GPT-4o vs o4-mini: Pricing, Benchmarks & Verdict (2026)

Pricing verified Apr 20, 2026By LLMversusUpdated June 14, 2026View methodology

⚡ Quick Answer

o4-mini is the better model for most tasks in 2026 -- it outranks GPT-4o on Arena ELO (1350 vs 1260), leads by a wide margin on coding (Coding ELO 1380 vs 1265), and costs 78% less ($1.10/$4.40 vs $2.50/$10.00 per million tokens). GPT-4o wins only on output speed (95 tok/s vs 60 tok/s) and multimodal breadth. The key question is not whether o4-mini is good enough, but whether you specifically need GPT-4o's real-time speed or native Code Interpreter in ChatGPT. For API use, o4-mini is the default choice.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureGPT-4oo4-mini
ProviderOpenAIOpenAI
Input Price / 1M tokens$2.50$1.10
Output Price / 1M tokens$10.00$4.40
Context Window
128K
128K
Max Output Tokens
16,384
32,768
Arena ELO
1,260
1,260
Coding ELO
1,265
1,270
TTFT (ms)
230
180
Tokens/sec
95
105
MultimodalYesNo
JSON ModeYesYes
Function CallingYesYes
VisionYesNo
When to Use GPT-4o

Choose GPT-4o when you need the fastest possible response time (95 tok/s output, 230ms TTFT vs o4-mini's 60 tok/s and 1200ms), native Code Interpreter for live Python execution in ChatGPT, or a simpler prompt style without chain-of-thought overhead. It excels at real-time conversational applications, data analysis with live code execution, and multimodal tasks that require speed. If your application is latency-sensitive and the 1200ms TTFT of o4-mini would noticeably degrade UX, GPT-4o is worth the premium.

Strengths:

  • Fast response times
  • Strong multimodal capabilities
  • Code execution support

Best for:

general-purposemultimodalfunction-calling
When to Use o4-mini

Choose o4-mini when you need the best quality-per-dollar on reasoning, math, and coding tasks -- it costs 78% less than GPT-4o while scoring significantly higher on benchmarks. Its 200K context window (vs GPT-4o's 128K) handles larger documents and codebases. Specific scenarios: automated code review pipelines, math tutoring apps, multi-step reasoning agents, research assistants, and any batch or async workflow where the 1200ms TTFT is acceptable. For the vast majority of production API use cases, o4-mini is the correct default.

Strengths:

  • Affordable
  • Fast
  • Good reasoning

Best for:

general-purposereasoningcoding

Frequently Asked Questions

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