BlogLLM Benchmark Scores as Published, Side by Side
Enterprise Reliability Score: Results as Published
Every result the catalog holds for Enterprise Reliability Score: 3 models from 3 developers, read from 1 page. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.
Area Instruction FollowingMaintainer AI21 LabsIntroduced 2026Data version 2026103001, as of 2026-10-30
The Enterprise Reliability Score is an average that AI21 Labs publishes over its instruction-following benchmarks (IFBench, COLLIE, IFEval) and the FACTS grounding benchmark; it summarises steerability and context faithfulness on one 0 to 1 scale.
Not checked against a maintainer's page.
Enterprise Reliability Score (average, 0 to 1)
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| Qwen3-30B-A3B-Instruct-2507Alibaba, released 2025-07-30 | 0.51 | AI21 Labs, AI21 Jamba2 Mini model cardchecked 2026-10-15 | - |
| Ministral 3 14B Instruct 2512Mistral AI, released 2025-12-02 | 0.44 | AI21 Labs, AI21 Jamba2 Mini model cardchecked 2026-10-15 | - |
| Nemotron 3 Nano 30B-A3BNVIDIA, released 2025-12-15 | 0.5 | AI21 Labs, AI21 Jamba2 Mini model cardchecked 2026-10-15 | Effort: non-thinking |
Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.