Model tracker / Decision models / AWS Strands Labs
Strands Decider E2B
Smallest open-source decision model on Gemma 4 for agent workflows; reads text only
Strands Decider E2B is an open-weight decision model from AWS Strands Labs (Apache 2.0, plus data and training code, E2B, a LoRA adapter on Gemma 4 E2B parameters): it answers typed questions, such as yes or no, pick one or pick several, with probabilities instead of writing text. There's no hosted version: you run it on your own hardware. JevBench, the main independent benchmark, doesn't list it yet.
- Made by
- AWS Strands Labs
- Weights
- Open, Apache 2.0, plus data and training code
- Size
- E2B, a LoRA adapter on Gemma 4 E2B
- Where
- Self-host only
- Images
- No, text only
- Fine-tuning
- Full recipe published
Strands Decider E2B price
US dollars per million input tokens. Decision models don't write text, so none of the hosted ones charge for output.
| Where | Input | Output | Notes | Checked |
|---|---|---|---|---|
| Self-host only | Self-host | – | – | 2026-10-27 |
Strands Decider E2B speed
| Measure | Result | Reported by |
|---|---|---|
| Reported speed | 102 ms median per JevBench question on one H100 | AWS Strands Labs |
Measured by the maker on its own hardware; JevBench doesn't list this model yet.
Decision models like Strands Decider E2B
Every other decision model we track, by independent JevBench score.
| Model | Input / M | JevBench | Weights |
|---|---|---|---|
| Strands Decider E2B | Self-host | – | Open |
| Mammoth-1 Baseten (Base Labs) | Free | 85.2 | Open |
| Perplexity Decider V1.2 Perplexity | $0.02 | 80.8 | Open |
| d1-ultra Liquid AI | $0.042 | 80.5 | Closed |
| Kev-27B Jared Palmer | Self-host | 78.9 | Open |
| Clef Cloudflare | $0.24 | 75.3 | Open |
| Jev 1.14 TypeSafe AI | $0.042 | 75.0 | Closed |
| d1 Liquid AI | $0.02 | 74.4 | Closed |
| Mercury Decide Inception | $0.02 | 73.6 | Closed |
| OpenAI Decisions (GPT-6 Luna) OpenAI | $0.10 | 73.5 | Closed |
| Microsoft-Decision-1 Microsoft | $0.042 | 70.8 | Closed |
| Elephant-1 Baseten (Base Labs) | Free | 70.2 | Open |
| Strands Decider 26B-A4B AWS Strands Labs | Self-host | 66.7 | Open |
| Clef-flash Cloudflare | $0.038 | 63.8 | Open |
| Perplexity Decider Flash V1.2 Perplexity | $0.01 | 61.7 | Open |
| Clef-omni Cloudflare | $0.15 | 58.3 | Open |
| d1-3B Liquid AI | Self-host | 49.5 | Open |
| d1-omni-600M (experimental) Liquid AI | Self-host | 32.8 | Open |
| Laya Convai Innovations | Free | 32.5 | Open |
| CLM-8B Stanford and NVIDIA | Self-host | 20.1 | Open |
| Clairic Cloudflare | $0.10 | – | Closed |
| Kev-0.8B Jared Palmer | Self-host | – | Open |
| Kev-4B Jared Palmer | Self-host | – | Open |
| Kev-9B Jared Palmer | Self-host | – | Open |
| Strands Decider 12B AWS Strands Labs | Self-host | – | Open |
| Strands Decider 2B AWS Strands Labs | Self-host | – | Open |
| Strands Decider E4B AWS Strands Labs | Self-host | – | Open |
Compare them all in the decision models table →
Strands Decider E2B FAQ
How much does Strands Decider E2B cost?
Strands Decider E2B has no hosted, per-token price: you download it and run it yourself, so the cost is your own compute.
Is Strands Decider E2B open weight?
Yes. AWS Strands Labs publishes the weights under Apache 2.0, plus data and training code, so you can run and fine-tune it yourself.
How fast is Strands Decider E2B?
AWS Strands Labs reports 102 ms median per JevBench question on one H100, measured on its own hardware.
How does Strands Decider E2B compare with Jev?
JevBench doesn't list Strands Decider E2B yet, so there's no independent comparison. Jev costs $0.042 per million input tokens; Strands Decider E2B is self-host only.