Value for money

What you actually get for your dollar

Price is only half the story. Below: the lowest cost per million tokens across 3,098 models, and, as the community grows, the real cost per successful task. The cheapest model is not always the best value.

Lowest cost per million tokens

Blended price at a fixed 3:1 input-to-output ratio, text models, from the live catalog.

# Model Provider Input Output Blended
1 nscale/Qwen/Qwen2.5-Coder-3B-Instruct nscale $0.01 $0.03 $0.015
2 nscale/Qwen/Qwen2.5-Coder-7B-Instruct nscale $0.01 $0.03 $0.015
3 nebius/Qwen/Qwen2.5-Coder-7B nebius $0.01 $0.03 $0.015
4 lambda_ai/llama3.2-11b-vision-instruct lambda_ai $0.02 $0.03 $0.018
5 lambda_ai/llama3.2-3b-instruct lambda_ai $0.02 $0.03 $0.018
6 deepinfra/meta-llama/Llama-3.2-3B-Instruct deepinfra $0.02 $0.02 $0.020
7 novita/paddlepaddle/paddleocr-vl novita $0.02 $0.02 $0.020
8 novita/meta-llama/llama-3.2-1b-instruct novita $0.02 $0.02 $0.020
9 together_ai/Qwen/Qwen2-1.5B-Instruct together_ai $0.02 $0.02 $0.020
10 deepinfra/mistralai/Mistral-Nemo-Instruct-2407 deepinfra $0.02 $0.03 $0.022
11 openrouter/mistralai/mistral-nemo openrouter $0.02 $0.03 $0.022
12 nscale/deepseek-ai/DeepSeek-R1-Distill-Llama-8B nscale $0.03 $0.03 $0.025
13 deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo deepinfra $0.02 $0.04 $0.025
14 novita/meta-llama/llama-3.1-8b-instruct novita $0.02 $0.05 $0.028
15 darkbloom/gpt-oss-20b darkbloom $0.01 $0.07 $0.028
16 lambda_ai/hermes3-8b lambda_ai $0.03 $0.04 $0.029
17 lambda_ai/lfm-7b lambda_ai $0.03 $0.04 $0.029
18 lambda_ai/llama3.1-8b-instruct lambda_ai $0.03 $0.04 $0.029
19 nscale/meta-llama/Llama-3.1-8B-Instruct nscale $0.03 $0.03 $0.030
20 nebius/meta-llama/Meta-Llama-3.1-8B-Instruct nebius $0.02 $0.06 $0.030

Lowest price is not the same as best value. A cheaper model that fails more often can cost more per finished task. That is what the next section measures.

From the community

Real-world value for money

Cost per successful task, success rate, average quality, and latency, aggregated across everyone who opts in. Anonymized, and only shown when enough people contribute. Last 30 days.

This fills in as the community grows

Send the optional success, quality_score, and latency_ms fields with your events and we can show which models are actually worth it, not just which are cheapest. The more people who do, the sharper this gets.

Cost per success = total spend divided by tasks reported successful. We never show a model unless enough separate contributors reported it. See the community dashboard for usage totals.