DeepSeek vs OpenAI vs Claude Cost Calculator 2026
Compare API pricing and save up to 94% on LLM costs with our free calculator
| LLM Provider | Input / 1M Tokens | Output / 1M Tokens | Monthly Estimate* |
|---|---|---|---|
| DeepSeek V3.2 | $0.28 | $0.42 | — |
| Claude Haiku 4.5 | $0.25 | $1.25 | — |
| GPT-5 | $1.25 | $10.00 | — |
| Claude Sonnet 4.6 | $3.00 | $15.00 | — |
| GPT-5.2 (Flagship) | $1.75 | $14.00 | — |
*Based on 50/50 input/output token split. Adjust multiplier for retry/quality overhead.
DeepSeek V3.2 vs GPT-5.2 vs Claude Sonnet 4.6: 2026 LLM Pricing Guide
The AI API market has fundamentally shifted in 2026. DeepSeek V3.2 has emerged as the cost leader at $0.28/$0.42 per 1M tokens, while OpenAI’s GPT-5.2 flagship commands $1.75/$14.00. For SaaS founders and enterprises, understanding these cost differences is critical to protecting margins and accelerating growth.
March 2026 API Pricing Breakdown
🏆 DeepSeek V3.2: $0.28 / $0.42 per 1M Tokens
The market’s most aggressive pricing. DeepSeek V3.2 (released March 2025) unified chat and reasoning into one model. Cache hits cost just $0.028/M (90% discount). Ideal for cost-sensitive applications, high-volume inference, and teams willing to optimize for value over brand loyalty.
💰 Claude Haiku 4.5: $0.25 / $1.25 per 1M Tokens
Anthropic’s budget offering and fastest model. Haiku provides reasonable performance for summarization, classification, and simpler tasks. At $0.25/M input, it’s actually cheaper than DeepSeek on input alone—but output costs more at $1.25.
🔵 GPT-5: $1.25 / $10.00 per 1M Tokens
OpenAI’s mid-tier flagship released 2025. Strong all-around performance for most production workloads. 4.5x more expensive than DeepSeek on inputs, but offers mature API ecosystem and enterprise SLAs.
🔷 Claude Sonnet 4.6: $3.00 / $15.00 per 1M Tokens
Anthropic’s flagship model. Premium pricing reflects strong performance on complex reasoning, coding, and multi-turn conversations. 10x more expensive than DeepSeek—chosen only by teams where output quality justifies the premium.
🟦 GPT-5.2 (Flagship): $1.75 / $14.00 per 1M Tokens
OpenAI’s most advanced model released late 2025. Highest reasoning capability but 6x more expensive than DeepSeek V3.2. Reserved for enterprises where cost is secondary to absolute performance.
Batch Mode: The 50% Discount Game Changer
Every major LLM provider offers Batch Mode pricing – a 50% discount for asynchronous requests with 24-hour turnaround. This completely changes the unit economics.
Standard Mode vs Batch Mode (1M monthly tokens):
- DeepSeek V3.2: $350 (standard) → $175 (batch) – saves $2,100/year
- GPT-5.2: $19,875 (standard) → $9,937 (batch) – saves $119,280/year
- Claude Sonnet: $45,000 (standard) → $22,500 (batch) – saves $270,000/year
The Pivot Point Shifts Dramatically: With Batch Mode, DeepSeek becomes even more dominant. At 2.5x retry multiplier in batch mode, DeepSeek costs $437/month vs GPT-5.2 batch at $24,843/month. That’s 97% savings.
When to Use Batch Mode: Data processing pipelines, log analysis, bulk content generation, non-real-time inference, scheduled jobs. If you can wait 24 hours, Batch Mode is a no-brainer.
How to Use This Calculator
- Enter your monthly token volume (sum of all input + output tokens)
- Enable Batch Mode if your workload allows 24-hour turnaround
- Select your preferred model or compare across providers
- Adjust the Quality/Retry Multiplier if you rerun requests (typical: 1.2x – 2.5x)
- Review the monthly cost and comparison table
The 2026 AI Economics Shift
DeepSeek’s market entry compressed API pricing 75-90% across the board. The savings available today weren’t possible 12 months ago. Use this calculator to stress-test your assumptions and find your break-even point before migrating to a new LLM provider.
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