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Claude Opus 4.8 vs GPT-5 Mini

Claude Opus 4.8 leads GPT-5 Mini on coding, 65.0 to 34.2 on the Vibe Coding Index, and GPT-5 Mini costs 12.5x less per output token ($2.00 vs $25.00 per million). Updated October 21, 2026; 82 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace GPT-5 Mini
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
81
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
1
vs boards won of 82 shared

Claude Opus 4.8 or GPT-5 Mini: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 34.2 for GPT-5 Mini.

Pick GPT-5 Mini for output tokens 12.5x cheaper ($2.00 vs $25.00 per million) and a lower cost per solved task ($0.08 against $2.17).

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved task
Shared results
82
Claude Opus 4.8 only
48
GPT-5 Mini only
19
Like-for-like categories
8 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 4.8 65.0 from 6 benchmarks, GPT-5 Mini 34.2 from 2 benchmarks.
Widest category
Math, 31.1 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.8 82.7% against GPT-5 Mini 14.2%, 68.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against GPT-5 Mini $2.00 per million output tokens, 12.5x apart.
Context window
Claude Opus 4.8 takes 1M tokens, GPT-5 Mini 400K.

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 4.8BarsGPT-5 MiniTies
Coding80
Intelligence20
Agentic work20
Reasoning150
Math60
Knowledge120
Web design80
General281
All shared boards811
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Opus 4.8 and GPT-5 Mini
BenchmarkClaude Opus 4.8GPT-5 MiniLeader
SWE-bench VerifiedNot measured59.8%Only GPT-5 Mini measured
SWE-bench MultilingualNot measured39.7%Only GPT-5 Mini measured
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev1556Not measuredOnly Claude Opus 4.8 measured
AA Coding Index74.3Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Vals AI)87.8%86.6%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%60.8%Claude Opus 4.8
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%14.2%Claude Opus 4.8
Code migration (Vals AI)47.3%Not measuredOnly Claude Opus 4.8 measured
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%Not measuredOnly Claude Opus 4.8 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Artificial Analysis run)Not measured83.8%Only GPT-5 Mini measured
SciCode54.4%39.0%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)58.3%33.3%Claude Opus 4.8
Terminal-BenchNot measured34.8%Only GPT-5 Mini measured
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%52.7%Claude Opus 4.8
LMArena Text: coding14901406Claude Opus 4.8
LMArena Text: software and IT14881394Claude Opus 4.8
LMArena WebDev: React1557Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev: HTML1543Not measuredOnly Claude Opus 4.8 measured
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and GPT-5 Mini
BenchmarkClaude Opus 4.8GPT-5 MiniLeader
AA Intelligence Index41.820.6Claude Opus 4.8
Epoch Capabilities Index159.0145.3Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.8 and GPT-5 Mini
BenchmarkClaude Opus 4.8GPT-5 MiniLeader
AA Agentic Index41.9Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building web apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building mobile apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1232Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1238Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1221Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1227Not measuredOnly Claude Opus 4.8 measured
Design Arena: spreadsheets1270Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Opus 4.8 measured
Tax Agent Bench (Vals AI)30.0%Not measuredOnly Claude Opus 4.8 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Claude Opus 4.8 measured
Excel Modeling Benchmark (Vals AI)69.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%71.1%Claude Opus 4.8
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787-$31Claude Opus 4.8
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured55.5%Only GPT-5 Mini measured
Neither model has a result on the other 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index150
Reasoning benchmarks for Claude Opus 4.8 and GPT-5 Mini
BenchmarkClaude Opus 4.8GPT-5 MiniLeader
GPQA Diamond92.4%80.3%Claude Opus 4.8
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%78.9%Claude Opus 4.8
GPQA Diamond (Artificial Analysis run)92.0%82.8%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%21.5%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%75.0%Claude Opus 4.8
ARC-AGI92.5%54.3%Claude Opus 4.8
ARC-AGI-272.1%4.4%Claude Opus 4.8
SimpleBench64.8%Not measuredOnly Claude Opus 4.8 measured
Chess puzzles52.0%24.0%Claude Opus 4.8
Mystery game puzzles36.0%10.0%Claude Opus 4.8
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
VPCTNot measured40.2%Only GPT-5 Mini measured
LMArena Text: hard prompts14821380Claude Opus 4.8
LMArena Text: expert15031379Claude Opus 4.8
LMArena Text: hard prompts in English14871383Claude Opus 4.8
LMArena Vision: diagrams13151202Claude Opus 4.8
LMArena Vision: homework13371210Claude Opus 4.8
Kagi LLM Benchmark88.8%70.3%Claude Opus 4.8
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Opus 4.8 and GPT-5 Mini
BenchmarkClaude Opus 4.8GPT-5 MiniLeader
AIMENot measured91.5%Only GPT-5 Mini measured
MATH 500 (Vals AI)Not measured94.8%Only GPT-5 Mini measured
MGSM (Vals AI)Not measured92.6%Only GPT-5 Mini measured
AA Math IndexNot measured90.7Only GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only GPT-5 Mini measured
OTIS Mock AIME98.3%86.7%Claude Opus 4.8
FrontierMath, tiers 1 to 380.0%46.7%Claude Opus 4.8
FrontierMath, tier 456.1%12.2%Claude Opus 4.8
ProofBench69.0%9.0%Claude Opus 4.8
MATH level 5Not measured97.8%Only GPT-5 Mini measured
LMArena Text: math14861378Claude Opus 4.8
LMArena Text: mathematical work14971380Claude Opus 4.8
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
Knowledge benchmarks for Claude Opus 4.8 and GPT-5 Mini
BenchmarkClaude Opus 4.8GPT-5 MiniLeader
MMLU Pro89.6%82.2%Claude Opus 4.8
LegalBench (Vals AI)83.6%81.8%Claude Opus 4.8
CaseLaw (Vals AI)Not measured68.5%Only GPT-5 Mini measured
CorpFin (Vals AI)66.7%60.2%Claude Opus 4.8
TaxEval (Vals AI)75.6%75.2%Claude Opus 4.8
MortgageTax (Vals AI)69.9%66.9%Claude Opus 4.8
MedQA (Vals AI)Not measured96.1%Only GPT-5 Mini measured
MedCode (Vals AI)53.2%43.0%Claude Opus 4.8
MMLU Pro (Artificial Analysis run)Not measured83.7%Only GPT-5 Mini measured
SimpleQA Verified53.0%21.6%Claude Opus 4.8
LMArena Text: science14771371Claude Opus 4.8
LMArena Text: medicine and healthcare14641380Claude Opus 4.8
LMArena Text: legal and government14771375Claude Opus 4.8
LMArena Text: business and finance14581358Claude Opus 4.8
FACTS Benchmark Suite53.5%38.6%Claude Opus 4.8
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.8 and GPT-5 Mini
BenchmarkClaude Opus 4.8GPT-5 MiniLeader
Design Arena: websites12591125Claude Opus 4.8
Design Arena: UI components12571106Claude Opus 4.8
Design Arena: game dev12641130Claude Opus 4.8
Design Arena: data viz12401130Claude Opus 4.8
Design Arena: 3D12231037Claude Opus 4.8
Design Arena: all code categories12551115Claude Opus 4.8
Design Arena: SVG11941091Claude Opus 4.8
Design Arena: ASCII art12771125Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index281
General benchmarks for Claude Opus 4.8 and GPT-5 Mini
BenchmarkClaude Opus 4.8GPT-5 MiniLeader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%43.0%Claude Opus 4.8
MedScribe (Vals AI)85.8%80.6%Claude Opus 4.8
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%75.4%GPT-5 Mini
Long context reasoning (AA-LCR)77.7%72.3%Claude Opus 4.8
DTBench94.9%80.5%Claude Opus 4.8
LMCA57.5%34.2%Claude Opus 4.8
Fiction.LiveBenchNot measured69.4%Only GPT-5 Mini measured
Creative writing (Lech Mazur)Not measured83.1%Only GPT-5 Mini measured
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text14611373Claude Opus 4.8
LMArena Text: instruction following14761357Claude Opus 4.8
LMArena Text: creative writing14541325Claude Opus 4.8
LMArena Vision12941202Claude Opus 4.8
LMArena Text: English14681379Claude Opus 4.8
LMArena Text: non-English14501363Claude Opus 4.8
LMArena Text: Chinese15061386Claude Opus 4.8
LMArena Text: German14721366Claude Opus 4.8
LMArena Text: Japanese14421341Claude Opus 4.8
LMArena Text: Korean14311308Claude Opus 4.8
LMArena Text: French14811386Claude Opus 4.8
LMArena Text: Spanish14651354Claude Opus 4.8
LMArena Text: Russian14741362Claude Opus 4.8
LMArena Text: Polish14591378Claude Opus 4.8
LMArena Text: multi-turn14761363Claude Opus 4.8
LMArena Text: longer queries14831355Claude Opus 4.8
LMArena Text: writing and language14611344Claude Opus 4.8
LMArena Text: entertainment and media14401340Claude Opus 4.8
LMArena Vision: English12931216Claude Opus 4.8
LMArena Vision: Chinese13461214Claude Opus 4.8
LMArena Vision: reading text13031199Claude Opus 4.8
LMArena Vision: humor12821205Claude Opus 4.8
LMArena Vision: captioningNot measured1217Only GPT-5 Mini measured
LMArena Vision: recognizing thingsNot measured1226Only GPT-5 Mini measured
LMArena Vision: creative writing13011181Claude Opus 4.8
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 7 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and GPT-5 Mini
BenchmarkClaude Opus 4.8GPT-5 MiniLeader
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 4.8$0.018Fits in one request
GPT-5 Mini$0.0013Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
GPT-5 Mini$0.018Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
GPT-5 Mini$0.070Fits in one request

GPT-5 Mini 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 4.8 and GPT-5 Mini
SpecificationAnthropic Claude Opus 4.8OpenAI GPT-5 Mini
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 27, 2026August 7, 2025
Context window1M400K
Input $/Mtok$5.00$0.25
Output $/Mtok$25.00$2.00
Coding index65.034.2
Independent measurements behind it62
Cost per solved task$2.17$0.08
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than GPT-5 Mini for coding?

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 34.2 for GPT-5 Mini. Pick GPT-5 Mini for output tokens 12.5x cheaper ($2.00 vs $25.00 per million) and a lower cost per solved task ($0.08 against $2.17).

Which is cheaper, Claude Opus 4.8 or GPT-5 Mini?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5 Mini costs $0.25 and $2.00. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and GPT-5 Mini $0.08.

Which has the bigger context window, Claude Opus 4.8 or GPT-5 Mini?

Claude Opus 4.8, with 1M tokens against 400K.

How many benchmarks is the Claude Opus 4.8 vs GPT-5 Mini comparison based on?

82 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8's coding index rests on 6 independent benchmarks and GPT-5 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.

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