REBeam 1.0 501B A23B Open vs 
GPT-3.5 Turbo Paid
Beam 1.0 501B A23B vs GPT-3.5 Turbo compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
GPT-3.5 Turbo — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$1 /M outputNo per-token fees if you self-host
$1.5 /M outputManaged API (no infra to run)
Beam 1.0 501B A23B vs GPT-3.5 Turbo specs
| Spec | Beam 1.0 501B A23B | GPT-3.5 Turbo | Winner |
|---|---|---|---|
| Maker | Reflection | OpenAI | – |
| Type | Open-weight | Proprietary | REBeam 1.0 501B A23B |
| Context window | 1M tokens | 16K tokens | REBeam 1.0 501B A23B |
| Input price | $0.25/M · free self-host | $0.5/M | REBeam 1.0 501B A23B |
| Output price | $1/M · free self-host | $1.5/M | REBeam 1.0 501B A23B |
| Vision / multimodal | No | No | – |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | REBeam 1.0 501B A23B |
| License | Open weights | Proprietary | REBeam 1.0 501B A23B |
Price gap & when to choose each
Beam 1.0 501B A23B is ~1.5× cheaper than GPT-3.5 Turbo on output tokens ($1 vs $1.5 per M tokens).
- You want to self-host or run on your cloud
- You need the longer 1M context window
- You prioritize data privacy & control
- You want the lowest operating costs
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Beam 1.0 501B A23B | GPT-3.5 Turbo |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: Beam 1.0 501B A23B vs GPT-3.5 Turbo
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Beam 1.0 501B A23B and GPT-3.5 Turbo score
| Criterion | Beam 1.0 501B A23B | GPT-3.5 Turbo |
|---|---|---|
| Cost-efficiency | 4.5 | 4.5 |
| Context window | 5.0 | 2.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
Beam 1.0 501B A23B Open
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
GPT-3.5 Turbo Paid
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Frequently asked questions
Is Beam 1.0 501B A23B as good as GPT-3.5 Turbo?
Beam 1.0 501B A23B is open-weight and competitive on many tasks, but GPT-3.5 Turbo may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run Beam 1.0 501B A23B locally?
Yes. Beam 1.0 501B A23B has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-3.5 Turbo is API-only and cannot be self-hosted.
How much cheaper is Beam 1.0 501B A23B?
Beam 1.0 501B A23B costs $1/M output vs $1.5/M for GPT-3.5 Turbo — roughly 2x cheaper via API, and free if you self-host.
Beam 1.0 501B A23B vs GPT-3.5 Turbo — which should I pick in 2026?
Choose Beam 1.0 501B A23B if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-3.5 Turbo if you want frontier capability through a managed API with zero infrastructure to run.
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