IFEval

🏆 Leaderboard

As of August 31, 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.' 64 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).

Updated August 31, 2026345 models36 providers

IFEval vs price

63 models. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price — a dot under it is a worse deal than something on the line.

Best score at each price#1 on this board


Qwen3.5-27BOSS Qwen · Open Source	95%	$2.70
Qwen3.7-Plus Qwen · Proprietary	94.6%	$1.60
Qwen3.7 Max Qwen · Proprietary	94.3%	$5.00
Qwen3.6 Plus Qwen · Proprietary	94.3%	$3.50
o3-mini OpenAI · Proprietary	93.9%	$5.50
Qwen3.5-122B-A10BOSS Qwen · Open Source	93.4%	$3.60
Claude 3.7 Sonnet Anthropic · Proprietary	93.2%	$18.00
Qwen3.5-397B-A17BOSS Qwen · Open Source	92.6%	$4.20
Nova Pro Amazon · Proprietary	92.1%	$4.00
Llama 3.3 70B InstructOSS Meta · Open Source	92.1%	$0.40
Qwen3.5-35B-A3BOSS Qwen · Open Source	91.9%	$2.25
Qwen3.5-9BOSS Qwen · Open Source · via OpenRouter	91.5%	$0.25
Gemma 3 27BOSS Google · Open Source	90.4%	$0.30
Nemotron Nano 9B v2OSS NVIDIA · Open Source · via OpenRouter	90.3%	—
Gemma 3 4BOSS Google · Open Source	90.2%	$0.06
Qwen3.5-4BOSS Qwen · Open Source	89.8%	$0.20
Kimi K2-Instruct-0905OSS Moonshot AI · Open Source · via OpenRouter	89.8%	$3.10
Kimi K2 InstructOSS Moonshot AI · Open Source	89.8%	$1.00
Nova Lite Amazon · Proprietary	89.7%	$0.30
LongCat-Flash-ChatOSS Meituan · Open Source	89.7%	$1.50
Llama 3.1 Nemotron Ultra 253B v1OSS NVIDIA · Open Source	89.5%	$2.40
Qwen3-Next-80B-A3B-ThinkingOSS Qwen · Open Source	88.9%	$1.65
Gemma 3 12BOSS Google · Open Source	88.9%	$0.15
Qwen3-235B-A22B-Instruct-2507OSS Qwen · Open Source	88.7%	$0.95
Llama 3.1 405B InstructOSS Meta · Open Source	88.6%	$1.78
Qwen3 VL 235B A22B ThinkingOSS Qwen · Open Source	88.2%	$3.94
GPT-4.5 OpenAI · Proprietary	88.2%	$225.00
Qwen3-235B-A22B-Thinking-2507OSS Qwen · Open Source	87.8%	$3.30
Qwen3 VL 32B ThinkingOSS Qwen · Open Source	87.8%	$0.80
Qwen3 VL 235B A22B InstructOSS Qwen · Open Source	87.8%	$1.79
Qwen3-Next-80B-A3B-InstructOSS Qwen · Open Source	87.6%	$1.65
Llama 3.1 70B InstructOSS Meta · Open Source	87.5%	$0.40
GPT-4.1 OpenAI · Proprietary	87.4%	$10.00
Nova Micro Amazon · Proprietary	87.2%	$0.17
Kimi-k1.5 Moonshot AI · Proprietary	87.2%	$2.65
DeepSeek-V3OSS DeepSeek · Open Source	86.1%	$1.37
Qwen3 VL 30B A3B InstructOSS Qwen · Open Source	85.8%	$0.90
Sarvam-105BOSS Sarvam AI · Open Source	84.8%	$1.60
Qwen3 VL 32B InstructOSS Qwen · Open Source · via OpenRouter	84.7%	$0.52
Qwen2.5 72B InstructOSS Qwen · Open Source	84.1%	$0.75
GPT-4.1 mini OpenAI · Proprietary	84.1%	$2.00
QwQ-32BOSS Qwen · Open Source · via Fireworks	83.9%	$1.80
Qwen3 VL 8B InstructOSS Qwen · Open Source	83.7%	$0.58
Qwen3 VL 8B ThinkingOSS Qwen · Open Source	83.2%	$2.27
Mistral Small 3 24B InstructOSS Mistral · Open Source · via Mistral AI	82.9%	$0.21
Qwen3 VL 4B ThinkingOSS Qwen · Open Source	82.6%	$1.10
Qwen3 VL 4B InstructOSS Qwen · Open Source	82.3%	$0.70
LFM2.5-VL-3BOSS Liquid AI · Open Source	82.3%	$0.15
Qwen3 VL 30B A3B ThinkingOSS Qwen · Open Source	81.7%	$1.20
GPT-4o OpenAI · Proprietary	81%	$12.50

Showing 1–50 of 345 models

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The index

All Large Language Models

345 models across 36 providers. Search or jump to a lab — every model page stays linked here.

Cursor

2 models

Composer 2 Composer 2 Fast

xAI

17 models

Grok 4.6 Grok 4.5 Grok 4.3 Grok-4.1 Grok-4.1 Fast Non-Reasoning Grok-4.1 Fast Reasoning Grok-4.1 Thinking Grok 4 Fast Grok Code Fast 1 Grok-4 Fast Non-Reasoning Grok-4 Fast Reasoning Grok-4 Grok-3 Grok-3 Mini Grok-2 Grok-1.5V Grok-1.5

MiniMax

7 models

MiniMax M3 MiniMax M2.7 MiniMax M2.5 MiniMax M2.1 MiniMax M2 MiniMax M1 40K MiniMax M1 80K

Qwen

55 models

Qwen3.8 Flash Qwen3.8-Flash-Next Qwen3.8-27B Qwen3.8-2.4T-A95B Qwen3.8 Max Qwen3.7 Flash Qwen3.7-Plus Qwen3.7 Max Qwen3.6-27B Qwen3.6-35B-A3B Qwen3.6 Plus Qwen3.5-0.8B Qwen3.5-2B Qwen3.5-4B Qwen3.5-9B Qwen3.5-122B-A10B Qwen3.5-27B Qwen3.5-35B-A3B Qwen3.5-397B-A17B Qwen3 Max Qwen3 VL 235B A22B Instruct Qwen3 VL 235B A22B Thinking Qwen3 VL 30B A3B Instruct Qwen3 VL 30B A3B Thinking Qwen3 VL 32B Instruct Qwen3 VL 32B Thinking Qwen3 VL 4B Instruct Qwen3 VL 4B Thinking Qwen3 VL 8B Instruct Qwen3 VL 8B Thinking Qwen3-Next-80B-A3B-Instruct Qwen3-Next-80B-A3B-Thinking Qwen3-235B-A22B-Thinking-2507 Qwen3-235B-A22B-Instruct-2507 Qwen3 235B A22B Qwen3 30B A3B Qwen3 32B Qwen2.5-Omni-7B QwQ-32B Qwen2.5 VL 32B Instruct Qwen3-Coder 480B A35B Instruct Qwen2.5 VL 72B Instruct Qwen2.5 VL 7B Instruct Qwen3-Coder QvQ-72B-Preview QwQ-32B-Preview Qwen2.5 14B Instruct Qwen2.5 32B Instruct Qwen2.5 72B Instruct Qwen2.5 7B Instruct Qwen2.5-Coder 32B Instruct Qwen2.5-Coder 7B Instruct Qwen2-VL-72B-Instruct Qwen2 72B Instruct Qwen2 7B Instruct

AI21 Labs

2 models

Jamba 1.5 Large Jamba 1.5 Mini

Amazon

7 models

Nova 2 Lite Nova 2 Omni Nova 2 Pro Nova 2 Sonic Nova Lite Nova Micro Nova Pro

Baidu

2 models

ERNIE 5.0 ERNIE 4.5

ByteDance

4 models

Seed 2.1 Pro Seed 2.1 Turbo Seed 2.0 Lite Seed 2.0 Pro

Cohere

4 models

North Micro Vision Instruct North Mini Code 1.0 Command A+Command R+

IBM

2 models

IBM Granite 4.0 Tiny Preview Granite 3.3 8B Instruct

Inception

1 models

Mercury 2

inclusionAI

1 models

Ling-3.0-flash

LG AI Research

1 models

K-EXAONE-236B-A23B

Liquid AI

2 models

LFM2.5-VL-3B LFM2.5-2.6B

Meituan

4 models

LongCat-Flash-Lite LongCat-Flash-Thinking-2601 LongCat-Flash-Thinking LongCat-Flash-Chat

Microsoft

9 models

MAI-Code-1.1-Flash MAI-Code-1-Flash MAI-Thinking-1 Phi 4 Mini Phi-4-multimodal-instruct Phi 4 Phi-3.5-mini-instruct Phi-3.5-MoE-instruct Phi-3.5-vision-instruct

Moonshot AI

11 models

Kimi K3 Kimi K2.7 Code Kimi K2.7 Code HighSpeed Kimi K2.6 Kimi K2.5 Kimi K2 0905 Kimi K2-Instruct-0905 Kimi K2-Thinking-0905 Kimi K2 Base Kimi K2 Instruct Kimi-k1.5

Nous Research

1 models

Hermes 3 70B

NVIDIA

9 models

Nemotron 3.5 Lightning (30B A3B)Nemotron 3 Ultra (550B A55B)Nemotron 3 Super (120B A12B)Nemotron 3 Nano (30B A3B)Nemotron Nano 9B v2 Llama 3.1 Nemotron Ultra 253B v1 Llama 3.1 Nemotron Nano 8B V1 Llama-3.3 Nemotron Super 49B v1 Llama 3.1 Nemotron 70B Instruct

OpenBMB

1 models

MiniCPM-SALA

Poolside

2 models

Laguna S 2.1 Laguna XS 2.1

Sakana AI

1 models

Sakana Namazu

Sarvam AI

2 models

Sarvam-105B Sarvam-30B

StepFun

2 models

Step-3.5-Flash Step3-VL-10B

Tencent

1 models

Hy3

Thinking Machines

1 models

Inkling-Small

Unisound

1 models

Upstage

1 models

Solar Pro 4

Xiaomi

5 models

MiMo-V2.5-Pro MiMo-V2.5 MiMo-V2-Omni MiMo-V2-Pro MiMo-V2-Flash

Which model leads IFEval right now?

As of August 31, 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)

Top 8 for ifeval. Ranked by IFEval, which checks whether the model followed the prompt (format, length, constraints). That is instruction-following, not 'sounds good.' Input and output are dollars per million tokens.
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

Related LLM leaderboards

LLM Leaderboard Coding Math Agentic Reasoning Writing Science Finance Long Context Vision Open Source

Individual benchmark pages

Rank one eval at a time. All LLM benchmarks.

HLE SWE Bench Humanity's Last Exam (No Tools)Humanity's Last Exam (With Tools)Terminal-Bench 2.0 Terminal-Bench Terminal-Bench 2.1 Terminal-Bench 2 Terminal-Bench 3.0 ARC-AGI-1 Verified

IFEval FAQ

Who ranks #1 on the IFEval leaderboard?

As of August 31, 2026, Qwen3.5-27B by Qwen ranks #1 on IFEval at 95%. API pricing is $0.30/M input and $2.40/M output.

What are the top models on IFEval?

The current IFEval ranking as of August 31, 2026 is 1. Qwen3.5-27B at 95%; 2. Qwen3.7-Plus at 94.6%; 3. Qwen3.7 Max at 94.3%.

Which ifeval model is the cheapest?

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%.

Should I always pick the #1 IFEval model?

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.

How often is the IFEval leaderboard updated?

Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 31, 2026. Treat it as a current index, not a one-off blog post.

What is IFEval?

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).

Where is the IFEval leaderboard?

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.

How is this IFEval ranking different from the official board?

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

IFEval vs price

You found the model. Now ship the product.

All Large Language Models

OpenAI

Anthropic

Google

Cursor

xAI

DeepSeek

MiniMax

Qwen

AI21 Labs

Amazon

Baidu

ByteDance

Cohere

IBM

Inception

inclusionAI

LG AI Research

Liquid AI

Meituan

Meta

Microsoft

Mistral

Moonshot AI

Nous Research

NVIDIA

OpenBMB

Poolside

Sakana AI

Sarvam AI

StepFun

Tencent

Thinking Machines

Unisound

Upstage

Xiaomi

Z AI

Which model leads IFEval right now?

Related LLM leaderboards

Individual benchmark pages

IFEval FAQ

Who ranks #1 on the IFEval leaderboard?

What are the top models on IFEval?

Which ifeval model is the cheapest?

Should I always pick the #1 IFEval model?

How often is the IFEval leaderboard updated?

What is IFEval?

Where is the IFEval leaderboard?

How is this IFEval ranking different from the official board?