Cheapest LLM API (March 2026) — DeepSeek $0.14 vs Gemini Flash $0.10 Per 1M Tokens

March 2026: Gemini 2.0 Flash-Lite at $0.075/M, DeepSeek V3.2 at $0.28/M. Compare cheapest LLM APIs with free tiers. Save up to 90% on your API costs now!

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Cheapest LLM API — March 2026

Last updated: March 2, 2026 No pricing changes since February 2026.

Looking to save money on AI API costs? This guide covers the cheapest LLM API options in 2026, with real pricing and use cases.

Quick Answer: Which is Cheapest?

ProviderModelInput/MOutput/MVerdict
GoogleGemini 2.0 Flash-Lite$0.075$0.30Cheapest overall
GoogleGemini 2.5 Flash-Lite$0.10$0.40Cheapest with free tier
GoogleGemini 2.0 Flash$0.10$0.40Free tier, proven
DeepSeekV3.2$0.28$0.42Best value for quality

DeepSeek V3.2: The Value Leader

DeepSeek V3.2 unified chat and reasoning into one model:

  • Input: $0.28 per million tokens
  • Output: $0.42 per million tokens
  • Cache hit: $0.028/M input (90% off)
  • Context: 128K
  • Strengths: Chat and reasoning at one price, open weights available

At $0.28/M input, DeepSeek is still far cheaper than GPT-5 or Claude for most tasks.

Gemini Flash-Lite: Cheapest Overall

Google's Gemini 2.0 Flash-Lite wins on pure price:

  • Input: $0.075 per million tokens
  • Output: $0.30 per million tokens
  • Context: 1M tokens
  • Free tier: Available

For high-volume, simple tasks, Gemini 2.0 Flash-Lite is unbeatable. The 2.5 Flash-Lite version ($0.10/$0.40) is slightly more capable.

When to Use Each

Use CaseRecommendedWhy
High volume simple tasksGemini 2.0 Flash-LiteCheapest at $0.075/M input
Best quality/valueDeepSeek V3.2Chat + reasoning at $0.28/M
Coding tasksMistral CodestralOptimized for code
Complex reasoningGPT-5 MiniBetter quality, still affordable

Cost Comparison Examples

1M API Calls (Simple)

ProviderCost
GPT-5.4 Pro$250
Claude Opus 4.6$25
Gemini 2.0 Flash-Lite$0.075
DeepSeek V3.2$0.28

10K Tokens/Request (1M total)

ProviderCost
GPT-5.4 Pro$300
Claude Opus 4.6$30
Gemini 2.0 Flash-Lite$0.75
DeepSeek V3.2$2.80

How to Switch

DeepSeek is OpenAI API-compatible — just change the base URL:

# DeepSeek V3.2
from openai import OpenAI
client = OpenAI(
    api_key="your-deepseek-key",
    base_url="https://api.deepseek.com"
)

# Google Gemini
import google.generativeai as genai
genai.configure(api_key="your-key")

More Resources

Last updated: March 2026