Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4 vs GPT-4o mini benchmark

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

This page compares Claude Opus 4 (Anthropic) and GPT-4o mini (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4 is ahead by 218 points (1,490 vs 1,272; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Opus 4 resolves 72.5% versus 41.2% (seed-bootstrap (Aug 1, 2026)). GPT-4o mini streams faster (160 tok/s) while GPT-4o mini is the cheaper output token ($0.6/1M). 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

GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

Elo 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.

Claude Opus 4 (6)vsGPT-4o mini (4)

Claude Opus 4: 6W (60%)Overall: Claude Opus 4GPT-4o mini: 4W (40%)

← Claude Opus 4GPT-4o mini →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,272

Coding Elo

1,502vs—

SWE-bench

72.5%vs41.2%

LiveBench

66.8%vs48.1%

GPQA Diamond

80.4%vs60.1%

Claude Opus 4: 5WGPT-4o mini: 0W

GPT-4o mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs160 tok/s

Time to first token

390 msvs130 ms

Claude Opus 4: 0WGPT-4o mini: 2W

GPT-4o mini (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$0.6/1M

Input price

$15/1Mvs$0.15/1M

Context window

200kvs128k

Claude Opus 4: 1WGPT-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 AdvantageClaude Opus 4 4/6

Preference Elo

Claude Opus 4

218 pts advantage

Throughput Speed

GPT-4o mini

102 tok/s faster

Price Efficiency

GPT-4o mini

$74.40/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+17%1,490

EloHigh is better

1,272

Code Elo

High is better

1,502

Code EloHigh is better

—

LiveBench

High is better

+39%66.8%

LiveBenchHigh is better

48.1%

SWE-bench

High is better

+76%72.5%

SWE-benchHigh is better

41.2%

GPQA

High is better

+34%80.4%

GPQAHigh is better

60.1%

TTFT

Low is better

390 ms

TTFTLow is better

130 ms+200%

Speed

High is better

58 tok/s

SpeedHigh is better

160 tok/s+176%

In $

Low is better

$15/1M

In $Low is better

$0.15/1M+9900%

Out $

Low is better

$75/1M

Out $Low is better

$0.6/1M+12400%

Context

High is better

+56%200k

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 99% 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)

Claude Opus 4$1,650.00 / mo

In: $525.00Out: $1125.00

GPT-4o mini$14.25 / mo

In: $5.25Out: $9.00

Estimated Cost Delta

GPT-4o mini is estimated to save $1,635.75/month ($19,629/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4:Pick Claude Opus 4 when repo-level coding accuracy is the constraint.
2
GPT-4o mini:Pick GPT-4o mini when you are optimizing output cost.
3
GPT-4o mini:Pick GPT-4o mini when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4

Higher SWE-bench (72.5%).

High-volume chatGPT-4o mini

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

Voice / low-latency UIGPT-4o mini

Lower TTFT (130 ms).

Long-document RAGClaude Opus 4

Larger window (200k).

Screenshots / visionClaude Opus 4

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
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	Claude Opus 4	Larger window (200k).
Screenshots / vision	Claude Opus 4	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

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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

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, Claude Opus 4 or GPT-4o mini?: Claude Opus 4 has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4 or GPT-4o mini?: Claude Opus 4 leads SWE-bench at 72.5% vs 41.2%. 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 $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4 or GPT-4o mini?: GPT-4o mini has the lower time-to-first-token (130 ms vs 390 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Opus 4 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. Claude Opus 4 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 Claude Opus 4 matchups →|All GPT-4o mini matchups →

Claude Opus 4 vs Claude 3 Opus (previous opus)Claude Opus 4 vs Claude Opus 4.5 (next opus)GPT-4o mini vs OpenAI o1-mini (next gpt-mini)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 Opus 4 vs GPT-4o mini benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (6)vsGPT-4o mini (4)

Claude Opus 4: 6W (60%)Overall: Claude Opus 4GPT-4o mini: 4W (40%)

← Claude Opus 4GPT-4o mini →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,272

Coding Elo

1,502vs—

SWE-bench

72.5%vs41.2%

LiveBench

66.8%vs48.1%

GPQA Diamond

80.4%vs60.1%

Claude Opus 4: 5WGPT-4o mini: 0W

GPT-4o mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs160 tok/s

Time to first token

390 msvs130 ms

Claude Opus 4: 0WGPT-4o mini: 2W

GPT-4o mini (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$0.6/1M

Input price

$15/1Mvs$0.15/1M

Context window

200kvs128k

Claude Opus 4: 1WGPT-4o mini: 2W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4

Higher SWE-bench (72.5%).

High-volume chatGPT-4o mini

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

Voice / low-latency UIGPT-4o mini

Lower TTFT (130 ms).

Long-document RAGClaude Opus 4

Larger window (200k).

Screenshots / visionClaude Opus 4

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
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	Claude Opus 4	Larger window (200k).
Screenshots / vision	Claude Opus 4	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

Frequently Asked Questions

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

Claude Opus 4 has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.

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

Claude Opus 4 leads SWE-bench at 72.5% vs 41.2%. 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 $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4 or GPT-4o mini?

GPT-4o mini has the lower time-to-first-token (130 ms vs 390 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Opus 4 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. Claude Opus 4 and GPT-4o mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.