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Pricing guide

Cheapest AI Models That Still Hold Up

Cheap is only useful if the model is still competent. These are the low-cost options that don’t completely suck.

ModelInputOutputTotal price signalBest for
GPT-OSS-120B
OpenAI
$0$0$0.00Self-hosted
Grok 4.1 Fast
xAI
$0.2$0.5$0.70Long context
DeepSeek V3
DeepSeek
$0.27$1.1$1.37Budget coding
MiniMax M2.5
MiniMax
$0.3$1.2$1.50Real-world productivity
GLM-5
Zhipu AI
$0.5$2$2.50Bilingual (CN/EN)
Kimi K2.5
Moonshot AI
$0.6$2.5$3.10Visual coding
Qwen 3 Max
Alibaba
$1.2$6$7.20Multilingual
Mistral Large 3
Mistral
$2$6$8.00European compliance
Llama 4 (405B)
Meta
$2$8$10.00Self-hosted
Gemini 3.1 Pro Preview
Google
$2$12$14.00Multimodal tasks
GPT-5.2-Codex
OpenAI
$1.75$14$15.75Coding-focused tasks
GPT-5.2
OpenAI
$1.75$14$15.75General-purpose
GPT-5.4
OpenAI
$2.5$15$17.50Coding
Claude Sonnet 4.6
Anthropic
$3$15$18.00Balanced performance
Claude Opus 4.7
Anthropic
$5$25$30.00Complex reasoning
GPT-5.5
OpenAI
$5$30$35.00Complex reasoning

Best ultra-budget option

Grok 4.1 Fast is stupidly cheap for a 2M-context model and works well for long-context + search-heavy workloads.

Best value frontier model

MiniMax M2.5 is the best balance of serious quality and low token cost.

Best bilingual value

GLM-5 is still one of the strongest value models if Chinese/English matters.

When cheap is the right choice