Overall intelligence divided by blended price. Higher means more benchmark score per dollar.
Value Index is derived inside Easy Benchmarks. It divides the Artificial Analysis Intelligence Index by blended price, which makes it useful for finding inexpensive models with strong broad benchmark performance.
Test type: Derived price-quality metric. Higher values mean more broad benchmark score per dollar.
355 models have this metric.
Current leader: Qwen3.5 0.8B (Reasoning)
Project links
This is a local derived metric, not an upstream Artificial Analysis benchmark.
Top models ranked by Value.
| Rank | Model | Creator | Value | Speed | Blended Price |
|---|---|---|---|---|---|
| #1 | Qwen3.5 0.8B (Reasoning) | Alibaba | 525.0 | n/a | $0.020/M |
| #2 |
| Alibaba |
| 495.0 |
| 88 tok/s |
| $0.020/M |
| #3 | Qwen3.5 4B (Reasoning) | Alibaba | 451.7 | 195.8 tok/s | $0.060/M |
| #4 | Qwen3.5 2B (Reasoning) | Alibaba | 407.5 | n/a | $0.040/M |
| #5 | Qwen3.5 4B (Non-reasoning) | Alibaba | 376.7 | 208.9 tok/s | $0.060/M |
| #6 | Qwen3.5 2B (Non-reasoning) | Alibaba | 367.5 | 318.9 tok/s | $0.040/M |
| #7 | Qwen3.5 9B (Reasoning) | Alibaba | 286.7 | 69.4 tok/s | $0.113/M |
| #8 | MiMo-V2.5 | Xiaomi | 280.0 | 77.4 tok/s | $0.175/M |
| #9 | MiMo-V2-Flash (Feb 2026) | Xiaomi | 276.7 | 124.9 tok/s | $0.150/M |
| #10 | Sarvam 30B (high) | Sarvam | 261.7 | 147.9 tok/s | $0.047/M |
| #11 | MiMo-V2-Flash (Reasoning) | Xiaomi | 261.3 | 129.5 tok/s | $0.150/M |
| #12 | Step 3.5 Flash 2603 | StepFun | 256.7 | 231 tok/s | $0.150/M |
| #13 | Gemma 3n E4B Instruct | 256.0 | 50 tok/s | $0.025/M |
| #14 | NVIDIA Nemotron 3 Nano 30B A3B (Reasoning) | NVIDIA | 253.1 | 133.6 tok/s | $0.096/M |
| #15 | Step 3.5 Flash | StepFun | 252.0 | 217.5 tok/s | $0.150/M |
| #16 | Sarvam 105B (high) | Sarvam | 245.9 | 100.7 tok/s | $0.074/M |
| #17 | DeepSeek V4 Flash (Reasoning, Max Effort) | DeepSeek | 230.3 | 98.3 tok/s | $0.175/M |
| #18 | DeepSeek V4 Flash (Reasoning, High Effort) | DeepSeek | 213.7 | n/a | $0.175/M |
| #19 | NVIDIA Nemotron Nano 9B V2 (Reasoning) | NVIDIA | 211.4 | 118 tok/s | $0.070/M |
| #20 | Hy3-preview (Reasoning) | Tencent | 209.5 | 96 tok/s | $0.200/M |
| #21 | MiMo-V2-Flash (Non-reasoning) | Xiaomi | 202.0 | 122.8 tok/s | $0.150/M |
| #22 | Granite 4.1 8B | IBM | 196.8 | 134.2 tok/s | $0.063/M |
| #23 | GLM-4.7-Flash (Reasoning) | Z AI | 196.7 | 94.1 tok/s | $0.153/M |
| #24 | GPT-5 nano (high) | OpenAI | 194.2 | 150.4 tok/s | $0.138/M |
| #25 | GPT-5 nano (medium) | OpenAI | 187.7 | 167 tok/s | $0.138/M |
| #26 | Ling 2.6 Flash | InclusionAI | 174.7 | n/a | $0.150/M |
| #27 | gpt-oss-20B (high) | OpenAI | 169.3 | 240 tok/s | $0.088/M |
| #28 | Hy3-preview (Non-reasoning) | Tencent | 168.5 | 83.9 tok/s | $0.200/M |
| #29 | DeepSeek V4 Flash (Non-reasoning) | DeepSeek | 164.0 | 97.4 tok/s | $0.175/M |
| #30 | Nemotron 3 Nano Omni 30B A3B Reasoning | NVIDIA | 163.4 | 276.7 tok/s | $0.131/M |
| #31 | NVIDIA Nemotron Nano 9B V2 (Non-reasoning) | NVIDIA | 153.5 | 133.6 tok/s | $0.086/M |
| #32 | gpt-oss-20B (low) | OpenAI | 150.5 | 224.2 tok/s | $0.095/M |
| #33 | NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) | NVIDIA | 150.0 | 87.3 tok/s | $0.088/M |
| #34 | Gemma 4 12B (Reasoning) | 146.7 | 158.6 tok/s | $0.150/M |
| #35 | GLM-4.7-Flash (Non-reasoning) | Z AI | 144.4 | 105.6 tok/s | $0.153/M |
| #36 | Qwen2.5 Turbo | Alibaba | 136.4 | 66.4 tok/s | $0.088/M |
| #37 | Gemma 4 26B A4B (Reasoning) | 129.8 | n/a | $0.198/M |
| #38 | Grok 4 Fast (Reasoning) | xAI | 127.6 | n/a | $0.275/M |
| #39 | Gemma 3 4B Instruct | 126.0 | n/a | $0.050/M |
| #40 | Llama 3.2 Instruct 1B | Meta | 126.0 | 92.9 tok/s | $0.050/M |
| #41 | DeepSeek V3.2 (Reasoning) | DeepSeek | 123.7 | n/a | $0.337/M |
| #42 | Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) | 123.4 | n/a | $0.175/M |
| #43 | Mistral Small 3 | Mistral | 122.1 | 153.7 tok/s | $0.104/M |
| #44 | Gemma 4 31B (Non-reasoning) | 121.0 | 54.9 tok/s | $0.205/M |
| #45 | Nova Lite | Amazon | 121.0 | 191.7 tok/s | $0.105/M |
| #46 | Llama 3.1 Instruct 8B | Meta | 118.0 | 201.5 tok/s | $0.100/M |
| #47 | Mistral Small 3.2 | Mistral | 118.0 | 127.1 tok/s | $0.128/M |
| #48 | Gemini 2.5 Flash-Lite Preview (Sep '25) (Non-reasoning) | 110.9 | n/a | $0.175/M |
| #49 | Llama Nemotron Super 49B v1.5 (Reasoning) | NVIDIA | 106.9 | 44.2 tok/s | $0.175/M |
| #50 | DeepSeek V3.2 Exp (Reasoning) | DeepSeek | 106.1 | n/a | $0.310/M |
| #51 | Mistral Small 3.1 | Mistral | 105.1 | 158.2 tok/s | $0.138/M |
| #52 | MiniMax-M3 | MiniMax | 104.2 | 45.6 tok/s | $0.525/M |
| #53 | Gemma 4 26B A4B (Non-reasoning) | 101.5 | 48 tok/s | $0.198/M |
| #54 | Devstral Small (Jul '25) | Mistral | 101.3 | 42.3 tok/s | $0.150/M |
| #55 | Granite 4.0 H Small | IBM | 100.9 | 454.2 tok/s | $0.107/M |
| #56 | Gemini 2.5 Flash-Lite (Reasoning) | 100.6 | 265.2 tok/s | $0.175/M |
| #57 | GPT-5 nano (minimal) | OpenAI | 100.0 | 153.9 tok/s | $0.138/M |
| #58 | MiMo-V2.5-Pro | Xiaomi | 98.9 | 43.3 tok/s | $0.544/M |
| #59 | Step 3.7 Flash | StepFun | 97.3 | 385.5 tok/s | $0.438/M |
| #60 | Llama 2 Chat 7B | Meta | 97.0 | 100.6 tok/s | $0.100/M |
| #61 | MiniMax-M2.7 | MiniMax | 94.5 | 75 tok/s | $0.525/M |
| #62 | LFM2 24B A2B | Liquid AI | 94.2 | 127.6 tok/s | $0.052/M |
| #63 | Qwen3.5 Omni Flash | Alibaba | 94.2 | 224.4 tok/s | $0.275/M |
| #64 | Qwen3 30B A3B (Non-reasoning) | Alibaba | 94.0 | 68.6 tok/s | $0.133/M |
| #65 | Grok 3 mini Reasoning (high) | xAI | 91.7 | 58.8 tok/s | $0.350/M |
| #66 | DeepSeek V3.2 Exp (Non-reasoning) | DeepSeek | 91.6 | n/a | $0.310/M |
| #67 | Llama 3 Instruct 8B | Meta | 91.4 | 88.3 tok/s | $0.070/M |
| #68 | gpt-oss-120b (high) | OpenAI | 90.8 | 348.5 tok/s | $0.262/M |
| #69 | Qwen3.7 Plus | Alibaba | 90.3 | 53.6 tok/s | $0.590/M |
| #70 | Mercury 2 | Inception | 87.5 | 758.7 tok/s | $0.375/M |
| #71 | NVIDIA Nemotron 3 Super 120B A12B (Reasoning) | NVIDIA | 87.4 | 149.6 tok/s | $0.412/M |
| #72 | Qwen3 30B A3B (Reasoning) | Alibaba | 85.0 | 68.5 tok/s | $0.180/M |
| #73 | Grok 4 Fast (Non-reasoning) | xAI | 84.0 | n/a | $0.275/M |
| #74 | Seed-OSS-36B-Instruct | ByteDance Seed | 84.0 | 40.4 tok/s | $0.300/M |
| #75 | Llama Nemotron Super 49B v1.5 (Non-reasoning) | NVIDIA | 83.4 | 43.9 tok/s | $0.175/M |
| #76 | KAT Coder Pro V2 | KwaiKAT | 83.4 | 118.1 tok/s | $0.525/M |
| #77 | GPT-5.4 nano (xhigh) | OpenAI | 82.5 | 147.6 tok/s | $0.463/M |
| #78 | Granite 3.3 8B (Non-reasoning) | IBM | 82.4 | 400.9 tok/s | $0.085/M |
| #79 | DeepSeek V4 Pro (Reasoning, Max Effort) | DeepSeek | 81.4 | 61.6 tok/s | $0.544/M |
| #80 | Hermes 4 - Llama-3.1 70B (Reasoning) | Nous Research | 80.8 | 87.2 tok/s | $0.198/M |