OpenClaw AI Model Cost Comparison: Claude vs GPT vs DeepSeek
Compare Claude, GPT-4o, and DeepSeek costs for running OpenClaw in 2026. Which model gives the best performance per dollar?
Choosing your LLM for OpenClaw is the single largest factor in your monthly operating costs. The difference between Claude 3.5 Sonnet and DeepSeek V3 for the same workload is approximately 10–20×. This guide breaks down costs by model, compares quality for typical OpenClaw tasks, and provides a clear recommendation for each use case.
2026 Pricing Reference
| Model | Input ($/1M tokens) | Output ($/1M tokens) | Context Window |
|---|---|---|---|
| Claude 3.5 Sonnet | $3.00 | $15.00 | 200K |
| Claude 3 Haiku | $0.25 | $1.25 | 200K |
| GPT-4o | $5.00 | $15.00 | 128K |
| GPT-4o Mini | $0.15 | $0.60 | 128K |
| DeepSeek V3 | $0.27 | $1.10 | 64K |
| Gemini 1.5 Flash | $0.075 | $0.30 | 1M |
| Llama 3.1 70B (via OpenRouter) | $0.35 | $0.40 | 128K |
Prices are approximate and change frequently. Check provider dashboards for current rates.
Cost for Typical OpenClaw Workloads
Scenario: Active user, 20 conversations/day, average 50K tokens/conversation (with skills and history)
| Model | Daily Cost | Monthly Cost |
|---|---|---|
| Claude 3.5 Sonnet | $1.65 | $49.50 |
| GPT-4o | $2.25 | $67.50 |
| Claude 3 Haiku | $0.14 | $4.20 |
| GPT-4o Mini | $0.08 | $2.40 |
| DeepSeek V3 | $0.15 | $4.50 |
| Gemini 1.5 Flash | $0.04 | $1.20 |
The gap between premium and budget models is staggering at scale.
Quality Comparison for OpenClaw Tasks
Conversational Intelligence
Winner: Claude 3.5 Sonnet — best at nuanced conversation, understanding context, and following complex instructions. GPT-4o is close. DeepSeek V3 is surprisingly capable for its price.
Code Generation
Winner: Claude 3.5 Sonnet — consistently produces correct, well-commented code. GPT-4o similar. Haiku and DeepSeek struggle with complex multi-file codebases.
Task Planning and Multi-Step Reasoning
Winner: Claude 3.5 Sonnet — handles complex skill chains and multi-step automations best. Haiku often loses track of context in extended planning tasks.
Summarisation and Writing
Winner: Tie (Claude / GPT-4o / DeepSeek V3) — all models produce good summaries. DeepSeek V3 is surprisingly strong for its price point on writing tasks.
Tool Use and Function Calling
Winner: Claude 3.5 Sonnet / GPT-4o — most reliable for multi-tool skill chains. Haiku and smaller models occasionally hallucinate function parameters.
Recommended Configuration
For maximum quality: Claude 3.5 Sonnet as default.
For best value: DeepSeek V3 as default, Claude Sonnet for code generation tasks only. Achieves ~80% of the quality at ~10% of the cost.
For minimum cost: Gemini 1.5 Flash as default (excellent context window, very low cost). Upgrade to Claude for complex tasks.
Hybrid approach (recommended):
{
"model_routing": {
"default": "deepseek-v3",
"code": "claude-sonnet-3-5",
"research": "claude-sonnet-3-5",
"simple_tasks": "gemini-flash"
}
}
Frequently Asked Questions
Which model handles long conversations best?
Claude 3.5 Sonnet with its 200K context window handles very long conversations better than GPT-4o Mini (128K) or DeepSeek V3 (64K). For extended sessions, the larger context window has real value.
Is DeepSeek private?
DeepSeek processes requests on servers based in China. If data sovereignty is a concern, use Anthropic or OpenAI models, or self-host Qwen or Llama models locally.
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