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GPT-5.4 mini vs Mistral Small 4 — Budget AI Showdown
Mistral Small 4 is 87% cheaper on input and 93% cheaper on output. The ultimate budget AI comparison for cost-conscious developers choosing between OpenAI and Mistral.
Pricing data verified: Jul 4, 2026
All Budget Models Compared
Budget-tier AI models from major providers, ranked by input price.
| Model | Provider | Tier | Input (per 1M) | Output (per 1M) | Context |
|---|---|---|---|---|---|
| GPT-oss 20B | OpenAI | Budget | $0.08 | $0.35 | 128K |
| Gemini 2.5 Flash-Lite | Budget | $0.10 | $0.40 | 1M | |
| Mistral Small 4 | Mistral | Budget | $0.10 | $0.30 | 128K |
| DeepSeek V4 Flash | DeepSeek | Budget | $0.14 | $0.28 | 1M |
| GPT-5.4 nano | OpenAI | Budget | $0.20 | $1.25 | 400K |
| Llama 4 Maverick | Budget | $0.27 | $0.85 | 1M | |
| DeepSeek V4 Pro | DeepSeek | Budget | $0.435 | $0.87 | 1M |
| GPT-5.4 mini | OpenAI | Budget | $0.75 | $4.50 | 400K |
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Which Should You Choose?
Chatbot / Customer Support
High volume, short responses. Cost per message matters most. Both models handle conversational AI well.
Code Generation
Complex reasoning, longer outputs. Quality and accuracy matter. Both handle coding tasks well.
Long Document Analysis
Processing large documents, legal contracts, or codebases. Context window is critical.
High-Volume Data Processing
Processing large datasets, extracting structured data, or running batch operations at scale.
OpenAI Ecosystem
Already using OpenAI SDK, Assistants API, or integrated tooling. Switching has friction.
Structured Output
JSON mode, function calling, and structured data extraction. Both handle this well.
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Frequently Asked Questions
Is Mistral Small 4 cheaper than GPT-5.4 mini?
Yes, Mistral Small 4 is dramatically cheaper. It costs $0.10/$0.30 per 1M tokens while GPT-5.4 mini costs $0.75/$4.50. That's 87% cheaper on input and 93% cheaper on output. At 1M tokens/month, Mistral Small 4 costs $0.40 vs GPT-5.4 mini's $5.25 — saving $4.85/month.
How much can I save switching from GPT-5.4 mini to Mistral Small 4?
You can save up to 90%+ on your AI API costs by switching to Mistral Small 4. Input tokens are 87% cheaper ($0.10 vs $0.75) and output tokens are 93% cheaper ($0.30 vs $4.50). For a typical workload of 1M input + 500K output tokens per month, you'd save about $4.85/month — that's a 92% reduction.
Is Mistral Small 4 good enough for production?
Yes, Mistral Small 4 is production-ready and widely used for chatbots, code generation, and data processing. It handles most standard tasks well at a fraction of the cost. While GPT-5.4 mini may have an edge on some complex reasoning tasks, Mistral Small 4 is an excellent value for production workloads that don't require cutting-edge capabilities.
Which has a bigger context window: GPT-5.4 mini or Mistral Small 4?
GPT-5.4 mini has a 400K token context window, while Mistral Small 4 has a 128K token context window. GPT-5.4 mini supports 3x more context, which is critical for long document analysis, large codebases, and complex multi-step reasoning tasks.
Should I use GPT-5.4 mini or Mistral Small 4 for my chatbot?
For most chatbot use cases, Mistral Small 4 is the better choice. It's 87% cheaper on input and 93% cheaper on output, which matters a lot at scale. It handles conversational AI, customer support, and FAQ-style queries well. Choose GPT-5.4 mini only if you need the larger 400K context window or are locked into the OpenAI ecosystem.
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