by price
Cheapest AI models (paid)
Lowest cost-per-million-tokens across the catalog. Excludes free models.
What this is
Ranked by capability match + real benchmark scores + live pricing, daily-refreshed. Benchmark sources: Aider Polyglot (coding) and Artificial Analysis Intelligence Index (overall, coding, agentic). Full methodology →
| # | Model | Score | In / 1M | Out / 1M | Context | |
|---|---|---|---|---|---|---|
| 1 | inclusionAI: Ling-2.6-flashinclusionai/ling-2.6-flash | — | $0.010 | $0.030 | 262,144 | Details → |
| 2 | Mistral: Mistral Nemomistralai/mistral-nemo | — | $0.019 | $0.030 | 131,072 | Details → |
| 3 | Sao10K: Llama 3 8B Lunarissao10k/l3-lunaris-8b | — | $0.040 | $0.050 | 8,192 | Details → |
| 4 | MythoMax 13Bgryphe/mythomax-l2-13b | — | $0.060 | $0.060 | 4,096 | Details → |
| 5 | Nex AGI: Nex-N2-Mininex-agi/nex-n2-mini | — | $0.025 | $0.100 | 262,144 | Details → |
| 6 | IBM: Granite 4.0 Microibm-granite/granite-4.0-h-micro | — | $0.017 | $0.112 | 131,000 | Details → |
| 7 | Meta: Llama 3.1 8B Instructmeta-llama/llama-3.1-8b-instruct | — | $0.050 | $0.080 | 131,072 | Details → |
| 8 | Mistral: Mistral Small 3mistralai/mistral-small-24b-instruct-2501 | — | $0.050 | $0.080 | 32,768 | Details → |
| 9 | Qwen: Qwen2.5 7B Instructqwen/qwen-2.5-7b-instruct | — | $0.040 | $0.100 | 131,072 | Details → |
| 10 | IBM: Granite 4.1 8Bibm-granite/granite-4.1-8b | — | $0.050 | $0.100 | 131,072 | Details → |
| 11 | Google: Gemma 3 4Bgoogle/gemma-3-4b-it | — | $0.050 | $0.100 | 131,072 | Details → |
| 12 | OpenAI: gpt-oss-20bopenai/gpt-oss-20b | 26 | $0.030 | $0.130 | 131,072 | Details → |
| 13 | Amazon: Nova Micro 1.0amazon/nova-micro-v1 | — | $0.035 | $0.140 | 128,000 | Details → |
| 14 | Poolside: Laguna XS 2.1poolside/laguna-xs-2.1 | — | $0.060 | $0.120 | 262,144 | Details → |
| 15 | Google: Gemma 3n 4Bgoogle/gemma-3n-e4b-it | — | $0.060 | $0.120 | 32,768 | Details → |
| 16 | Cohere: Command R7B (12-2024)cohere/command-r7b-12-2024 | — | $0.037 | $0.150 | 128,000 | Details → |
| 17 | Mistral: Ministral 3 3B 2512mistralai/ministral-3b-2512 | — | $0.100 | $0.100 | 131,072 | Details → |
| 18 | Google: Gemma 3 12Bgoogle/gemma-3-12b-it | — | $0.050 | $0.150 | 131,072 | Details → |
| 19 | Reka Edgerekaai/reka-edge | — | $0.100 | $0.100 | 16,384 | Details → |
| 20 | OpenAI: gpt-oss-120bopenai/gpt-oss-120b | 43 | $0.037 | $0.170 | 131,072 | Details → |
| 21 | Microsoft: Phi 4microsoft/phi-4 | — | $0.070 | $0.140 | 16,384 | Details → |
| 22 | Meta: Llama 3.2 1B Instructmeta-llama/llama-3.2-1b-instruct | — | $0.027 | $0.201 | 131,072 | Details → |
| 23 | Qwen: Qwen3.5-9Bqwen/qwen3.5-9b | — | $0.100 | $0.150 | 262,144 | Details → |
| 24 | NVIDIA: Nemotron 3 Nano 30B A3Bnvidia/nemotron-3-nano-30b-a3b | — | $0.050 | $0.200 | 262,144 | Details → |
| 25 | Tencent: Hy3 previewtencent/hy3-preview | — | $0.063 | $0.210 | 262,144 | Details → |
| 26 | DeepSeek: DeepSeek V4 Flashdeepseek/deepseek-v4-flash | 75 | $0.094 | $0.188 | 1,048,576 | Details → |
| 27 | Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | — | $0.150 | $0.150 | 262,144 | Details → |
| 28 | Amazon: Nova Lite 1.0amazon/nova-lite-v1 | — | $0.060 | $0.240 | 300,000 | Details → |
| 29 | ByteDance: UI-TARS 7B bytedance/ui-tars-1.5-7b | — | $0.100 | $0.200 | 128,000 | Details → |
| 30 | Reka Flash 3rekaai/reka-flash-3 | — | $0.100 | $0.200 | 65,536 | Details → |
| 31 | Qwen: Qwen3.5-Flashqwen/qwen3.5-flash-02-23 | — | $0.065 | $0.260 | 1,000,000 | Details → |
| 32 | Qwen: Qwen3 Coder 30B A3B Instructqwen/qwen3-coder-30b-a3b-instruct | — | $0.070 | $0.270 | 160,000 | Details → |
| 33 | Qwen: Qwen3 14Bqwen/qwen3-14b | — | $0.120 | $0.240 | 131,702 | Details → |
| 34 | Meta: Llama Guard 4 12Bmeta-llama/llama-guard-4-12b | — | $0.180 | $0.180 | 163,840 | Details → |
| 35 | Qwen: Qwen3 32Bqwen/qwen3-32b | — | $0.080 | $0.280 | 131,072 | Details → |
| 36 | ByteDance Seed: Seed 1.6 Flashbytedance-seed/seed-1.6-flash | — | $0.075 | $0.300 | 262,144 | Details → |
| 37 | OpenAI: gpt-oss-safeguard-20bopenai/gpt-oss-safeguard-20b | — | $0.075 | $0.300 | 131,072 | Details → |
| 38 | Meta: Llama 3.2 3B Instructmeta-llama/llama-3.2-3b-instruct | — | $0.051 | $0.335 | 131,072 | Details → |
| 39 | Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | — | $0.200 | $0.200 | 262,144 | Details → |
| 40 | Meta: Llama 4 Scoutmeta-llama/llama-4-scout | — | $0.100 | $0.300 | 10,000,000 | Details → |
| 41 | StepFun: Step 3.5 Flashstepfun/step-3.5-flash | — | $0.100 | $0.300 | 262,144 | Details → |
| 42 | Qwen: Qwen3 30B A3B Instruct 2507qwen/qwen3-30b-a3b-instruct-2507 | — | $0.100 | $0.300 | 262,144 | Details → |
| 43 | Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | — | $0.100 | $0.300 | 131,072 | Details → |
| 44 | Google: Gemma 3 27Bgoogle/gemma-3-27b-it | 16 | $0.100 | $0.300 | 131,072 | Details → |
| 45 | Mistral: Voxtral Small 24B 2507mistralai/voxtral-small-24b-2507 | — | $0.100 | $0.300 | 32,000 | Details → |
| 46 | Google: Gemma 4 26B A4B google/gemma-4-26b-a4b-it | 52 | $0.070 | $0.340 | 262,144 | Details → |
| 47 | Xiaomi: MiMo-V2.5xiaomi/mimo-v2.5 | — | $0.140 | $0.280 | 1,048,576 | Details → |
| 48 | OpenAI: GPT-5 Nanoopenai/gpt-5-nano | — | $0.050 | $0.400 | 400,000 | Details → |
| 49 | Z.ai: GLM 4.7 Flashz-ai/glm-4.7-flash | — | $0.060 | $0.400 | 200,000 | Details → |
| 50 | Google: Gemma 4 31Bgoogle/gemma-4-31b-it | 57 | $0.120 | $0.370 | 262,144 | Details → |