Best cheap AI models
CheapYou no longer need a $15-per-million flagship for most work. These are the best cheap AI models in 2026: everything here costs at most about $1 per million input tokens, ranked by how much real capability you keep while the price drops.
As of June 2026, picking a cheap model is a three-way question:
- Want the most capability per dollar? DeepSeek V4 or MiniMax-M3
- Already on a big-lab API? Gemini 3 Flash on Google, GPT-5.4 Mini on OpenAI, Claude Haiku 4.5 on Anthropic
- Running high volume where every cent counts? DeepSeek V4 Flash, Qwen3.5 Flash, or GLM 4.7 Flash
One habit worth keeping: cheap models punch above their weight on routine work but slip on long multi-step agent runs. Route your everyday traffic to a cheap pick and keep a flagship for the hard 10%.
The best cheap AI model right now is DeepSeek V4: near-frontier reasoning, a 1M token context window, and open weights at $0.435 per million input tokens, roughly a sixth of what GPT-5.4 or Claude Sonnet 4.6 cost.
MiniMax-M3 is even cheaper at $0.30 per million and scores 54.7 on the Artificial Analysis Intelligence Index, within reach of flagships that cost ten times more. From the big labs, Gemini 3 Flash at $0.50 and GPT-5.4 Mini at $0.75 are the practical budget tiers.
If you only care about price per token, DeepSeek V4 Flash ($0.098), Qwen3.5 Flash ($0.065), and GLM 4.7 Flash ($0.06) form the floor where models stay genuinely usable.
The sweet spot: models that keep most of the capability of a flagship at a tenth or less of the price.
- 11DeepSeek V4DeepSeekThe best capability per dollar: near-frontier reasoning, 1M context, $0.435 per million.Context1.049MInput$0.435/M
- 22MiniMax-M3MiniMaxNear-frontier intelligence at $0.30 per million input tokens.Context205KInput$0.3/M
- 33Gemini 3 FlashGoogle DeepMindGoogle's fast workhorse: 1M context at $0.50 per million input tokens.Context1.049MInput$0.5/M
OpenAI's and Anthropic's budget tiers: pricier than the Chinese picks, but the easiest drop-in if you are already on those APIs.
- 11GPT-5.4 MiniOpenAIThe cheapest GPT that still handles real agent work, at $0.75 per million.Context400KInput$0.75/M
- 22Claude Haiku 4.5AnthropicAnthropic's budget tier: dependable quality at $1 per million input tokens.Context200KInput$1/M
For when price per token is the whole point: agents that run all day, batch jobs, and sub-agent steps.
- 11Kimi K2.5Moonshot AIOpen-weight agentic coder at $0.40 per million input tokens.Context262KInput$0.375/M
- 22DeepSeek V4 FlashDeepSeekA 1M context window at $0.098 per million. The high-volume default.Context1.049MInput$0.09/M
- 33MiniMax M2.5MiniMaxOpen weights and solid quality at $0.15 per million input tokens.Context205KInput$0.15/M
- 44Qwen3.5-FlashQwen1M context at $0.065 per million, for summarization and routine steps.Context1MInput$0.065/M
- 5Context203KInput$0.06/M
Each model's Artificial Analysis Intelligence Index score against its blended price per 1M tokens. Toward the top right is more intelligence per dollar.
What is the best cheap AI model in 2026?
DeepSeek V4 is the best cheap AI model right now: near-frontier reasoning, a 1M token context window, and open weights at $0.435 per million input tokens. MiniMax-M3 at $0.30 per million is the runner-up with an Intelligence Index score of 54.7, remarkable at that price.
What is the cheapest AI model that is still good?
GLM 4.7 Flash at $0.06 per million input tokens and Qwen3.5 Flash at $0.065 are the cheapest models that stay genuinely usable, and DeepSeek V4 Flash at $0.098 adds a 1M token context window. All three suit high-volume pipelines, summarization, and sub-agent steps rather than hard reasoning.
How much cheaper are these than GPT-5.5 or Claude Opus?
Flagships run $2.50 to $15 per million input tokens; everything on this list costs at most about $1, and the high-volume picks sit under $0.10. In practice that is a 5x to 100x price gap. Output tokens widen it further, since flagship output prices reach $15 per million while budget models charge $0.20 to $5.
Are cheap models good enough for AI agents?
For routine agent steps, yes: file edits, summaries, structured extraction, and short tool chains work well on models like DeepSeek V4 and GPT-5.4 Mini. Long multi-step runs with heavy tool use are where cheap models slip. A common setup routes everyday steps to a cheap model and escalates hard planning to a flagship.
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June 2026