Codestral 25.01 is the best cheap AI for coding in this directory because it gives the strongest low-cost coding specialization without forcing teams up to premium flagship pricing.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Codestral 25.01 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Mistral / Budget / Apr 29, 2026
A dirt-cheap multilingual model perfect for bulk text tasks, but don't expect frontier-level reasoning.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need reliable multi-step reasoning, advanced code generation, or any image/multimodal processing.
The fastest way to see where the recommendation shifts when your priority changes.
Great value for code completion and implementation tasks
Faster and much cheaper than premium coding models
Strong fit for engineering teams scaling API usage
Weaker on non-technical writing and nuanced strategy work
Grok 4 now offers stronger coding with a 2M context at only $2/$6
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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The top-ranked model in this directory changes as new models launch and prices shift. Check the recommendation at the top of this page for the current best pick.
The best coding model in this directory is ranked by SWE-bench score and real-world developer adoption. The current #1 is shown at the top of our coding comparison pages.
The cheapest capable AI model changes as providers adjust pricing. Check our cheapest AI comparison page for the current lowest-cost option per million tokens.
The fastest models in the directory are ranked by speed score. Check our fastest AI page for the current top picks by latency and throughput.
Most businesses get the best results pairing one premium model for quality work with one budget model for volume — rather than forcing a single model to do everything.
Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.
Mistral: Mistral Nemo is the better pick when response speed matters more than maximum reasoning depth.
Codestral 25.01 is the best cheap coding model in the current directory.
GPT-5.2 Mini is the better cheap technical generalist if your workflow extends beyond code.
Gemini 3.1 Flash is cheaper for broad use, but not the best specialist coding answer.
Choose Codestral for budget-focused engineering throughput.
Choose GPT-5.2 Mini when the same model also needs to help with broader technical work.
Choose Gemini when coding is only one of several budget-sensitive workflows.
