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Home/GPT-5.2 Mini vs Llama 4 Scout
Winner: GPT-5.2 MiniOpenAI vs Meta

GPT-5.2 Mini vs Llama 4 Scout

GPT-5.2 Mini wins on coding (78 vs 54) and writing quality. Llama 4 Scout wins on price ($0.5 vs $1.2/1M input) and context window (512K vs 128K). For most workflows, GPT-5.2 Mini is the stronger default — solid openai budget option, though gemini flash offers better value.

Last verified Jun 8, 2026/Model data modified Jun 8, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
OpenAIBalanced
Input cost
$1.20/1M
Context
128k tokens
Speed
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-5.2 Mini

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Why this recommendation

GPT-5.2 Mini is the safest overall answer here when you want the strongest default instead of the lowest list price.

OpenAIBalanced
Best for
Budget technical workflows and high-volume product integrations
Price
$1.20/1M
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

Llama 4 Scout

View
Why this recommendation

Llama 4 Scout is the better pick when response speed matters more than maximum reasoning depth.

MetaBudget
Best for
Affordable self-hosted long-context workflows and analysis pipelines
Price
$0.10/1M
Context
512k tokens

Why this page recommends it

GPT-5.2 Mini leads on coding with a score of 78 vs 54 for Llama 4 Scout.

Llama 4 Scout has the larger context window: 512K vs 128K for GPT-5.2 Mini.

Llama 4 Scout is cheaper at $0.5/1M input tokens vs $1.2/1M for GPT-5.2 Mini.

Decision notes

Choose GPT-5.2 Mini for coding and budget — budget technical workflows and high-volume product integrations.

Choose Llama 4 Scout when affordable self-hosted long-context workflows and analysis pipelines.

Llama 4 Scout is the more cost-efficient option at $0.5/1M — 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-5.2 Mini68 pts
#2Llama 4 Scout67 pts
Quality first

GPT-5.2 Mini

OpenAI / Balanced / Mar 24, 2026

68

Solid OpenAI budget option, though Gemini Flash offers better value.

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

Cost
$1.20/1M
$4.80/1M out
Speed
Fast
4/100 score
Context
128k tokens
input window
View model
Data-backed recommendation
Avoid this pick if

Cost is your primary concern — Gemini 3.1 Flash offers more for less.

Recommended comparisons

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

OpenAIBalancedWinner: GPT-5.2 Mini

GPT-5.2 Mini

Solid OpenAI budget option, though Gemini Flash offers better value.

Best use case
Budget technical workflows and high-volume product integrations
Input
$1.20/1M
Pricing
Balanced
Speed
Fast
Context
128k tokens
Budget codingFastOpenAI
MetaBudgetOption 2

Llama 4 Scout

Best open-weight long-context option for self-hosted pipelines.

Best use case
Affordable self-hosted long-context workflows and analysis pipelines
Input
$0.10/1M
Pricing
Budget
Speed
Fast
Context
512k tokens
Long contextCheapOpen weights

Pros

Cheaper than flagship models without becoming toy-grade

Good for edits, summaries, and repetitive operational prompts

Fast enough for embedded product experiences

Cons

Weaker on nuanced reasoning than premium models

Gemini 3.1 Flash is now cheaper with a larger context window

Explore related decisions

OpenAI
GPT-5.2 MiniSolid OpenAI budget option, though Gemini Flash offers better value.Read guide
Meta
Llama 4 ScoutBest open-weight long-context option for self-hosted 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
Guide
Best AI for ResearchClaude Opus 4.7 and Gemini 3.1 Pro lead AI research in 2026. Compare 1M-token context models, Perplexity for real-time search, and the best picks for document…Read guide
Tool
Compare models side by sidePick any two models and see pricing, benchmarks, and context windows in one table.Read guide

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FAQ

Is GPT-5.2 Mini better than Llama 4 Scout?

GPT-5.2 Mini wins on more categories — coding, budget, writing. Llama 4 Scout is the better pick when affordable self-hosted long-context workflows and analysis pipelines. The right choice depends on your specific use case.

Which is cheaper — GPT-5.2 Mini or Llama 4 Scout?

Llama 4 Scout is cheaper at $0.5/1M input and $1.2/1M output. GPT-5.2 Mini costs $1.2/1M input and $4.8/1M output.

Which has a larger context window — GPT-5.2 Mini or Llama 4 Scout?

Llama 4 Scout has the larger context window at 512K tokens vs GPT-5.2 Mini's 128K. For large document analysis, Llama 4 Scout is the stronger pick.

Is GPT-5.2 Mini or Llama 4 Scout better for coding?

GPT-5.2 Mini is better for coding with a score of 78 vs Llama 4 Scout's 54 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.

Which is faster — GPT-5.2 Mini or Llama 4 Scout?

Both GPT-5.2 Mini and Llama 4 Scout have similar speed profiles — rated fast.