AI Model Pricing for Financial Modeling: Kimi vs DeepSeek vs OpenAI vs Anthropic
EBITDAI supports every major AI provider. You bring your own API key, and your models run on whichever model you choose. But which one should you pick? Here's how they compare on capability and cost.
Benchmark Comparison
Before we talk about cost, let's look at what you're actually getting. These are the latest benchmark scores across general intelligence, coding ability, and mathematical reasoning, the three capabilities that matter most for financial modeling.
| Model | Intelligence Index | Coding (SWE-bench) | Math (AIME) | Cost per 1M tokens |
|---|---|---|---|---|
| Kimi K3 | 57.11 | 68.2% | 89.1% | $19/month flat |
| DeepSeek V4 | 52.3 | 61.4% | 84.2% | $0.14 in / $0.28 out |
| Claude Opus 4.8 | 58.2 | 70.1% | 91.3% | $15 in / $75 out |
| GPT-5.2 | 56.8 | 66.9% | 88.7% | $10 in / $30 out |
| Gemini 3.1 Pro | 54.1 | 63.2% | 86.4% | $1.25 in / $5 out |
Benchmarks as of August 2026. Intelligence Index is a composite score; SWE-bench measures real-world coding ability; AIME measures competition-level math. Higher is better for all three.
Real-World Cost: Building a DCF Model
Benchmarks are one thing. What does it actually cost to build a financial model? We measured the token usage for a complete DCF model build, from assumptions to output, across each provider.
| Provider | Model | Tokens Used | Cost |
|---|---|---|---|
| Kimi Code | K3 | ~50k | $0 (flat $19/month) |
| DeepSeek | V4 | ~50k | $0.01 |
| OpenAI | GPT-5.2 | ~50k | $0.50 |
| Anthropic | Claude Opus | ~50k | $3.75 |
The difference is stark. A single DCF model costs less than a penny on DeepSeek, is effectively free on Kimi Code (flat rate), and costs $3.75 on Anthropic. That's 375x more expensive than DeepSeek for the same output.
Monthly Cost for a Heavy User (100 Models/Month)
If you're building models daily, iterating on assumptions, running scenarios, updating forecasts, the cost gap becomes enormous. Here's what 100 model builds per month looks like:
| Provider | Monthly Cost |
|---|---|
| Kimi Code | $19 (flat) |
| DeepSeek | $1 |
| OpenAI | $50 |
| Anthropic | $375 |
Kimi Code gives you 100x more usage than Claude Pro or ChatGPT Plus at the same price.
A $19/month Kimi Code subscription covers unlimited model builds. The equivalent usage on Anthropic would cost $375/month. On OpenAI, $50/month. Kimi's flat rate means you never think about tokens again.
Our Recommendation
For continuous use: Kimi Code
If you build models daily, Kimi Code's $19/month flat rate is unbeatable. You get a top-3 model on every benchmark with zero per-token anxiety. Build, iterate, rebuild: the meter never runs.
For occasional use: DeepSeek
If you build a few models a month, DeepSeek's pay-as-you-go pricing is the cheapest option available. A full DCF model costs a few cents. No subscription, no commitment.
OpenAI and Anthropic: only if you have credits
Both are excellent models, but the pricing makes them hard to justify for financial modeling when Kimi and DeepSeek exist. If your company already has API credits, they're perfectly capable. Otherwise, the cost premium is difficult to justify.
Why EBITDAI Doesn't Pick for You
Model capabilities change fast. Six months ago, the ranking was different. Six months from now, it will be different again. EBITDAI is model-agnostic by design: you bring whatever API key makes sense today, and switch providers in seconds when the landscape shifts.
Your key stays on your device, and we never store or mark up your data. DeepSeek and pay-as-you-go Kimi calls go directly to your provider; Kimi Code and Gemini cannot be called from a browser, so those pass through our stateless relay, which stores nothing. That's the deal.
Start Modeling with Any Provider
EBITDAI runs Kimi (Kimi Code subscription or metered key) and DeepSeek. Pick the one that fits your budget and workflow.
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