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LynxModel

AI Model Intelligence RankingsAI 模型智能排行

62 frontier models, one transparent 100-point Intelligence Score across 11 public benchmarks (reasoning, coding, knowledge, math, agent, human preference). Every score links to its source. Data refreshed 2026-09-20. Click any column to sort.

62 个前沿模型,一套透明的百分制智能评分,覆盖 11 个公开 benchmark(推理/代码/知识/数学/智能体/人类偏好)。每个分数都带来源链接。数据更新于 2026-09-20。点表头可排序。

Find my model帮我选型 Pricing & value价格与性价比 Head-to-head模型对战 Image arena图片生成榜 Video arena视频生成榜 How the score works评分方法 Benchmark explorerBenchmark 百科

Rea = Reasoning推理 Cod = Coding代码 Kno = Knowledge知识 Mat = Math数学 Agt = Agent智能体 Pre = Preference偏好

⚖ Adjust the weights — the ranking recomputes live⚖ 调权重——排名实时重算
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Same formula as the published score: weighted average over the dimensions a model actually has, renormalized by the weights present. Below 30% coverage a model shows no score; below 60% it carries a low-data badge.与公开评分同一公式:按模型实际拥有的维度加权平均、按出席权重重归一;覆盖<30% 不出分,<60% 打"数据少"徽标。

Intelligence vs price — the value map智能分 vs 价格——性价比地图

Each dot is a scored model: higher = smarter, further left = cheaper. Top-left is the sweet spot. Color = provider, dashed lines = medians.每个点是一个有评分的模型:越往上越聪明,越往左越便宜,左上角是甜区。颜色=厂商,虚线=中位数。 Click to enlarge. 点击放大。

Intelligence vs price scatter — each dot a scored model, color = provider智能分 vs 价格散点图——每个点一个有评分的模型,颜色=厂商
#Model模型Score总分 Rea推理 Cod代码 Kno知识 Mat数学 Agt智能体 Pre偏好 Ctx上下文 $ in/1M输入$/1M $ out/1M输出$/1M
1GPT-5.6 Sol(max)OpenAI92.490.496.396.29673.81001.1M$2.00$10
2Claude Fable 5(max)Anthropic92.395.796.298.896.940.370.81M$10$50
3DeepSeek V4 Flash 0731DeepSeek91.187.294.395.193.11.3M$0.040$0.160
4GPT-5.6 Terra(max)OpenAI89.788.888.893.693.987.674.81.1M$2.00$12
5GPT-5.6 Sol Pro(max)OpenAI88.8 low data数据少91.990.764.51.1M$2.00$10
6DeepSeek V4 Pro 0423(max)DeepSeek87.489.285.994.585.597.758.81M$0.422$0.845
7Gemini 3.1 Pro Preview(high)Google86.190.584.610096.350.665.81M$2.00$12
8GLM 5.2(max)Z.ai85.495.4739699.337.7621M$0.650$2.04
9Hy3Tencent85.3 low data数据少88.394.158.5262K$0.083$0.330
10Qwen3.7 Max(on/off开/关)Qwen85.29585.796.857.296.162.81M$1.48$4.42
11Grok 4.20(high)xAI85.191.875.893.282.298632M$1.25$2.50
12Kimi K3(always-on常开)Moonshot AI8587.597.79570.737.766.51M$1.70$8.50
13Qwen3.8 Max (0902)Qwen84.997.493.295.754.964.2671M$2.00$6.00
14GPT-5.6 Luna(max)OpenAI84.780.186.392.992.457.21.1M$0.200$1.20
15Claude Opus 4.8(max)Anthropic84.289.49096.875.958.862.81M$5.00$25
16Gemini 3.5 Flash(high)Google83.683.385.196.770.996.863.51M$1.50$9.00
17DeepSeek V4 Flash 0423(max)DeepSeek83.573.788.493.19797.1531M$0.036$0.071
18Qwen3.7 Plus(on/off开/关)Qwen83.477.586.995.685.794.458.81M$0.320$1.28
19Claude Opus 5(max)Anthropic83.396.485.988.567.26266.51M$5.00$25
20Muse Spark 1.2meta83 low data数据少82.787.568.81M$1.25$4.25
21GPT-5.5(max)OpenAI8280.589.19385.555.564.81.1M$5.00$30
22Qwen3.7 Flash(on/off开/关)Qwen8278.587.396.467.3631M$0.030$0.130
23MiniMax M3MiniMax81.880.18290.983.982.455.21M$0.300$1.20
24Step 3.7 FlashStepFun81.486.474.397.310043262K$0.200$1.15
25Claude Sonnet 5(high)Anthropic80.989.188.294.549.175.859.71M$2.00$10
26Kimi K2.7 CodeMoonshot AI80.269.38291.410091.559.5262K$0.706$3.21
27Gemini 3.6 Flash(high)Google80.184.591.759.877.765.31M$0.750$3.75
28Grok 4.5(high)xAI77.983.788.696.358.743.361.5500K$2.00$6.00
29Seed-2.0-MiniByteDance Seed77.7 low data数据少82.769.887262K$0.100$0.400
30MiMo-V2.5-ProXiaomi77.2 low data数据少87.437.395.661.31.1M$0.435$0.870
31Nemotron 3 UltraNVIDIA76.968.781.593.784.651262K$0.600$2.40
32MiniMax M2.7MiniMax75.871.177.788.678.377.348.3205K$0.300$1.20
33Grok 4.3(high)xAI74.377.770.892.753.499.254.71M$1.25$2.50
34GPT-5.6 Luna Pro(max)OpenAI71.5 low data数据少85.42256.71.1M$0.200$1.20
35ERNIE 4.5 VL 424B A47B Baidu71.26849.983.878123K$0.420$1.25
36Kimi K2 Thinking(always-on常开)Moonshot AI71.165.569.894.661.979.151.8262K$0.600$2.50
37DeepSeek V3.2(on/off开/关)DeepSeek70.465.375.491.850.681.150.5164K$0.269$0.400
38GLM 5.1(on/off开/关)Z.ai70.266.266.978.567.486.561205K$0.966$3.04
39Muse Spark 1.1meta69.586.182.939.65866.51M$1.25$4.25
40Mistral Medium 3.5Mistral AI65.542.969.487.886.395.651262K$1.50$7.50
41Seed-2.0-LiteByteDance Seed65.466.972.950.695.632.2262K$0.250$2.00
42gpt-oss-120bOpenAI655956.385.393.466.835.5131K$0.150$0.600
43Gemini 3.5 Flash Lite(high)Google63.460.457.892.73658.81M$0.300$2.50
44Mercury 2Inception58.7 low data数据少53.828.891.171.9128K$0.250$0.750
45Gemini 3.1 Flash Lite(high)Google5760.54989.634.331.852.21M$0.250$1.50
46Claude Haiku 4.5(high)Anthropic5555.866.270.221.855.547.5200K$1.00$5.00
47Sonar ProPerplexity52.5 low data数据少44.381.529200K$3.00$15
48Command ACohere50.536.531.476.99081.932.8256K$2.50$10
49Mistral Small 4Mistral AI50.231.458.757.19341.8262K$0.150$0.600
50Mistral LargeMistral AI49.926.652.87963.448128K$2.00$6.00
51Command R+ (08-2024)Cohere42.8 low data数据少3381.76.7128K$2.50$10
52Llama 4 MaverickMeta42.541.539.686.91118.148.51M$0.188$0.652
53Nova Pro 1.0Amazon37 low data数据少3074.6714.2300K$0.800$3.20
54Phi 4Microsoft35.532.877.16.708.316K$0.070$0.140
55Llama 4 ScoutMeta34.533.723.580.23.615.741.71.3M$0.100$0.300
56Nova Premier 1.0Amazon31.4 low data数据少33.433.91738.91M$2.50$13
GPT-5.6 Terra Pro(max)OpenAI low data数据少72.87760.21.1M$2.00$12
LongCat 2.0Meituan low data数据少81.71001M$0.300$1.20
Hunyuan A13B InstructTencent low data数据少94.776.8131K$0.140$0.570
Solar Pro 3Upstage low data数据少75.884.387.6131K$0.150$0.600
Palmyra X5Writer low data数据少 vendor data厂商数据49.41M$0.600$6.00
KAT-Coder-Pro V2.5Kwaipilot low data数据少 vendor data厂商数据72.5262K$0.740$2.96

56 of 62 models have enough data (≥30% benchmark coverage) for a public score. Prices are API list prices per 1M tokens from OpenRouter. "vendor data" means >40% of available scores are vendor self-reported — treat with care. The Chinese board lists models reachable via CN-direct endpoints, ranked by score.56/62 个模型数据充足(benchmark 覆盖 ≥30%)予以出分。价格为 OpenRouter 每百万 token API 标价。"厂商数据" 表示可用成绩中厂商自报占比超 40%,请谨慎参考。中文榜 = 支持国内直连的模型按分数排序。