Gemini 3.1 Flash
Gemini 3.1 Flash is the safest overall answer here when you want the strongest default instead of the lowest list price.
- Best for
- High-volume everyday AI usage where speed and cost both matter
- Price
- $0.50/1M
- Context
- 1M tokens
The cheapest AI model in this directory by API cost is Llama 4 Scout. The best cheap AI for most teams is still Gemini 3.1 Flash, because it gives better overall value.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Gemini 3.1 Flash 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.
1M token context window at $0.50/$3 per million tokens
2.5× faster time-to-first-token than Gemini 2.5 Flash
Strong multimodal support across text, images, audio, and video
Not as sharp as premium models on hard reasoning or complex coding
May need more validation on nuanced technical tasks
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Llama 4 Scout is the cheapest model in this directory by combined input and output cost.
Gemini 3.1 Flash is the best cheap general-purpose AI in this directory because it stays fast, useful, and affordable at scale.
Codestral 25.01 is the best cheap coding specialist in this directory when low-cost engineering throughput matters most.
Claude 4 Haiku is the best low-cost writing option in this directory for fast drafts, edits, and support-style content workflows.
No. If poor output causes rework or mistakes, a slightly more expensive model can be the cheaper operational decision.
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.
Llama 4 Scout is the cheapest by list price in this dataset.
Gemini 3.1 Flash is the best cheap default for most people.
The lowest price is not the same thing as the best value.
Use the absolute cheapest model for internal, review-heavy, low-stakes tasks.
Use Gemini 3.1 Flash when the work still needs to be broadly useful.
Use task-specific cheap models when your volume is concentrated in one workflow, like coding or writing.