AI API Cost Comparison 2026: Every Major Model, Every Price, Every Scenario
Pricing verified as of 2026-08-19. DeepSeek changed to peak/off-peak pricing on 2026-08-17.
The Master Price Table
Every major AI model API, input and output pricing per million tokens, ranked most cost-effective to most expensive. June 2026 pricing:
| Model | Provider | Input / 1M | Output / 1M | Total / 1M (in+out)* | vs GPT-4o |
|---|---|---|---|---|---|
| GLM-4-Flash | Zhipu / AIWave | $0.001 | $0.002 | $0.00 | -100% |
| DeepSeek V4-Flash | DeepSeek / AIWave | $0.638 | $1.914 | $2.552 | -80% |
| DeepSeek V4-Pro | DeepSeek / AIWave | $1.914 | $5.742 | $7.656 | -39% |
| Kimi K2.6 | Moonshot / AIWave | $0.70 | $2.80 | $3.50 | -72% |
| GLM-5.1 | Zhipu / AIWave | $0.90 | $3.60 | $4.50 | -64% |
| ERNIE 5.1 | Baidu / AIWave | $1.20 | $4.80 | $6.00 | -52% |
| GPT-4.1 | OpenAI | $2.00 | $8.00 | $10.00 | -20% |
| Claude 3.7 Sonnet | Anthropic | $3.00 | $15.00 | $18.00 | +44% |
| GPT-4o | OpenAI | $2.50 | $10.00 | $12.50 | — |
*Total = input + output price for a typical 1:1 token ratio scenario. Your ratio will vary by use case.
Scenario 1: AI Chatbot (Customer Support, 1M Messages/Month)
Assumptions: 800 input tokens per message (history + system prompt), 200 output tokens.
| Model | Monthly Tokens | Monthly Cost | Annual Cost |
|---|---|---|---|
| GPT-4o | 800M in / 200M out | $4,000 | $48,000 |
| Claude 3.7 Sonnet | 800M in / 200M out | $5,400 | $64,800 |
| DeepSeek V4-Pro | 800M in / 200M out | $2,679.6 | $32,155.2 |
| GLM-4-Flash | 800M in / 200M out | $0 | $0 |
A $48K/year OpenAI bill drops to $5.2K on DeepSeek. Or $0 on GLM-4-Flash.
Scenario 2: AI Code Assistant (500K Completions/Month)
Assumptions: 2,000 input tokens (file context), 500 output tokens per completion.
| Model | Monthly Cost | Annual Cost |
|---|---|---|
| GPT-4o | $5,000 | $60,000 |
| Claude 3.7 Sonnet | $6,750 | $81,000 |
| DeepSeek V4-Pro | $545 | $6,540 |
DeepSeek V4-Pro scores 92.6% on HumanEval vs GPT-4o's 90.2%. And costs $53,460 less per year. If you're a startup building a code tool, this is the difference between "we need Series A" and "we're profitable."
Scenario 3: Content Platform (100K Articles/Month)
Assumptions: 500 input tokens (instructions + examples), 1,500 output tokens per article.
| Model | Monthly Cost | Annual Cost |
|---|---|---|
| GPT-4o | $1,625 | $19,500 |
| DeepSeek V4-Pro | $178 | $2,136 |
| GLM-4-Flash | $0 | $0 |
Scenario 4: Small Developer (10M Input + 2M Output/Month)
The indie hacker / solo dev / small team tier. This is where most readers actually operate.
| Model | Monthly Cost |
|---|---|
| GPT-4o | $45.00 |
| Claude 3.7 Sonnet | $60.00 |
| DeepSeek V4-Pro | See current pricing |
| DeepSeek V4-Flash | See current pricing |
$45/month vs $4.90/month. That's Netflix vs a coffee. For the same API format, the same integration effort, and models that score equivalently on benchmarks.
The Quality Question: Does Lower Price Mean Lower Quality?
| Model | MMLU (Knowledge) | HumanEval (Code) | Chatbot Arena | Cost/M Tokens |
|---|---|---|---|---|
| GPT-4o | 88.7% | 90.2% | #5 | $12.50 |
| DeepSeek V4-Pro | 89.1% | 92.6% | #3 | See current pricing |
| GLM-5.1 | 86.2% | 88.9% | #12 | $4.50 |
| GLM-4-Flash | 78.4% | 82.1% | #35 | $0.00 |
The model with the highest benchmark scores is the second most cost-effective. Price does not equal quality in the AI API market. It equals brand, infrastructure cost structure, and competitive pressure.
The Hybrid Strategy: Don't Pick One Model
Smart teams don't use one model. They route tasks by complexity:
Task complexity routing:
Simple (classification, summarization) → GLM-4-Flash ($0)
Standard (chat, content, most features) → DeepSeek V4-Pro ($7.656/M blended)
Complex (reasoning, analysis, long docs) → GLM-5.1 / Kimi ($3.50-4.50/M)
Edge cases (where Chinese AI falls short) → GPT-4o ($12.50/M)
Blended cost at 60/30/8/2 split: ~$1.35 per million tokens
Pure GPT-4o: $12.50 per million tokens
Annual savings: 89%AIWave gives you all these models through one API key. No separate accounts. No separate billing. Route at the request level.
Benchmark and route evaluation
A $5 minimum top-up. Compare all available model routes side by side. One API key.
Compare Models & Explore Models →Related Articles
- DeepSeek vs GLM vs Kimi vs ERNIE: 2026 Developer Comparison — Honest comparison across coding and reasoning
- I Cut My AI Bill 90% by Switching to Chinese Models — From $450 to $41/month real case study
- How Startups Cut AI Costs 90% — The Complete Playbook — Three-tier AI model strategy
Stop overpaying for AI. Compare available model routes and use a $5 minimum top-up on AIWave.
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