Who ranks #1 on the IFEval leaderboard?
As of August 20, 2026, Qwen3.5-27B by Qwen ranks #1 on IFEval at 95%. API pricing is $0.30/M input and $2.40/M output.
As of August 20, 2026, Qwen3.5-27B is #1 for IFEval at 95%. Ranked by IFEval, which checks whether the model followed the prompt (format, length, constraints). That is instruction-following, not 'sounds good.' 49 models in this index have a published IFEval score. Methodology: IFEval (https://github.com/google-research/google-research/tree/master/instruction_following_eval). IFEval leaderboard: rank models by IFEval next to live API token prices. Official methodology: IFEval (https://github.com/google-research/google-research/tree/master/instruction_following_eval).
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As of August 20, 2026, Qwen3.5-27B by Qwen is #1 for IFEval at 95%. Ranked by IFEval, which checks whether the model followed the prompt (format, length, constraints). That is instruction-following, not 'sounds good.' This board also tracks IFEval. Next on the same board: Qwen3.7-Plus and Qwen3.7 Max. This ifeval leaderboard ranks models by IFEval. Scores come from public evals. Prices are the live API rates in the table above.
Sources: IFEval (https://github.com/google-research/google-research/tree/master/instruction_following_eval); OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | IFEval | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen3.5-27B | 95% | $0.30 | $2.40 |
| 2 | Qwen3.7-Plus | 94.6% | $0.32 | $1.28 |
| 3 | Qwen3.7 Max | 94.3% | $1.25 | $3.75 |
| 4 | Qwen3.6 Plus | 94.3% | $0.50 | $3.00 |
| 5 | o3-mini | 93.9% | $1.10 | $4.40 |
| 6 | Qwen3.5-122B-A10B | 93.4% | $0.40 | $3.20 |
| 7 | Claude 3.7 Sonnet | 93.2% | $3.00 | $15.00 |
| 8 | Qwen3.5-397B-A17B | 92.6% | $0.60 | $3.60 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Qwen3.5-27B by Qwen ranks #1 on IFEval at 95%. API pricing is $0.30/M input and $2.40/M output.
The current IFEval ranking as of August 20, 2026 is 1. Qwen3.5-27B at 95%; 2. Qwen3.7-Plus at 94.6%; 3. Qwen3.7 Max at 94.3%.
Llama 3.2 3B Instruct is the cheapest scored model on this ifeval leaderboard at $0.01/M input and $0.02/M output ($0.03 blended). Qwen3.5-27B still leads IFEval at 95%.
Not automatically. Qwen3.5-27B leads IFEval, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh IFEval against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 20, 2026. Treat it as a current index, not a one-off blog post.
IFEval is a public LLM eval (IFEval, which checks whether the model followed the prompt (format, length, constraints). That is instruction-following, not 'sounds good.'). This page ranks models that have published a score, next to live API prices. Official methodology: IFEval (https://github.com/google-research/google-research/tree/master/instruction_following_eval).
This page is the IFEval leaderboard. Models are sorted by IFEval, with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.
The official IFEval page owns the methodology. This page keeps the published IFEval score next to live API $/M so you can pick a production SKU, not only a trophy number. Source: https://github.com/google-research/google-research/tree/master/instruction_following_eval