Pairwise benchmark snapshot · Aug 16, 2026

GPT-4 Turbo vs OpenAI: o3 Mini benchmark

Name: GPT-4 Turbo vs OpenAI: o3 Mini AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4 Turbo (OpenAI) and OpenAI: o3 Mini (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, OpenAI: o3 Mini is ahead by 305 points (1,560 vs 1,255; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, OpenAI: o3 Mini resolves 78.5% versus 33.2% (seed-bootstrap (Aug 1, 2026)). OpenAI: o3 Mini streams faster (92 tok/s) while OpenAI: o3 Mini is the cheaper output token ($4.4/1M). OpenAI: o3 Mini has the larger context window (200k 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

OpenAI: o3 Mini

Auto-discovered from OpenRouter (openai/o3-mini). Preview until a second source matches.

Elo 1,560$4.4/1M out

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4 Turbo (0)vsOpenAI: o3 Mini (10)

GPT-4 Turbo: 0W (0%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 10W (100%)

← GPT-4 TurboOpenAI: o3 Mini →

OpenAI: o3 Mini (5/5)

Intelligence & Reasoning

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

Preference Elo

1,255vs1,560

Coding Elo

—vs1,585

SWE-bench

33.2%vs78.5%

LiveBench

47%vs72.4%

GPQA Diamond

48%vs87.2%

GPT-4 Turbo: 0WOpenAI: o3 Mini: 5W

OpenAI: o3 Mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

55 tok/svs92 tok/s

Time to first token

350 msvs290 ms

GPT-4 Turbo: 0WOpenAI: o3 Mini: 2W

OpenAI: o3 Mini (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$30/1Mvs$4.4/1M

Input price

$10/1Mvs$1.1/1M

Context window

128kvs200k

GPT-4 Turbo: 0WOpenAI: o3 Mini: 3W

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 AdvantageOpenAI: o3 Mini 6/6

Preference Elo

OpenAI: o3 Mini

305 pts advantage

Throughput Speed

OpenAI: o3 Mini

37 tok/s faster

Price Efficiency

OpenAI: o3 Mini

$25.60/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,255

EloHigh is better

1,560+24%

Code Elo

High is better

—

Code EloHigh is better

1,585

LiveBench

High is better

47%

LiveBenchHigh is better

72.4%+54%

SWE-bench

High is better

33.2%

SWE-benchHigh is better

78.5%+136%

GPQA

High is better

48%

GPQAHigh is better

87.2%+82%

TTFT

Low is better

350 ms

TTFTLow is better

290 ms+21%

Speed

High is better

55 tok/s

SpeedHigh is better

92 tok/s+67%

In $

Low is better

$10/1M

In $Low is better

$1.1/1M+809%

Out $

Low is better

$30/1M

Out $Low is better

$4.4/1M+582%

Context

High is better

128k

ContextHigh is better

200k+56%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 87% with OpenAI: o3 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: $350.00Out: $450.00

OpenAI: o3 Mini$104.50 / mo

In: $38.50Out: $66.00

Estimated Cost Delta

OpenAI: o3 Mini is estimated to save $695.50/month ($8,346/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: o3 Mini:Pick OpenAI: o3 Mini when repo-level coding accuracy is the constraint.
2
OpenAI: o3 Mini:Pick OpenAI: o3 Mini when time-to-first-token matters more than peak Elo.
3
OpenAI: o3 Mini:Pick OpenAI: o3 Mini as the default general assistant.

Recommended Workload Routing

Repo / coding agentsOpenAI: o3 Mini

Higher SWE-bench (78.5%).

High-volume chatOpenAI: o3 Mini

Lower output list price ($4.4/1M).

Voice / low-latency UIOpenAI: o3 Mini

Lower TTFT (290 ms).

Long-document RAGOpenAI: o3 Mini

Larger window (200k).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	OpenAI: o3 Mini	Higher SWE-bench (78.5%).
High-volume chat	OpenAI: o3 Mini	Lower output list price ($4.4/1M).
Voice / low-latency UI	OpenAI: o3 Mini	Lower TTFT (290 ms).
Long-document RAG	OpenAI: o3 Mini	Larger window (200k).
Screenshots / vision	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

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LIVE

OpenAI

GPT-4 Turbo

Elo 1,255

LiveBench47%

SWE-bench33.2%

Speed55 tok/s

Output cost$30/1M

OpenAI

OpenAI: o3 Mini

Elo 1,560

LiveBench72.4%

SWE-bench78.5%

Speed92 tok/s

Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, GPT-4 Turbo or OpenAI: o3 Mini?: OpenAI: o3 Mini has the higher preference Elo in our latest snapshot (1,560). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-4 Turbo or OpenAI: o3 Mini?: OpenAI: o3 Mini leads SWE-bench at 78.5% vs 33.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: OpenAI: o3 Mini output tokens are $4.4/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4 Turbo or OpenAI: o3 Mini?: OpenAI: o3 Mini has the lower time-to-first-token (290 ms vs 350 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: OpenAI: o3 Mini accepts 200k 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 OpenAI: o3 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 OpenAI: o3 Mini matchups →

GPT-4 Turbo vs GPT-4o (next gpt-flagship)OpenAI: o3 Mini vs OpenAI o1-mini (previous gpt-mini)OpenAI: o3 Mini vs GPT-5 mini (next gpt-mini)GPT-5 vs OpenAI: o3 Mini GPT-4.5 Orion vs OpenAI: o3 Mini GPT-5.6 Sol vs OpenAI: o3 Mini

GPT-4 Turbo vs OpenAI: o3 Mini benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4 Turbo (0)vsOpenAI: o3 Mini (10)

GPT-4 Turbo: 0W (0%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 10W (100%)

← GPT-4 TurboOpenAI: o3 Mini →

OpenAI: o3 Mini (5/5)

Intelligence & Reasoning

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

Preference Elo

1,255vs1,560

Coding Elo

—vs1,585

SWE-bench

33.2%vs78.5%

LiveBench

47%vs72.4%

GPQA Diamond

48%vs87.2%

GPT-4 Turbo: 0WOpenAI: o3 Mini: 5W

OpenAI: o3 Mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

55 tok/svs92 tok/s

Time to first token

350 msvs290 ms

GPT-4 Turbo: 0WOpenAI: o3 Mini: 2W

OpenAI: o3 Mini (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$30/1Mvs$4.4/1M

Input price

$10/1Mvs$1.1/1M

Context window

128kvs200k

GPT-4 Turbo: 0WOpenAI: o3 Mini: 3W

Recommended Workload Routing

Repo / coding agentsOpenAI: o3 Mini

Higher SWE-bench (78.5%).

High-volume chatOpenAI: o3 Mini

Lower output list price ($4.4/1M).

Voice / low-latency UIOpenAI: o3 Mini

Lower TTFT (290 ms).

Long-document RAGOpenAI: o3 Mini

Larger window (200k).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	OpenAI: o3 Mini	Higher SWE-bench (78.5%).
High-volume chat	OpenAI: o3 Mini	Lower output list price ($4.4/1M).
Voice / low-latency UI	OpenAI: o3 Mini	Lower TTFT (290 ms).
Long-document RAG	OpenAI: o3 Mini	Larger window (200k).
Screenshots / vision	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4 Turbo or OpenAI: o3 Mini?

OpenAI: o3 Mini has the higher preference Elo in our latest snapshot (1,560). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GPT-4 Turbo or OpenAI: o3 Mini?

OpenAI: o3 Mini leads SWE-bench at 78.5% vs 33.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

OpenAI: o3 Mini output tokens are $4.4/1M versus $30/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4 Turbo or OpenAI: o3 Mini?

OpenAI: o3 Mini has the lower time-to-first-token (290 ms vs 350 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

OpenAI: o3 Mini accepts 200k 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 OpenAI: o3 Mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.