Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Claude Opus 4 vs OpenAI: o4 Mini (batch) benchmark

Name: Claude Opus 4 vs OpenAI: o4 Mini (batch) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4 (Anthropic) and OpenAI: o4 Mini (batch) (OpenAI) using the latest snapshots we have as of Aug 16, 2026. OpenAI: o4 Mini (batch) wins on output price at $2.2/1M. Claude Opus 4 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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Anthropic

Claude Opus 4

First Claude 4 Opus generation. Baseline for opus 4 vs opus 5.

Elo 1,490$75/1M out

OpenAI

OpenAI: o4 Mini (batch)

Auto-discovered from OpenRouter (openai/o4-mini:batch). Preview until a second source matches.

$2.2/1M 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.

Claude Opus 4 (7)vsOpenAI: o4 Mini (batch) (2)

Claude Opus 4: 7W (78%)Overall: Claude Opus 4OpenAI: o4 Mini (batch): 2W (22%)

← Claude Opus 41 tiesOpenAI: o4 Mini (batch) →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs—

Coding Elo

1,502vs—

SWE-bench

72.5%vs—

LiveBench

66.8%vs—

GPQA Diamond

80.4%vs—

Claude Opus 4: 5WOpenAI: o4 Mini (batch): 0W

Claude Opus 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs—

Time to first token

390 msvs—

Claude Opus 4: 2WOpenAI: o4 Mini (batch): 0W

OpenAI: o4 Mini (batch) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$2.2/1M

Input price

$15/1Mvs$0.55/1M

Context window

200kvs200k

Claude Opus 4: 0WOpenAI: o4 Mini (batch): 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 AdvantageClaude Opus 4 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

OpenAI: o4 Mini (batch)

$72.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,490

EloHigh is better

—

Code Elo

High is better

1,502

Code EloHigh is better

—

LiveBench

High is better

66.8%

LiveBenchHigh is better

—

SWE-bench

High is better

72.5%

SWE-benchHigh is better

—

GPQA

High is better

80.4%

GPQAHigh is better

—

TTFT

Low is better

390 ms

TTFTLow is better

—

Speed

High is better

58 tok/s

SpeedHigh is better

—

In $

Low is better

$15/1M

In $Low is better

$0.55/1M+2627%

Out $

Low is better

$75/1M

Out $Low is better

$2.2/1M+3309%

Context

High is better

200k

ContextHigh is better

200k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 97% with OpenAI: o4 Mini (batch)

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Claude Opus 4$1,650.00 / mo

In: $525.00Out: $1125.00

OpenAI: o4 Mini (batch)$52.25 / mo

In: $19.25Out: $33.00

Estimated Cost Delta

OpenAI: o4 Mini (batch) is estimated to save $1,597.75/month ($19,173/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: o4 Mini (batch):Pick OpenAI: o4 Mini (batch) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: o4 Mini (batch)

Lower output list price ($2.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude Opus 4

Larger window (200k).

Screenshots / visionClaude Opus 4

Claude Opus 4 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: o4 Mini (batch)	Lower output list price ($2.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Claude Opus 4	Larger window (200k).
Screenshots / vision	Claude Opus 4	Claude Opus 4 is the side marked multimodal in the catalog.

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LIVE

Anthropic

Claude Opus 4

Elo 1,490

LiveBench66.8%

SWE-bench72.5%

Speed58 tok/s

Output cost$75/1M

OpenAI

OpenAI: o4 Mini (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$2.2/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4 or OpenAI: o4 Mini (batch)?: 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, Claude Opus 4 or OpenAI: o4 Mini (batch)?: 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: o4 Mini (batch) output tokens are $2.2/1M versus $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4 or OpenAI: o4 Mini (batch)?: We do not have TTFT for both models.
Which has the larger context window?: Claude Opus 4 accepts 200k tokens versus 200k.
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. Claude Opus 4 and OpenAI: o4 Mini (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4 matchups →|All OpenAI: o4 Mini (batch) matchups →

Claude Opus 4 vs Claude 3 Opus (previous opus)Claude Opus 4 vs Claude Opus 4.5 (next opus)Claude Sonnet 4.5 vs Claude Opus 4 GPT-4.5 Orion vs Claude Opus 4 GPT-5.6 Terra vs Claude Opus 4 Claude Sonnet 5 vs Claude Opus 4

Claude Opus 4 vs OpenAI: o4 Mini (batch) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (7)vsOpenAI: o4 Mini (batch) (2)

Claude Opus 4: 7W (78%)Overall: Claude Opus 4OpenAI: o4 Mini (batch): 2W (22%)

← Claude Opus 41 tiesOpenAI: o4 Mini (batch) →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs—

Coding Elo

1,502vs—

SWE-bench

72.5%vs—

LiveBench

66.8%vs—

GPQA Diamond

80.4%vs—

Claude Opus 4: 5WOpenAI: o4 Mini (batch): 0W

Claude Opus 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs—

Time to first token

390 msvs—

Claude Opus 4: 2WOpenAI: o4 Mini (batch): 0W

OpenAI: o4 Mini (batch) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$2.2/1M

Input price

$15/1Mvs$0.55/1M

Context window

200kvs200k

Claude Opus 4: 0WOpenAI: o4 Mini (batch): 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: o4 Mini (batch)

Lower output list price ($2.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude Opus 4

Larger window (200k).

Screenshots / visionClaude Opus 4

Claude Opus 4 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: o4 Mini (batch)	Lower output list price ($2.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Claude Opus 4	Larger window (200k).
Screenshots / vision	Claude Opus 4	Claude Opus 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4 or OpenAI: o4 Mini (batch)?

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, Claude Opus 4 or OpenAI: o4 Mini (batch)?

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: o4 Mini (batch) output tokens are $2.2/1M versus $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4 or OpenAI: o4 Mini (batch)?

We do not have TTFT for both models.

Which has the larger context window?

Claude Opus 4 accepts 200k tokens versus 200k.

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. Claude Opus 4 and OpenAI: o4 Mini (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.