.1.