Pairwise benchmark snapshot · Aug 17, 2026

GPT-4 Turbo vs GPT-4o mini benchmark

Name: GPT-4 Turbo vs GPT-4o mini AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4 Turbo (OpenAI) and GPT-4o mini (OpenAI) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, GPT-4o mini is ahead by 17 points (1,272 vs 1,255; lmarena (Aug 17, 2026)). On SWE-bench coding, GPT-4o mini resolves 41.2% versus 33.2% (swebench (Aug 17, 2026)). GPT-4o mini streams faster (160 tok/s) while GPT-4o mini is the cheaper output token ($0.6/1M). GPT-4 Turbo has the larger context window (128k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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OpenAI

GPT-4 Turbo

GPT-4 Turbo 128k. Historical flagship for gpt-4 turbo vs gpt-4o / gpt-5.

Elo 1,255$30/1M out

OpenAI

GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

4o MiniElo 1,272$0.6/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4 Turbo (0)vsGPT-4o mini (8)

GPT-4 Turbo: 0W (0%)Overall: GPT-4o miniGPT-4o mini: 8W (100%)

← GPT-4 Turbo1 tiesGPT-4o mini →

GPT-4o mini (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,255vs1,272

Coding Elo

—vs—

SWE-bench

33.2%vs41.2%

LiveBench

47%vs48.1%

GPQA Diamond

48%vs60.1%

GPT-4 Turbo: 0WGPT-4o mini: 4W

GPT-4o mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

55 tok/svs160 tok/s

Time to first token

350 msvs130 ms

GPT-4 Turbo: 0WGPT-4o mini: 2W

GPT-4o mini (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$30/1Mvs$0.6/1M

Input price

$10/1Mvs$0.15/1M

Context window

128kvs128k

GPT-4 Turbo: 0WGPT-4o mini: 2W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageGPT-4o mini 5/6

Preference Elo

GPT-4o mini

17 pts advantage

Throughput Speed

GPT-4o mini

105 tok/s faster

Token Price Efficiency

GPT-4o mini

$29.40/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,255

EloHigh is better

1,272+1%

LiveBench

High is better

47%

LiveBenchHigh is better

48.1%+2%

SWE-bench

High is better

33.2%

SWE-benchHigh is better

41.2%+24%

GPQA

High is better

48%

GPQAHigh is better

60.1%+25%

TTFT

Low is better

350 ms

TTFTLow is better

130 ms+169%

Speed

High is better

55 tok/s

SpeedHigh is better

160 tok/s+191%

In $

Low is better

$10.00 / 1M

In $Low is better

$0.15 / 1M+6567%

Out $

Low is better

$30.00 / 1M

Out $Low is better

$0.60 / 1M+4900%

Context

High is better

128k

ContextHigh is better

128k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 98% with GPT-4o mini

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

GPT-4 Turbo$800.00 / mo

In: $350Out: $450

GPT-4o mini$14.25 / mo

In: $5.25Out: $9

Estimated Cost Delta

GPT-4o mini is estimated to save $785.75/month ($9,429/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GPT-4o mini:Pick GPT-4o mini when repo-level coding accuracy is the constraint.
2
GPT-4o mini:Pick GPT-4o mini when time-to-first-token matters more than peak Elo.
3
GPT-4o mini:Pick GPT-4o mini as the default general assistant.

Recommended Workload Routing

Repo / coding agentsGPT-4o mini

Higher SWE-bench (41.2%).

High-volume chatGPT-4o mini

Lower output list price ($0.6/1M).

Voice / low-latency UIGPT-4o mini

Lower TTFT (130 ms).

Long-document RAGGPT-4 Turbo

Larger window (128k).

Screenshots / visionGPT-4o mini

Both accept images. Defaulting to the higher-Elo side (GPT-4o mini).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4o mini	Higher SWE-bench (41.2%).
High-volume chat	GPT-4o mini	Lower output list price ($0.6/1M).
Voice / low-latency UI	GPT-4o mini	Lower TTFT (130 ms).
Long-document RAG	GPT-4 Turbo	Larger window (128k).
Screenshots / vision	GPT-4o mini	Both accept images. Defaulting to the higher-Elo side (GPT-4o mini).

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LIVE

OpenAI

GPT-4 Turbo

Elo 1,255

LiveBench47%

SWE-bench33.2%

Speed55 tok/s

Output cost$30/1M

OpenAI

GPT-4o mini

Elo 1,272

LiveBench48.1%

SWE-bench41.2%

Speed160 tok/s

Output cost$0.6/1M

Frequently Asked Questions

Which is better overall, GPT-4 Turbo or GPT-4o mini?: GPT-4o mini has the higher preference Elo in our latest snapshot (1,272). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-4 Turbo or GPT-4o mini?: GPT-4o mini leads SWE-bench at 41.2% vs 33.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: GPT-4o mini output tokens are $0.6/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4 Turbo or GPT-4o mini?: GPT-4o mini has the lower time-to-first-token (130 ms vs 350 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GPT-4 Turbo accepts 128k tokens versus 128k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GPT-4 Turbo and GPT-4o mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-4 Turbo matchups →|All GPT-4o mini matchups →

GPT-4 Turbo vs GPT-4o (next gpt-flagship)GPT-4o mini vs OpenAI o1-mini (next gpt-mini)GPT-5 vs GPT-4o mini GPT-4.5 Orion vs GPT-4o mini GPT-5.6 Sol vs GPT-4o mini GPT-5.6 Terra vs GPT-4o mini

GPT-4 Turbo vs GPT-4o mini benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4 Turbo (0)vsGPT-4o mini (8)

GPT-4 Turbo: 0W (0%)Overall: GPT-4o miniGPT-4o mini: 8W (100%)

← GPT-4 Turbo1 tiesGPT-4o mini →

GPT-4o mini (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,255vs1,272

Coding Elo

—vs—

SWE-bench

33.2%vs41.2%

LiveBench

47%vs48.1%

GPQA Diamond

48%vs60.1%

GPT-4 Turbo: 0WGPT-4o mini: 4W

GPT-4o mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

55 tok/svs160 tok/s

Time to first token

350 msvs130 ms

GPT-4 Turbo: 0WGPT-4o mini: 2W

GPT-4o mini (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$30/1Mvs$0.6/1M

Input price

$10/1Mvs$0.15/1M

Context window

128kvs128k

GPT-4 Turbo: 0WGPT-4o mini: 2W

Recommended Workload Routing

Repo / coding agentsGPT-4o mini

Higher SWE-bench (41.2%).

High-volume chatGPT-4o mini

Lower output list price ($0.6/1M).

Voice / low-latency UIGPT-4o mini

Lower TTFT (130 ms).

Long-document RAGGPT-4 Turbo

Larger window (128k).

Screenshots / visionGPT-4o mini

Both accept images. Defaulting to the higher-Elo side (GPT-4o mini).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4o mini	Higher SWE-bench (41.2%).
High-volume chat	GPT-4o mini	Lower output list price ($0.6/1M).
Voice / low-latency UI	GPT-4o mini	Lower TTFT (130 ms).
Long-document RAG	GPT-4 Turbo	Larger window (128k).
Screenshots / vision	GPT-4o mini	Both accept images. Defaulting to the higher-Elo side (GPT-4o mini).

Frequently Asked Questions

Which is better overall, GPT-4 Turbo or GPT-4o mini?

GPT-4o mini has the higher preference Elo in our latest snapshot (1,272). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GPT-4 Turbo or GPT-4o mini?

GPT-4o mini leads SWE-bench at 41.2% vs 33.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

GPT-4o mini output tokens are $0.6/1M versus $30/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4 Turbo or GPT-4o mini?

GPT-4o mini has the lower time-to-first-token (130 ms vs 350 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GPT-4 Turbo accepts 128k tokens versus 128k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GPT-4 Turbo and GPT-4o mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.