Value for money

What you actually get for your dollar

Price is only half the story. Below: the lowest cost per million tokens from our catalog of 4,499 priced 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 perplexity/pplx-decider-flash-v1.2 perplexity $0.01 $0.00 $0.008
2 perplexity/pplx-decider-flash-latest perplexity $0.01 $0.00 $0.008
3 baseten/decision-models/baseten-joey-2b-latest baseten $0.01 $0.00 $0.008
4 nscale/Qwen/Qwen2.5-Coder-3B-Instruct nscale $0.01 $0.03 $0.015
5 nscale/Qwen/Qwen2.5-Coder-7B-Instruct nscale $0.01 $0.03 $0.015
6 nebius/Qwen/Qwen2.5-Coder-7B nebius $0.01 $0.03 $0.015
7 perplexity/pplx-decider-v1-27b perplexity $0.02 $0.00 $0.015
8 perplexity/pplx-decider-v1.1-27b perplexity $0.02 $0.00 $0.015
9 perplexity/pplx-decider-v1.2 perplexity $0.02 $0.00 $0.015
10 perplexity/pplx-decider-latest perplexity $0.02 $0.00 $0.015
11 lambda_ai/llama3.2-11b-vision-instruct lambda_ai $0.02 $0.03 $0.018
12 lambda_ai/llama3.2-3b-instruct lambda_ai $0.02 $0.03 $0.018
13 deepinfra/meta-llama/Llama-3.2-3B-Instruct deepinfra $0.02 $0.02 $0.020
14 novita/paddlepaddle/paddleocr-vl novita $0.02 $0.02 $0.020
15 novita/meta-llama/llama-3.2-1b-instruct novita $0.02 $0.02 $0.020
16 together_ai/Qwen/Qwen2-1.5B-Instruct together_ai $0.02 $0.02 $0.020
17 deepinfra/mistralai/Mistral-Nemo-Instruct-2407 deepinfra $0.02 $0.03 $0.022
18 nscale/deepseek-ai/DeepSeek-R1-Distill-Llama-8B nscale $0.03 $0.03 $0.025
19 deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo deepinfra $0.02 $0.04 $0.025
20 baseten/decision-models/baseten-elephant-9b-latest baseten $0.04 $0.00 $0.026

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.