Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.5 vs OpenAI o1-mini benchmark

Name: Claude Opus 4.5 vs OpenAI o1-mini AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4.5 (Anthropic) and OpenAI o1-mini (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4.5 is ahead by 123 points (1,568 vs 1,445; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Opus 4.5 resolves 76.8% versus 56.4% (seed-bootstrap (Aug 1, 2026)). OpenAI o1-mini streams faster (85 tok/s) while OpenAI o1-mini is the cheaper output token ($4.4/1M). Claude Opus 4.5 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 4.5

Anthropic frontier coding and computer-use model. SWE-bench leader on the official mini-SWE-agent harness in the Feb 2026 refresh.

Elo 1,568$25/1M out

OpenAI

OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445$4.4/1M out

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Quick vs:vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet vs GPT-5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.5 (6)vsOpenAI o1-mini (4)

Claude Opus 4.5: 6W (60%)Overall: Claude Opus 4.5OpenAI o1-mini: 4W (40%)

← Claude Opus 4.5OpenAI o1-mini →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,568vs1,445

Coding Elo

1,574vs1,468

SWE-bench

76.8%vs56.4%

LiveBench

71.2%vs62%

GPQA Diamond

84.1%vs76.8%

Claude Opus 4.5: 5WOpenAI o1-mini: 0W

OpenAI o1-mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs85 tok/s

Time to first token

380 msvs280 ms

Claude Opus 4.5: 0WOpenAI o1-mini: 2W

OpenAI o1-mini (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$4.4/1M

Input price

$5/1Mvs$1.1/1M

Context window

200kvs128k

Claude Opus 4.5: 1WOpenAI o1-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 4.5 4/6

Preference Elo

Claude Opus 4.5

123 pts advantage

Throughput Speed

OpenAI o1-mini

23 tok/s faster

Price Efficiency

OpenAI o1-mini

$20.60/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+9%1,568

EloHigh is better

1,445

Code Elo

High is better

+7%1,574

Code EloHigh is better

1,468

LiveBench

High is better

+15%71.2%

LiveBenchHigh is better

62%

SWE-bench

High is better

+36%76.8%

SWE-benchHigh is better

56.4%

GPQA

High is better

+10%84.1%

GPQAHigh is better

76.8%

TTFT

Low is better

380 ms

TTFTLow is better

280 ms+36%

Speed

High is better

62 tok/s

SpeedHigh is better

85 tok/s+37%

In $

Low is better

$5/1M

In $Low is better

$1.1/1M+355%

Out $

Low is better

$25/1M

Out $Low is better

$4.4/1M+468%

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 81% with OpenAI o1-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 4.5$550.00 / mo

In: $175.00Out: $375.00

OpenAI o1-mini$104.50 / mo

In: $38.50Out: $66.00

Estimated Cost Delta

OpenAI o1-mini is estimated to save $445.50/month ($5,346/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4.5:Pick Claude Opus 4.5 when repo-level coding accuracy is the constraint.
2
OpenAI o1-mini:Pick OpenAI o1-mini when you are optimizing output cost.
3
OpenAI o1-mini:Pick OpenAI o1-mini when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.5

Higher SWE-bench (76.8%).

High-volume chatOpenAI o1-mini

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

Voice / low-latency UIOpenAI o1-mini

Lower TTFT (280 ms).

Long-document RAGClaude Opus 4.5

Larger window (200k).

Screenshots / visionClaude Opus 4.5

Claude Opus 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.5	Higher SWE-bench (76.8%).
High-volume chat	OpenAI o1-mini	Lower output list price ($4.4/1M).
Voice / low-latency UI	OpenAI o1-mini	Lower TTFT (280 ms).
Long-document RAG	Claude Opus 4.5	Larger window (200k).
Screenshots / vision	Claude Opus 4.5	Claude Opus 4.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchFeb 20, 2026

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

The Feb refresh made 4.5 a coding reference. Newer Opus SKUs exist; this row stays as the dated harness point.

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LIVE

Anthropic

Claude Opus 4.5

Elo 1,568

LiveBench71.2%

SWE-bench76.8%

Speed62 tok/s

Output cost$25/1M

OpenAI

OpenAI o1-mini

Elo 1,445

LiveBench62%

SWE-bench56.4%

Speed85 tok/s

Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.5 or OpenAI o1-mini?: Claude Opus 4.5 has the higher preference Elo in our latest snapshot (1,568). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4.5 or OpenAI o1-mini?: Claude Opus 4.5 leads SWE-bench at 76.8% vs 56.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: OpenAI o1-mini output tokens are $4.4/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.5 or OpenAI o1-mini?: OpenAI o1-mini has the lower time-to-first-token (280 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Opus 4.5 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 4.5 and OpenAI o1-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4.5 matchups →|All OpenAI o1-mini matchups →

Claude Opus 4.5 vs Claude Opus 4 (previous opus)Claude Opus 4.5 vs Claude Opus 4.6 (next opus)OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI: o3 Mini (next gpt-mini)GPT-5 vs Claude Opus 4.5 Claude Sonnet 5 vs Claude Opus 4.5

Claude Opus 4.5 vs OpenAI o1-mini benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.5 (6)vsOpenAI o1-mini (4)

Claude Opus 4.5: 6W (60%)Overall: Claude Opus 4.5OpenAI o1-mini: 4W (40%)

← Claude Opus 4.5OpenAI o1-mini →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,568vs1,445

Coding Elo

1,574vs1,468

SWE-bench

76.8%vs56.4%

LiveBench

71.2%vs62%

GPQA Diamond

84.1%vs76.8%

Claude Opus 4.5: 5WOpenAI o1-mini: 0W

OpenAI o1-mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs85 tok/s

Time to first token

380 msvs280 ms

Claude Opus 4.5: 0WOpenAI o1-mini: 2W

OpenAI o1-mini (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$4.4/1M

Input price

$5/1Mvs$1.1/1M

Context window

200kvs128k

Claude Opus 4.5: 1WOpenAI o1-mini: 2W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.5

Higher SWE-bench (76.8%).

High-volume chatOpenAI o1-mini

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

Voice / low-latency UIOpenAI o1-mini

Lower TTFT (280 ms).

Long-document RAGClaude Opus 4.5

Larger window (200k).

Screenshots / visionClaude Opus 4.5

Claude Opus 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.5	Higher SWE-bench (76.8%).
High-volume chat	OpenAI o1-mini	Lower output list price ($4.4/1M).
Voice / low-latency UI	OpenAI o1-mini	Lower TTFT (280 ms).
Long-document RAG	Claude Opus 4.5	Larger window (200k).
Screenshots / vision	Claude Opus 4.5	Claude Opus 4.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4.5 or OpenAI o1-mini?

Claude Opus 4.5 has the higher preference Elo in our latest snapshot (1,568). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4.5 or OpenAI o1-mini?

Claude Opus 4.5 leads SWE-bench at 76.8% vs 56.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

OpenAI o1-mini output tokens are $4.4/1M versus $25/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4.5 or OpenAI o1-mini?

OpenAI o1-mini has the lower time-to-first-token (280 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Opus 4.5 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 4.5 and OpenAI o1-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Claude Opus 4.5

OpenAI o1-mini

OpenAI o1-mini

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

Cast Your Matchup Vote

Community Discussions (0)

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Claude Opus 4.5

OpenAI o1-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

Claude Opus 4.5

OpenAI o1-mini

OpenAI o1-mini

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.5

OpenAI o1-mini

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons