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GPT-5.4 nano vs Magistral Small

Compare OpenAI and Mistral AI AI models

OpenAI
GPT-5.4 nano
vs
Mistral AI
Magistral Small

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

GPT-5.4 nano

Per Request:$0.000825
Daily:$0.0825
Monthly:$2.475
Yearly:$30.1125

Magistral Small

Per Request:$0.001250
Daily:$0.125
Monthly:$3.75
Yearly:$45.625

Cost Differences

+$0.000425
Per Request
+$0.0425
Daily
+$1.275
Monthly
+$15.5125
Yearly

Magistral Small costs more than GPT-5.4 nano

Feature Comparison

FeatureGPT-5.4 nanoMagistral Small
ProviderOpenAIMistral AI
Input Price$0.20/1M tokens$0.50/1M tokens
Output Price$1.25/1M tokens$1.50/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output8,192 tokens16,384 tokens
Categoryefficientreasoning
Capabilities
text
textreasoning
Release Date3/6/202612/15/2025

GPT-5.4 nano vs Magistral Small: Which Should You Choose?

Choosing between GPT-5.4 nano and Magistral Small depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.4 nano is the more affordable option at $0.20/1M input tokens60% cheaper than Magistral Small.

These models come from different providers — OpenAI and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: GPT-5.4 nano is a efficient model while Magistral Small is reasoning. This means they're optimized for different workloads. Magistral Small targets more demanding workloads, while GPT-5.4 nano provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-5.4 nano charges $1.25/1M output tokens vs $1.50 for Magistral Small. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.4 nano has the edge here at $1.25/1M output tokens.

Best Use Cases

Choose GPT-5.4 nano when:

  • • Budget is a primary concern
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Magistral Small when:

  • • You need more capabilities (reasoning)
  • • You need longer outputs (up to 16,384 tokens)
  • • You're already using Mistral AI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

GPT-5.4 nano (OpenAI)

Magistral Small (Mistral AI)

Start using GPT-5.4 nano today

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Start using Magistral Small today

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Frequently Asked Questions

Which is cheaper, GPT-5.4 nano or Magistral Small?
GPT-5.4 nano is cheaper for input tokens at $0.20 per million tokens vs $0.50 for Magistral Small — that's 60% savings on input costs.
What is the context window difference between GPT-5.4 nano and Magistral Small?
GPT-5.4 nano supports 128,000 tokens while Magistral Small supports 128,000 tokens — a difference of 0 tokens in favor of GPT-5.4 nano.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, GPT-5.4 nano is the lower-cost option, while GPT-5.4 nano offers a larger context window (128,000 vs 128,000 tokens). Choose GPT-5.4 nano for budget sensitivity or GPT-5.4 nano for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, GPT-5.4 nano costs about $2.475/month and Magistral Small costs about $3.75/month. Overall, GPT-5.4 nano has lower combined input + output rates ($0.20 in, $1.25 out) vs Magistral Small.

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