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Claude Opus 4.5 vs GPT-4o-mini (2024-07-18)

GPT-4o-mini (2024-07-18) costs 41.7x less per output token than Claude Opus 4.5 ($0.60 vs $25.00 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
39
GPT-4o-mini (2024-07-18)OpenAI
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 39 shared

Claude Opus 4.5 or GPT-4o-mini (2024-07-18): which to pick

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; GPT-4o-mini (2024-07-18) has none, so the two cannot be ranked on coding.

Pick GPT-4o-mini (2024-07-18) for output tokens 41.7x cheaper ($0.60 vs $25.00 per million).

Shared results
39
Claude Opus 4.5 only
73
GPT-4o-mini (2024-07-18) only
7
Like-for-like categories
6 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.5 44.0 from 3 benchmarks, GPT-4o-mini (2024-07-18) not benchmarked.
Widest category
Math, 44.6 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: Claude Opus 4.5 86.1% against GPT-4o-mini (2024-07-18) 6.9%, 79.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against GPT-4o-mini (2024-07-18) $0.60 per million output tokens, 41.7x apart.
Context window
Claude Opus 4.5 takes 200K tokens, GPT-4o-mini (2024-07-18) 128K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.5BarsGPT-4o-mini (2024-07-18)Ties
Coding30
Agentic work10
Reasoning80
Math40
Knowledge60
General170
All shared boards390
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
BenchmarkClaude Opus 4.5GPT-4o-mini (2024-07-18)Leader
Aider polyglotNot measured3.6%Only GPT-4o-mini (2024-07-18) measured
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev1494Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Vals AI)83.7%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)87.1%Not measuredOnly Claude Opus 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Claude Opus 4.5 measured
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%11.8%Claude Opus 4.5
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding15031290Claude Opus 4.5
LMArena Text: software and IT14831291Claude Opus 4.5
LMArena WebDev: React1478Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: HTML1510Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
BenchmarkClaude Opus 4.5GPT-4o-mini (2024-07-18)Leader
AA Intelligence Index29.1Not measuredOnly Claude Opus 4.5 measured
Epoch Capabilities Index150.1Not measuredOnly Claude Opus 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
BenchmarkClaude Opus 4.5GPT-4o-mini (2024-07-18)Leader
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1188Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1176Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%Not measuredOnly Claude Opus 4.5 measured
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%17.4%Claude Opus 4.5
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
MCP Atlas69.8%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
BenchmarkClaude Opus 4.5GPT-4o-mini (2024-07-18)Leader
GPQA Diamond85.9%Not measuredOnly Claude Opus 4.5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)86.6%Not measuredOnly Claude Opus 4.5 measured
Humanity's Last Exam (Artificial Analysis run)30.1%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Epoch AI run)86.0%37.7%Claude Opus 4.5
ARC-AGI80.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%10.7%Claude Opus 4.5
Chess puzzles14.0%3.0%Claude Opus 4.5
Mystery game puzzles22.0%12.0%Claude Opus 4.5
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%34.0%Claude Opus 4.5
LMArena Text: hard prompts14761267Claude Opus 4.5
LMArena Text: expert14871234Claude Opus 4.5
LMArena Text: hard prompts in English14821278Claude Opus 4.5
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
BenchmarkClaude Opus 4.5GPT-4o-mini (2024-07-18)Leader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%6.9%Claude Opus 4.5
FrontierMath, tiers 1 to 334.4%0.7%Claude Opus 4.5
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
MATH level 5Not measured52.6%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: math14631267Claude Opus 4.5
LMArena Text: mathematical work14681271Claude Opus 4.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
BenchmarkClaude Opus 4.5GPT-4o-mini (2024-07-18)Leader
MMLU Pro87.3%Not measuredOnly Claude Opus 4.5 measured
LegalBench (Vals AI)84.6%Not measuredOnly Claude Opus 4.5 measured
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%Not measuredOnly Claude Opus 4.5 measured
MortgageTax (Vals AI)68.7%Not measuredOnly Claude Opus 4.5 measured
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%8.3%Claude Opus 4.5
MMLUNot measured76.7%Only GPT-4o-mini (2024-07-18) measured
GeoBench75.0%64.0%Claude Opus 4.5
LMArena Text: science14541286Claude Opus 4.5
LMArena Text: medicine and healthcare14441282Claude Opus 4.5
LMArena Text: legal and government14591305Claude Opus 4.5
LMArena Text: business and finance14481265Claude Opus 4.5
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
PRBench Finance46.2%Not measuredOnly Claude Opus 4.5 measured
PRBench Legal44.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
BenchmarkClaude Opus 4.5GPT-4o-mini (2024-07-18)Leader
Design Arena: websites1247Not measuredOnly Claude Opus 4.5 measured
Design Arena: UI components1236Not measuredOnly Claude Opus 4.5 measured
Design Arena: game dev1228Not measuredOnly Claude Opus 4.5 measured
Design Arena: data viz1243Not measuredOnly Claude Opus 4.5 measured
Design Arena: 3D1213Not measuredOnly Claude Opus 4.5 measured
Design Arena: all code categories1241Not measuredOnly Claude Opus 4.5 measured
Design Arena: SVG1180Not measuredOnly Claude Opus 4.5 measured
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
BenchmarkClaude Opus 4.5GPT-4o-mini (2024-07-18)Leader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%Not measuredOnly Claude Opus 4.5 measured
Long context reasoning (AA-LCR)77.3%Not measuredOnly Claude Opus 4.5 measured
DTBench89.9%Not measuredOnly Claude Opus 4.5 measured
LMCA44.5%Not measuredOnly Claude Opus 4.5 measured
Creative writing (Lech Mazur)Not measured67.2%Only GPT-4o-mini (2024-07-18) measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511286Claude Opus 4.5
LMArena Text: instruction following14781258Claude Opus 4.5
LMArena Text: creative writing14451268Claude Opus 4.5
LMArena VisionNot measured1066Only GPT-4o-mini (2024-07-18) measured
LMArena Text: English14611301Claude Opus 4.5
LMArena Text: non-English14381266Claude Opus 4.5
LMArena Text: Chinese14701265Claude Opus 4.5
LMArena Text: German14491272Claude Opus 4.5
LMArena Text: Japanese14171216Claude Opus 4.5
LMArena Text: Korean14241195Claude Opus 4.5
LMArena Text: French14711297Claude Opus 4.5
LMArena Text: Spanish14571276Claude Opus 4.5
LMArena Text: Russian14471275Claude Opus 4.5
LMArena Text: Polish14391244Claude Opus 4.5
LMArena Text: multi-turn14661285Claude Opus 4.5
LMArena Text: longer queries14791289Claude Opus 4.5
LMArena Text: writing and language14521282Claude Opus 4.5
LMArena Text: entertainment and media14341253Claude Opus 4.5
LMArena Vision: EnglishNot measured1072Only GPT-4o-mini (2024-07-18) measured
LMArena Vision: ChineseNot measured1033Only GPT-4o-mini (2024-07-18) measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
MultiChallenge59.0%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
BenchmarkClaude Opus 4.5GPT-4o-mini (2024-07-18)Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.5$0.018Fits in one request
GPT-4o-mini (2024-07-18)$0.0004Fits in one request

GPT-4o-mini (2024-07-18) costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request
GPT-4o-mini (2024-07-18)$0.0093Fits in one request

GPT-4o-mini (2024-07-18) costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window
GPT-4o-mini (2024-07-18)$0.036Exceeds the context window

GPT-4o-mini (2024-07-18) costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.5 and GPT-4o-mini (2024-07-18)
SpecificationAnthropic Claude Opus 4.5OpenAI GPT-4o-mini (2024-07-18)
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025July 18, 2024
Context window200K128K
Input $/Mtok$5.00$0.15
Output $/Mtok$25.00$0.60
Coding index44.0Not benchmarked
Independent measurements behind it30
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than GPT-4o-mini (2024-07-18) for coding?

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; GPT-4o-mini (2024-07-18) has none, so the two cannot be ranked on coding. Pick GPT-4o-mini (2024-07-18) for output tokens 41.7x cheaper ($0.60 vs $25.00 per million).

Which is cheaper, Claude Opus 4.5 or GPT-4o-mini (2024-07-18)?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-4o-mini (2024-07-18) costs $0.15 and $0.60. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Claude Opus 4.5 or GPT-4o-mini (2024-07-18)?

Claude Opus 4.5, with 200K tokens against 128K.

How many benchmarks is the Claude Opus 4.5 vs GPT-4o-mini (2024-07-18) comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks and GPT-4o-mini (2024-07-18)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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