Beam 1.0 vs Qwen2.5 7B Instruct
Beam 1.0 leads the LLM Stats Score 44.6 to 2.0. Qwen2.5 7B Instruct is 2.0x cheaper per token.
Reflection AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 2.0, ranking #46 overall.
In the 2 individual benchmarks reported for both models, Beam 1.0 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen2.5 7B Instruct 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
- 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 2 of 2 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 Qwen2.5 7B Instruct
- cost matters — it's about 2.0x cheaper per token
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 · 14 for Qwen2.5 7B Instruct
Beam 1.0 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Qwen2.5 7B 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 1.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 4.0x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).
In conclusion, Beam 1.0 is more expensive than Qwen2.5 7B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 493.7B more parameters than Qwen2.5 7B Instruct, making it 6487.4% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Qwen2.5 7B Instruct's 131,072 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while Qwen2.5 7B Instruct is limited to 8,192 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 Qwen2.5 7B Instruct was released on 2024-09-19.
Beam 1.0 is 25 months newer than Qwen2.5 7B Instruct.
Oct 16, 2026
3 days ago
2.1yr newerSep 19, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Qwen2.5 7B 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 Qwen2.5 7B Instruct's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Qwen2.5 7B Instruct is available from Together.
Beam 1.0
Qwen2.5 7B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Qwen2.5 7B Instruct.