REBeam 1.0 501B A23B Open vs 
GPT-6.1 Terra (batch) Paid
Beam 1.0 501B A23B vs GPT-6.1 Terra (batch) 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-6.1 Terra (batch) — 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
$2.5 /M outputManaged API (no infra to run)
Beam 1.0 501B A23B vs GPT-6.1 Terra (batch) specs
| Spec | Beam 1.0 501B A23B | GPT-6.1 Terra (batch) | Winner |
|---|---|---|---|
| Maker | Reflection | OpenAI | – |
| Type | Open-weight | Proprietary | REBeam 1.0 501B A23B |
| Context window | 1M tokens | 1.1M tokens | |
| Input price | $0.25/M · free self-host | $0.5/M | REBeam 1.0 501B A23B |
| Output price | $1/M · free self-host | $2.5/M | REBeam 1.0 501B A23B |
| Vision / multimodal | No | Yes | |
| 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 ~2.5× cheaper than GPT-6.1 Terra (batch) on output tokens ($1 vs $2.5 per M tokens).
- You want to self-host or run on your cloud
- 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 need the longer 1.1M context window
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Beam 1.0 501B A23B | GPT-6.1 Terra (batch) |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✓ |
Benchmarks: Beam 1.0 501B A23B vs GPT-6.1 Terra (batch)
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-6.1 Terra (batch) score
| Criterion | Beam 1.0 501B A23B | GPT-6.1 Terra (batch) |
|---|---|---|
| Cost-efficiency | 4.5 | 4.5 |
| Context window | 5.0 | 5.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
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-6.1 Terra (batch) Paid
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
Frequently asked questions
Is Beam 1.0 501B A23B as good as GPT-6.1 Terra (batch)?
Beam 1.0 501B A23B is open-weight and competitive on many tasks, but GPT-6.1 Terra (batch) 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-6.1 Terra (batch) 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 $2.5/M for GPT-6.1 Terra (batch) — roughly 3x cheaper via API, and free if you self-host.
Beam 1.0 501B A23B vs GPT-6.1 Terra (batch) — 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-6.1 Terra (batch) if you want frontier capability through a managed API with zero infrastructure to run.
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