Benchmark and route evaluation
Pricing verified as of 2026-08-19. DeepSeek changed to peak/off-peak pricing on 2026-08-17.
First, Let's Just Look at the Numbers
No commentary. No spin. Just the price per million tokens for input and output, as of June 2026:
| Model | Input (per 1M tokens) | Output (per 1M tokens) | vs GPT-4o |
|---|---|---|---|
| GPT-4o | $2.50 | $10.00 | — |
| GPT-4.1 | $2.00 | $8.00 | -~20% |
| Claude 3.7 Sonnet | $3.00 | $15.00 | More expensive |
| DeepSeek V4-Pro | $1.914 | $5.742 | -89% |
| DeepSeek V4-Flash | $0.638 | $1.914 | -94% |
| GLM-5.1 | $0.90 | $3.60 | -64% |
| GLM-4-Flash | Check live rate | Check live rate | -100% |
| Kimi K2.6 | $0.70 | $2.80 | -72% |
| ERNIE 5.1 | $1.20 | $4.80 | -52% |
AIWave pricing adds 10-70% markup over base Chinese API cost for unified access, USD billing, and English support. Even with markup, you're looking at 60-94% savings.
Real-World: What These Numbers Actually Mean
Pricing per million tokens is abstract. Let's ground this in reality with three common scenarios.
Scenario 1: Customer Support Chatbot (1M messages/month)
A SaaS company runs an AI chatbot handling 1 million customer messages per month. Average 800 input tokens (conversation history + context) and 200 output tokens per message.
| Provider | Monthly Input | Monthly Output | Monthly Cost | Annual Cost |
|---|---|---|---|---|
| GPT-4o | 800M tokens | 200M tokens | $4,000 | $48,000 |
| DeepSeek V4-Pro | 800M tokens | 200M tokens | $1.914 | $5.742 |
| GLM-4-Flash | 800M tokens | 200M tokens | $0 | $0 |
Switch to DeepSeek V4-Pro: save $42,768/year. Switch to GLM-4-Flash: save $48,000/year. That's not a cost optimization — that's a new hire, a marketing budget, or profit.
Scenario 2: AI Code Assistant (500K requests/month)
A developer tool generates code completions for 500,000 requests per month. Average 2,000 input tokens (file context) and 500 output tokens per request.
| Provider | Monthly Cost | Annual Cost |
|---|---|---|
| GPT-4o | $5,000 | $60,000 |
| DeepSeek V4-Pro | $545 | $6,540 |
Annual savings: $53,460. At that price, you can run DeepSeek V4-Pro in parallel with GPT-4o as a fallback and still save $50K+.
Scenario 3: Content Generation Platform (100K articles/month)
A content platform generates 100,000 articles per month. Average 500 input tokens (instructions + examples) and 1,500 output tokens per article.
| Provider | Monthly Cost | Annual Cost |
|---|---|---|
| GPT-4o | $1,625 | $19,500 |
| DeepSeek V4-Pro | $178 | $2,136 |
| GLM-4-Flash | $0 | $0 |
Even at moderate scale, the gap is absurd.
"But Is Cheap AI Actually Good?"
This is the question everyone asks. The answer is simpler than you think:
No, cheap AI is not automatically good. But these specific models are not cheap because they're bad — they're cheap because China has different infrastructure costs, different labor costs, and different competitive dynamics. DeepSeek was built with ~$5.6M in training cost vs hundreds of millions for GPT-4. That efficiency shows up in the pricing.
Here's what the benchmarks say in June 2026:
| Model | Chatbot Arena Rank | MMLU | HumanEval (Code) | Cost/M Tokens |
|---|---|---|---|---|
| GPT-4o | #5 | 88.7% | 90.2% | $12.50 |
| DeepSeek V4-Pro | #3 | 89.1% | 92.6% | See current pricing |
| GLM-5.1 | #12 | 86.2% | 88.9% | $4.50 |
| GLM-4-Flash | #35 | 78.4% | 82.1% | $0.00 |
The Hidden Costs of Staying on OpenAI
The price tag is the obvious cost. Here's what people miss:
- Single-vendor lock-in. When OpenAI changes its pricing (which it does), you have no alternative. When it has an outage (which it does), your product goes down with it.
- No model diversity. Different tasks need different models. OpenAI gives you 3-4 options. AIWave gives you 12+ — from DeepSeek for coding to Kimi for 256K-context document work to GLM-4-Flash for budget tasks.
- Rate limits at scale. OpenAI's rate limits get tight when you scale. Multi-model routing through AIWave means you're never throttled by a single provider.
- The "it costs too much to switch" fallacy. Changing one
base_urlis not a migration cost — it's a configuration change. Read the 3-minute migration guide.
How to Build a Cost-Efficient AI Stack
You don't go all-in on one model. You tier your tasks:
| Tier | Model | Cost | Use For |
|---|---|---|---|
| Prepaid credits — pay only for what you use | GLM-4-Flash | $0.00 | Simple classification, internal tools, prototyping, non-critical tasks |
| Standard Tier | DeepSeek V4-Pro | See current pricing/M | Most user-facing features, coding, analysis, content generation |
| Specialized Tier | GLM-5.1 / Kimi K2.6 | $3.50-4.50/M | Long-form reasoning, document analysis, complex tool chains |
| Fallback Tier | GPT-4o | $12.50/M | Edge cases where Chinese models underperform |
Even with GPT-4o as a 5% fallback, your blended cost is under $3 per million tokens — a 76% reduction from pure GPT-4o. And AIWave makes this routing trivial through a single API endpoint.
The $5 Challenge
Here's the thing. You don't need to believe anything in this article. You can test every claim in 5 minutes during evaluation.
Sign up on AIWave. Use a $5 minimum top-up. Run your actual workload on DeepSeek V4-Pro. Compare the output against GPT-4o. Run the math.
If the quality isn't there, walk away — you spent $0 and learned something. If the quality is there (spoiler: for most tasks, it is), you just found a way to cut your AI costs by 60-94%.
Every month you don't test this, you're paying 10x more than you need to. That's not a technical decision — that's a financial one.
One balance. available model routes from 9 Chinese providers. One integration boundary.
Stop paying OpenAI prices for Chinese model quality. Switch in 3 minutes.
Compare Models & Explore Models →Pay with USD or PayPal. Email or GitHub account options are available.
Related Articles
- AI API Cost Comparison 2026: each listed route, Every Price — Complete pricing breakdown across all providers
- Chinese AI API Access: A Controlled Quickstart — Email or GitHub account options with USD checkout
- Recalculate the token mix with the dated rate card before choosing a route.
Stop overpaying for AI. Compare available model routes and use a $5 minimum top-up on AIWave.
Explore Models →Related: compare listed model routes
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