GPT-4o-mini
OpenAI • text+image+file->text
Context Window128K
Knowledge CutoffJul 18, 2024
GPT-4o-mini vs Mistral: Mistral Small 3
GPT-4o mini for broader capability coverage and tool use, Mistral Small for EU-hosted deployments and fine-tuning flexibility.
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Mistral: Mistral Small 3
Mistral AI • text->text
Context Window33K
Knowledge CutoffJan 30, 2025
Editorial Verdict
GPT-4o mini is the higher-capability option; Mistral Small offers European data residency.
GPT-4o mini significantly outperforms Mistral Small on reasoning and coding benchmarks while maintaining competitive pricing and a much larger context window. Mistral Small is a solid European-made model with good performance, but it falls behind GPT-4o mini on capability. For most use cases, GPT-4o mini is the better choice. Mistral Small is worth considering if you prefer European data residency or have existing Mistral infrastructure.
GPT-4o-mini
- Higher reasoning and coding benchmark scores across the board
- 128K context window — 4x larger than Mistral Small's 32K
- Mature ecosystem with reliable API, function calling, and JSON mode
Best for: General-purpose mini tasks requiring strong reasoning and coding capability
Mistral: Mistral Small 3
- Competitive pricing with good performance on standard tasks
- European data residency options for GDPR-sensitive applications
- Fast inference optimized for European infrastructure
Best for: GDPR-sensitive applications requiring European data processing infrastructure
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | GPT-4o-mini | Mistral: Mistral Small 3 | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $0.15 | $0.05 | 🏆 Mistral: Mistral Small 3 |
| Output (per 1M tokens) | $0.60 | $0.08 | 🏆 Mistral: Mistral Small 3 |
| Request fee | N/A | N/A | N/A |
| Image fee | N/A | N/A | N/A |
Cost Estimator
Estimate monthly billing using real OpenRouter prices.
GPT-4o-mini Total
$14.25Mistral: Mistral Small 3 Total
$2.95Estimated Monthly Savings: $11.3 with Mistral: Mistral Small 3
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
GPT-4o-miniMMLU Signal (Reasoning)Mistral: Mistral Small 3
69%
64%
GPT-4o-miniHumanEval Signal (Coding)Mistral: Mistral Small 3
76%
71%
GPT-4o-miniAgentic Tooling SignalMistral: Mistral Small 3
84%
79%
GPT-4o-miniMultimodal SignalMistral: Mistral Small 3
78%
64%
Capabilities Matrix
Feature highlights for architecture and production fit.
GPT-4o-mini Strengths
- Supports image inputs for multimodal analysis workflows.
- Strong tool-calling and structured response support.
- Balanced general-purpose profile for chat, extraction, and automation tasks.
Mistral: Mistral Small 3 Strengths
- Strong tool-calling and structured response support.
- Balanced general-purpose profile for chat, extraction, and automation tasks.
API Implementation
Quick start snippets for each provider style.
OpenAI (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="openai/gpt-4o-mini",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Mistral AI (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="mistralai/mistral-small-24b-instruct-2501",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Choose GPT-4o-mini when...
- Your application includes visual reasoning and image understanding tasks.
- You rely on function calling, tool chaining, and structured output contracts.
- You want a balanced default for mixed chat and workflow automation workloads.
Choose Mistral: Mistral Small 3 when...
- You rely on function calling, tool chaining, and structured output contracts.
- You want a balanced default for mixed chat and workflow automation workloads.
- You can measure quality with your own benchmark and prompt set.
Frequently Asked Questions
Practical checks before selecting a production model.
Is GPT-4o mini better than Mistral Small?
It depends on the workload. GPT-4o mini and Mistral Small differ in pricing, context window, and capability mix — see the side-by-side table above for the breakdown.
What's the price difference between GPT-4o mini and Mistral Small?
GPT-4o mini: $0.15 per 1M input tokens. Mistral Small: $0.05 per 1M input tokens. Output token pricing typically runs 2-5x higher.
Which model is better for coding?
Coding preference depends on your stack and tool-calling needs. Compare the coding signal row, test with your repository tasks, and validate latency in your target region.
Which model is cheaper at scale?
Input and output token pricing can diverge by workload profile. Use the estimator with your monthly request count and token mix to get a realistic cost difference.
Are these official benchmark numbers?
Pricing is live from OpenRouter. Benchmark rows are ModelsAtlas metadata-based signals and should be treated as directional guidance, not official leaderboard scores.
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