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Home/GPT-4o Mini vs Mistral Small 3.1
Winner: GPT-4o MiniOpenAI vs Mistral

GPT-4o Mini vs Mistral Small 3.1

GPT-4o Mini wins on coding (65 vs 55) and writing quality. Mistral Small 3.1 wins on price ($0.1 vs $0.15/1M input). For most workflows, GPT-4o Mini is the stronger default — openai's fastest, cheapest option for everyday high-volume tasks.

Last verified Jun 26, 2026/Model data modified Jun 26, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
OpenAIBudget
Input cost
$0.15/1M
Context
128k tokens
Speed
Very fast

Clear recommendation block

The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.

Best overall model

GPT-4o Mini

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Why this recommendation

GPT-4o Mini is the safest overall answer here when you want the strongest default instead of the lowest list price.

OpenAIBudget
Best for
High-volume everyday tasks where GPT-4o quality is overkill
Price
$0.15/1M
Context
128k tokens
Best budget model

Mistral: Mistral Nemo

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Why this recommendation

Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.

MistralBudget
Best for
Teams needing a cheap, fast, multilingual workhorse for classification, summarization, or light coding tasks at scale.
Price
$0.02/1M
Context
131k tokens
Best for speed

Mistral Small 3.1

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Why this recommendation

Mistral Small 3.1 is the better pick when response speed matters more than maximum reasoning depth.

MistralBudget
Best for
Ultra-high-volume classification, summarisation, and lightweight vision tasks
Price
$0.35/1M
Context
128k tokens

Why this page recommends it

GPT-4o Mini leads on coding with a score of 65 vs 55 for Mistral Small 3.1.

Mistral Small 3.1 is cheaper at $0.1/1M input tokens vs $0.15/1M for GPT-4o Mini.

GPT-4o Mini is the stronger default for writing tasks.

Decision notes

Choose GPT-4o Mini for writing and coding — high-volume everyday tasks where gpt-4o quality is overkill.

Choose Mistral Small 3.1 when ultra-high-volume classification.

Mistral Small 3.1 is the more cost-efficient option at $0.1/1M — worth considering if token volume is a concern.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.

#1GPT-4o Mini68 pts
#2Mistral Small 3.161 pts
Quality first

GPT-4o Mini

OpenAI / Budget / Mar 24, 2026

68

OpenAI's fastest, cheapest option for everyday high-volume tasks.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$0.15/1M
$0.60/1M out
Speed
Very fast
5/100 score
Context
128k tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You need strong reasoning or coding — GPT-5.2 Mini or DeepSeek V3 are better at similar or lower cost.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

OpenAIBudgetWinner: GPT-4o Mini

GPT-4o Mini

OpenAI's fastest, cheapest option for everyday high-volume tasks.

Best use case
High-volume everyday tasks where GPT-4o quality is overkill
Input
$0.15/1M
Pricing
Budget
Speed
Very fast
Context
128k tokens
BudgetFastOpenAI
MistralBudgetOption 2

Mistral Small 3.1

Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.

Best use case
Ultra-high-volume classification, summarisation, and lightweight vision tasks
Input
$0.35/1M
Pricing
Budget
Speed
Very fast
Context
128k tokens
BudgetMultimodalUltra cheap

Pros

Extremely low cost at $0.15/1M input — among the cheapest OpenAI models

Very fast response times suitable for interactive user-facing apps

Strong enough for most writing, summarisation, and classification tasks

Cons

Noticeably weaker than GPT-5.2 Mini on complex reasoning and multi-step tasks

Not suitable for hard coding challenges or deep document research

DeepSeek V3 now offers better coding quality at comparable pricing

Explore related decisions

OpenAI
GPT-4o MiniOpenAI's fastest, cheapest option for everyday high-volume tasks.Read guide
Mistral
Mistral Small 3.1Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.Read guide
Guide
Best AI for CodingClaude Opus 4.7 leads coding AI in 2026 with 64.3% on SWE-Bench Pro. Compare it to GPT-5.5, Claude Sonnet 4.6, and budget picks like DeepSeek V3 for your stack.Read guide
Guide
Best AI for WritingClaude leads AI writing quality in 2026. Compare Claude Opus 4.7, Sonnet 4.6, GPT-4o, and budget picks for long-form content, brand voice, and professional…Read guide
Tool
Compare models side by sidePick any two models and see pricing, benchmarks, and context windows in one table.Read guide
Pricing
AI API pricing comparisonInput and output cost per million tokens for every model, updated when providers change prices.Read guide

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FAQ

Is GPT-4o Mini better than Mistral Small 3.1?

GPT-4o Mini wins on more categories — writing, coding, budget. Mistral Small 3.1 is the better pick when ultra-high-volume classification. The right choice depends on your specific use case.

Which is cheaper — GPT-4o Mini or Mistral Small 3.1?

Mistral Small 3.1 is cheaper at $0.1/1M input and $0.3/1M output. GPT-4o Mini costs $0.15/1M input and $0.6/1M output.

Which has a larger context window — GPT-4o Mini or Mistral Small 3.1?

Both GPT-4o Mini and Mistral Small 3.1 have the same 128K context window.

Is GPT-4o Mini or Mistral Small 3.1 better for coding?

GPT-4o Mini is better for coding with a score of 65 vs Mistral Small 3.1's 55 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.

Which is faster — GPT-4o Mini or Mistral Small 3.1?

Both GPT-4o Mini and Mistral Small 3.1 have similar speed profiles — rated very fast.