IFBench
Precise instruction following on unseen constraints. Run by Artificial Analysis.
As of 25 Oct 2026, Grok 4.3 leads IFBench on BenchLeader with 83.3%, ahead of MiniMax M3 at 82.9%, across 423 model configurations with a published result.
- Published by
- Artificial Analysis
- Category
- Instruction following
- Index weight
- 1.0
- Models
- 423
- Data as of
- 25 Oct 2026
- Newest result
- 23 Oct 2026
Source: Artificial Analysis (artificialanalysis.ai). Data taken from the public leaderboard.
What the test looks like
IFBench tests precise instruction following with constraints the model has not seen before, such as unusual formatting or counting rules, applied to ordinary writing tasks.
How it is scored
Percent of instructions satisfied, verified programmatically; run by Artificial Analysis.
What to keep in mind
It measures compliance with explicit rules, which is what makes a model reliable in pipelines, but not judgment about what the user meant.
- 1Grok 4.3 (medium)83.3%
- 2MiniMax M382.9%
- 3Nemotron 3 Ultra 550B A55B (thinking)81.4%
- 4Grok 4.3 (high)81.3%
- 5Grok 4.20 (thinking)81.2%
- 6Grok 4.3 (low)81.0%
- 7Qwen3.7 (max)80.5%
- 8Nemotron Cascade 2 30B A3B80.4%
- 9MiMo-V2.5-Pro (thinking)79.9%
- 10Nova 2.0 Pro Preview (low)79.6%
- 11DeepSeek V4 Flash 0420 (max)79.2%
- 12Nova 2.0 Pro Preview (medium)79.0%
- 13Qwen3.5 397B A17B (thinking)78.8%
- 14Gemini 3 Flash (thinking)78.0%
- 15Qwen3.7 Plus78.0%
| # | ||||
|---|---|---|---|---|
| 1 | 83.3% | 58.7 | 2026-04-30 | |
| 2 | 82.9% | 56.4 | 2026-06-01 | |
| 3 | 81.4% | 55.7 | 2026-06-04 | |
| 4 | 81.3% | 57.0 | 2026-04-30 | |
| 5 | 81.2% | 58.6 | 2026-04-07 | |
| 6 | 81.0% | 56.9 | 2026-04-30 | |
| 7 | 80.5% | 60.6 | 2026-05-19 | |
| 8 | 80.4% | 49.6 | 2026-03-19 | |
| 9 | 79.9% | 57.0 | 2026-04-22 | |
| 10 | 79.6% | 49.3 | 2025-11-27 | |
| 11 | 79.2% | 57.0 | 2026-04-24 | |
| 12 | 79.0% | 50.5 | 2025-11-27 | |
| 13 | 78.8% | 55.1 | 2026-02-16 | |
| 14 | 78.0% | 59.1 | 2025-12-17 | |
| 15 | 78.0% | 58.5 | 2026-06-01 | |
| 16 | 77.6% | 59.4 | 2025-12-11 | |
| 17 | 77.2% | 53.7 | 2026-03-03 | |
| 18 | 77.1% | 60.5 | 2026-02-19 | |
| 19 | 76.6% | 62.3 | 2026-04-20 | |
| 20 | 76.5% | 59.6 | 2026-04-24 | |
| 21 | 76.3% | 63.1 | 2026-05-19 | |
| 22 | 76.3% | 56.6 | 2026-04-07 | |
| 23 | 76.0% | 59.4 | 2026-04-20 | |
| 24 | 75.9% | 64.3 | 2026-04-08 | |
| 25 | 75.9% | 54.2 | 2026-03-17 | |
| 26 | 75.8% | 66.1 | 2026-04-23 | |
| 27 | 75.7% | 55.6 | 2026-03-18 | |
| 28 | 75.7% | 52.6 | 2026-02-24 | |
| 29 | 75.6% | 54.7 | 2026-02-24 | |
| 30 | 75.6% | 52.0 | 2026-04-02 | |
| 31 | 75.4% | 60.7 | 2025-12-11 | |
| 32 | 75.4% | 54.1 | 2025-08-07 | |
| 33 | 75.4% | 63.8 | 2026-02-05 | |
| 34 | 75.2% | 58.8 | 2026-04-02 | |
| 35 | 74.6% | 62.8 | 2026-05-19 | |
| 36 | 74.2% | 57.5 | 2025-09-23 | |
| 37 | 74.0% | 64.7 | 2026-03-05 | |
| 38 | 74.0% | 50.5 | 2026-05-20 | |
| 39 | 73.5% | 50.5 | 2026-06-03 | |
| 40 | 73.5% | 55.4 | 2026-04-24 | |
| 41 | 73.3% | 62.3 | 2026-06-16 | |
| 42 | 73.3% | 56.3 | 2026-03-17 | |
| 43 | 73.2% | 55.5 | 2026-03-15 | |
| 44 | 73.1% | 57.9 | 2025-08-07 | |
| 45 | 72.9% | 57.7 | 2025-11-13 | |
| 46 | 72.7% | 68.0 | 2026-07-09 | |
| 47 | 72.5% | 52.8 | 2026-02-24 | |
| 48 | 72.5% | 50.0 | 2026-04-02 | |
| 49 | 72.3% | 58.9 | 2026-02-11 | |
| 50 | 72.3% | 50.8 | 2025-10-26 | |
| 51 | 71.8% | 51.6 | 2025-12-16 | |
| 52 | 71.6% | 65.3 | 2026-04-23 | |
| 53 | 71.6% | 53.6 | 2026-02-12 | |
| 54 | 71.5% | 58.0 | 2026-05-05 | |
| 55 | 71.5% | 50.6 | 2026-03-11 | |
| 56 | 71.4% | 59.5 | 2025-04-16 | |
| 57 | 71.3% | 57.8 | 2026-04-24 | |
| 58 | 71.2% | 64.4 | 2026-07-09 | |
| 59 | 71.2% | 43.2 | 2026-04-06 | |
| 60 | 71.2% | 53.8 | 2025-08-07 |
More instruction following benchmarks · All LLM benchmarks
Cite as: BenchLeader, “IFBench leaderboard”, data as of 25 Oct 2026, https://www.benchleader.com/benchmarks/aa_ifbench.
IFBench: questions
- What does IFBench measure?
- IFBench tests precise instruction following with constraints the model has not seen before, such as unusual formatting or counting rules, applied to ordinary writing tasks. Scores are reported in percent of tasks solved; higher is better.
- Which AI model leads IFBench?
- Grok 4.3 leads IFBench with 83.3% as of 25 Oct 2026, ahead of MiniMax M3 at 82.9%.
- How many models have IFBench results?
- 423 model configurations have a IFBench result on BenchLeader, all taken from Artificial Analysis.
- Who runs IFBench and how often is it updated?
- IFBench is published by Artificial Analysis. BenchLeader re-reads the published results once a day and records the date each result was published.
- Does IFBench count toward the BenchLeader Index?
- Yes. IFBench contributes to the instruction following category of the BenchLeader Index, normalised so that 50 is the average of the evaluated models.