Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

OpenAI: GPT-3.5 Turbo (batch) vs GPT-5 mini benchmark

Name: OpenAI: GPT-3.5 Turbo (batch) vs GPT-5 mini AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares OpenAI: GPT-3.5 Turbo (batch) (OpenAI) and GPT-5 mini (OpenAI) using the latest snapshots we have as of Aug 17, 2026. OpenAI: GPT-3.5 Turbo (batch) wins on output price at $0.75/1M. GPT-5 mini has the larger context window (400k 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

OpenAI: GPT-3.5 Turbo (batch)

Auto-discovered from OpenRouter (openai/gpt-3.5-turbo:batch). Preview until a second source matches.

$0.75/1M out

OpenAI

GPT-5 mini

Cost-efficient GPT-5 distill for high-volume agents.

Mini DistillElo 1,410$2/1M 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.

OpenAI: GPT-3.5 Turbo (batch) (1)vsGPT-5 mini (8)

OpenAI: GPT-3.5 Turbo (batch): 1W (11%)Overall: GPT-5 miniGPT-5 mini: 8W (89%)

← OpenAI: GPT-3.5 Turbo (batch)1 tiesGPT-5 mini →

GPT-5 mini (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,410

Coding Elo

—vs1,395

SWE-bench

—vs52.4%

LiveBench

—vs61.2%

GPQA Diamond

—vs72%

OpenAI: GPT-3.5 Turbo (batch): 0WGPT-5 mini: 5W

GPT-5 mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs155 tok/s

Time to first token

—vs140 ms

OpenAI: GPT-3.5 Turbo (batch): 0WGPT-5 mini: 2W

Tied (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.75/1Mvs$2/1M

Input price

$0.25/1Mvs$0.25/1M

Context window

16kvs400k

OpenAI: GPT-3.5 Turbo (batch): 1WGPT-5 mini: 1W

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-5 mini 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

OpenAI: GPT-3.5 Turbo (batch)

$1.25/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,410

Code Elo

High is better

—

Code EloHigh is better

1,395

LiveBench

High is better

—

LiveBenchHigh is better

61.2%

SWE-bench

High is better

—

SWE-benchHigh is better

52.4%

GPQA

High is better

—

GPQAHigh is better

72%

TTFT

Low is better

—

TTFTLow is better

140 ms

Speed

High is better

—

SpeedHigh is better

155 tok/s

In $

Low is better

$0.25 / 1M

In $Low is better

$0.25 / 1M

Out $

Low is better

+167%$0.75 / 1M

Out $Low is better

$2.00 / 1M

Context

High is better

16k

ContextHigh is better

400k+2341%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 48% with OpenAI: GPT-3.5 Turbo (batch)

Monthly Volume50M tokens/mo

Quick Presets:

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

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

OpenAI: GPT-3.5 Turbo (batch)$20.00 / mo

In: $8.75Out: $11.25

GPT-5 mini$38.75 / mo

In: $8.75Out: $30

Estimated Cost Delta

OpenAI: GPT-3.5 Turbo (batch) is estimated to save $18.75/month ($225/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: GPT-3.5 Turbo (batch):Pick OpenAI: GPT-3.5 Turbo (batch) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: GPT-3.5 Turbo (batch)

Lower output list price ($0.75/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5 mini

Larger window (400k).

Screenshots / visionGPT-5 mini

GPT-5 mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	OpenAI: GPT-3.5 Turbo (batch)	Lower output list price ($0.75/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5 mini	Larger window (400k).
Screenshots / vision	GPT-5 mini	GPT-5 mini is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchAug 8, 2025

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

Community Sentiment

Cast Your Matchup Vote

0 total votes

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LIVE

OpenAI

OpenAI: GPT-3.5 Turbo (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.75/1M

OpenAI

GPT-5 mini

Elo 1,410

LiveBench61.2%

SWE-bench52.4%

Speed155 tok/s

Output cost$2/1M

Frequently Asked Questions

Which is better overall, OpenAI: GPT-3.5 Turbo (batch) or GPT-5 mini?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, OpenAI: GPT-3.5 Turbo (batch) or GPT-5 mini?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: OpenAI: GPT-3.5 Turbo (batch) output tokens are $0.75/1M versus $2/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI: GPT-3.5 Turbo (batch) or GPT-5 mini?: We do not have TTFT for both models.
Which has the larger context window?: GPT-5 mini accepts 400k tokens versus 16k.
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. OpenAI: GPT-3.5 Turbo (batch) and GPT-5 mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI: GPT-3.5 Turbo (batch) matchups →|All GPT-5 mini matchups →

GPT-5 mini vs OpenAI: o3 Mini (previous gpt-mini)GPT-5 mini vs GPT-5.6 Luna (next gpt-mini)GPT-5 vs GPT-5 mini GPT-4.5 Orion vs GPT-5 mini GPT-5.6 Sol vs GPT-5 mini GPT-5.6 Terra vs GPT-5 mini

OpenAI: GPT-3.5 Turbo (batch) vs GPT-5 mini benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

OpenAI: GPT-3.5 Turbo (batch) (1)vsGPT-5 mini (8)

OpenAI: GPT-3.5 Turbo (batch): 1W (11%)Overall: GPT-5 miniGPT-5 mini: 8W (89%)

← OpenAI: GPT-3.5 Turbo (batch)1 tiesGPT-5 mini →

GPT-5 mini (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,410

Coding Elo

—vs1,395

SWE-bench

—vs52.4%

LiveBench

—vs61.2%

GPQA Diamond

—vs72%

OpenAI: GPT-3.5 Turbo (batch): 0WGPT-5 mini: 5W

GPT-5 mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs155 tok/s

Time to first token

—vs140 ms

OpenAI: GPT-3.5 Turbo (batch): 0WGPT-5 mini: 2W

Tied (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.75/1Mvs$2/1M

Input price

$0.25/1Mvs$0.25/1M

Context window

16kvs400k

OpenAI: GPT-3.5 Turbo (batch): 1WGPT-5 mini: 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: GPT-3.5 Turbo (batch)

Lower output list price ($0.75/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5 mini

Larger window (400k).

Screenshots / visionGPT-5 mini

GPT-5 mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	OpenAI: GPT-3.5 Turbo (batch)	Lower output list price ($0.75/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5 mini	Larger window (400k).
Screenshots / vision	GPT-5 mini	GPT-5 mini is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, OpenAI: GPT-3.5 Turbo (batch) or GPT-5 mini?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, OpenAI: GPT-3.5 Turbo (batch) or GPT-5 mini?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

OpenAI: GPT-3.5 Turbo (batch) output tokens are $0.75/1M versus $2/1M. Input prices and retry rates still move the real bill.

Which is faster, OpenAI: GPT-3.5 Turbo (batch) or GPT-5 mini?

We do not have TTFT for both models.

Which has the larger context window?

GPT-5 mini accepts 400k tokens versus 16k.

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. OpenAI: GPT-3.5 Turbo (batch) and GPT-5 mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

OpenAI: GPT-3.5 Turbo (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

OpenAI: GPT-3.5 Turbo (batch)

GPT-5 mini

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

OpenAI: GPT-3.5 Turbo (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

OpenAI: GPT-3.5 Turbo (batch)

GPT-5 mini

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons