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Claude Opus 4.7 vs GPT-5 Mini

Claude Opus 4.7 leads GPT-5 Mini on coding, 67.5 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 22, 2026; 77 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace GPT-5 Mini
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
74
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
3
vs boards won of 77 shared

Claude Opus 4.7 or GPT-5 Mini: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 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 $2.95).

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved taskModel BGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved task
Shared results
77
Claude Opus 4.7 only
26
GPT-5 Mini only
24
Like-for-like categories
7 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 4.7 67.5 from 4 benchmarks, GPT-5 Mini 34.2 from 2 benchmarks.
Widest category
Agentic work, 42.9 points apart on average over 2 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 4.7 75.8% against GPT-5 Mini 4.4%, 71.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against GPT-5 Mini $2.00 per million output tokens, 12.5x apart.
Context window
Claude Opus 4.7 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 4.7BarsGPT-5 MiniTies
Coding71
Intelligence20
Agentic work20
Reasoning150
Math70
Knowledge121
General291
All shared boards743
CodingLike-for-likeSix of these boards feed the Vibe Coding Index71
Coding benchmarks for Claude Opus 4.7 and GPT-5 Mini
BenchmarkClaude Opus 4.7GPT-5 MiniLeader
SWE-bench VerifiedNot measured59.8%Only GPT-5 Mini measured
SWE-bench MultilingualNot measured39.7%Only GPT-5 Mini measured
LMArena WebDev1558Not measuredOnly Claude Opus 4.7 measured
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%86.6%GPT-5 Mini
SWE-bench Verified (Vals AI)82.0%60.8%Claude Opus 4.7
Vibe Code Bench (Vals AI)71.0%14.2%Claude Opus 4.7
Code migration (Vals AI)43.9%Not measuredOnly Claude Opus 4.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Artificial Analysis run)Not measured83.8%Only GPT-5 Mini measured
SciCodeNot measured39.0%Only GPT-5 Mini measured
Terminal-Bench Hard (Artificial Analysis run)54.5%33.3%Claude Opus 4.7
Terminal-Bench80.2%34.8%Claude Opus 4.7
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%52.7%Claude Opus 4.7
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: coding15191406Claude Opus 4.7
LMArena Text: software and IT15161394Claude Opus 4.7
LMArena WebDev: React1560Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: HTML1554Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and GPT-5 Mini
BenchmarkClaude Opus 4.7GPT-5 MiniLeader
AA Intelligence Index40.720.6Claude Opus 4.7
Epoch Capabilities Index156.8145.3Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.7 and GPT-5 Mini
BenchmarkClaude Opus 4.7GPT-5 MiniLeader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Finance Agent (Vals AI)51.5%Not measuredOnly Claude Opus 4.7 measured
Tax Agent Bench (Vals AI)23.7%Not measuredOnly Claude Opus 4.7 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Opus 4.7 measured
Excel Modeling Benchmark (Vals AI)63.7%Not measuredOnly Claude Opus 4.7 measured
τ²-Bench Telecom88.6%71.1%Claude Opus 4.7
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937-$31Claude Opus 4.7
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured55.5%Only GPT-5 Mini measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index150
Reasoning benchmarks for Claude Opus 4.7 and GPT-5 Mini
BenchmarkClaude Opus 4.7GPT-5 MiniLeader
GPQA Diamond90.2%80.3%Claude Opus 4.7
MMMU Pro (Vals AI)85.5%78.9%Claude Opus 4.7
GPQA Diamond (Artificial Analysis run)91.4%82.8%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%21.5%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%75.0%Claude Opus 4.7
ARC-AGI93.5%54.3%Claude Opus 4.7
ARC-AGI-275.8%4.4%Claude Opus 4.7
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%24.0%Claude Opus 4.7
Mystery game puzzles28.0%10.0%Claude Opus 4.7
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
VPCTNot measured40.2%Only GPT-5 Mini measured
LMArena Text: hard prompts15061380Claude Opus 4.7
LMArena Text: expert15211379Claude Opus 4.7
LMArena Text: hard prompts in English15081383Claude Opus 4.7
LMArena Vision: diagrams13361202Claude Opus 4.7
LMArena Vision: homework13371210Claude Opus 4.7
Kagi LLM Benchmark80.7%70.3%Claude Opus 4.7
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index70
Math benchmarks for Claude Opus 4.7 and GPT-5 Mini
BenchmarkClaude Opus 4.7GPT-5 MiniLeader
AIME96.3%91.5%Claude Opus 4.7
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 AIME97.8%86.7%Claude Opus 4.7
FrontierMath, tiers 1 to 370.2%46.7%Claude Opus 4.7
FrontierMath, tier 431.7%12.2%Claude Opus 4.7
ProofBench54.0%9.0%Claude Opus 4.7
MATH level 5Not measured97.8%Only GPT-5 Mini measured
LMArena Text: math14981378Claude Opus 4.7
LMArena Text: mathematical work15091380Claude Opus 4.7
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index121
Knowledge benchmarks for Claude Opus 4.7 and GPT-5 Mini
BenchmarkClaude Opus 4.7GPT-5 MiniLeader
MMLU Pro89.9%82.2%Claude Opus 4.7
LegalBench (Vals AI)85.3%81.8%Claude Opus 4.7
CaseLaw (Vals AI)68.4%68.5%GPT-5 Mini
CorpFin (Vals AI)66.1%60.2%Claude Opus 4.7
TaxEval (Vals AI)75.3%75.2%Claude Opus 4.7
MortgageTax (Vals AI)70.3%66.9%Claude Opus 4.7
MedQA (Vals AI)Not measured96.1%Only GPT-5 Mini measured
MedCode (Vals AI)54.9%43.0%Claude Opus 4.7
MMLU Pro (Artificial Analysis run)Not measured83.7%Only GPT-5 Mini measured
SimpleQA Verified51.7%21.6%Claude Opus 4.7
LMArena Text: science15081371Claude Opus 4.7
LMArena Text: medicine and healthcare14951380Claude Opus 4.7
LMArena Text: legal and government15041375Claude Opus 4.7
LMArena Text: business and finance14901358Claude Opus 4.7
FACTS Benchmark Suite45.5%38.6%Claude Opus 4.7
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.7 and GPT-5 Mini
BenchmarkClaude Opus 4.7GPT-5 MiniLeader
Design Arena: websitesNot measured1125Only GPT-5 Mini measured
Design Arena: UI componentsNot measured1103Only GPT-5 Mini measured
Design Arena: game devNot measured1129Only GPT-5 Mini measured
Design Arena: data vizNot measured1131Only GPT-5 Mini measured
Design Arena: 3DNot measured1036Only GPT-5 Mini measured
Design Arena: all code categoriesNot measured1114Only GPT-5 Mini measured
Design Arena: SVGNot measured1091Only GPT-5 Mini measured
Design Arena: ASCII artNot measured1125Only GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index291
General benchmarks for Claude Opus 4.7 and GPT-5 Mini
BenchmarkClaude Opus 4.7GPT-5 MiniLeader
SAGE (Vals AI)56.1%43.0%Claude Opus 4.7
MedScribe (Vals AI)83.0%80.6%Claude Opus 4.7
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%75.4%GPT-5 Mini
Long context reasoning (AA-LCR)78.7%72.3%Claude Opus 4.7
DTBench94.7%80.5%Claude Opus 4.7
LMCA52.2%34.2%Claude Opus 4.7
Fiction.LiveBenchNot measured69.4%Only GPT-5 Mini measured
Creative writing (Lech Mazur)Not measured83.1%Only GPT-5 Mini measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901373Claude Opus 4.7
LMArena Text: instruction following14981357Claude Opus 4.7
LMArena Text: creative writing14861325Claude Opus 4.7
LMArena Vision13171202Claude Opus 4.7
LMArena Text: English14961379Claude Opus 4.7
LMArena Text: non-English14801363Claude Opus 4.7
LMArena Text: Chinese15311386Claude Opus 4.7
LMArena Text: German14951366Claude Opus 4.7
LMArena Text: Japanese14741341Claude Opus 4.7
LMArena Text: Korean14641308Claude Opus 4.7
LMArena Text: French15031386Claude Opus 4.7
LMArena Text: Spanish14941354Claude Opus 4.7
LMArena Text: Russian14941362Claude Opus 4.7
LMArena Text: Polish14891378Claude Opus 4.7
LMArena Text: multi-turn15051363Claude Opus 4.7
LMArena Text: longer queries15051355Claude Opus 4.7
LMArena Text: writing and language14921344Claude Opus 4.7
LMArena Text: entertainment and media14741340Claude Opus 4.7
LMArena Vision: English13221216Claude Opus 4.7
LMArena Vision: Chinese13711214Claude Opus 4.7
LMArena Vision: reading text13271199Claude Opus 4.7
LMArena Vision: humor13091205Claude Opus 4.7
LMArena Vision: captioningNot measured1217Only GPT-5 Mini measured
LMArena Vision: recognizing things12781226Claude Opus 4.7
LMArena Vision: creative writing13261181Claude Opus 4.7
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and GPT-5 Mini
BenchmarkClaude Opus 4.7GPT-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 4.7$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 4.7$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 4.7$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 4.7 and GPT-5 Mini
SpecificationAnthropic Claude Opus 4.7OpenAI GPT-5 Mini
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026August 7, 2025
Context window1M400K
Input $/Mtok$5.00$0.25
Output $/Mtok$25.00$2.00
Coding index67.534.2
Independent measurements behind it42
Cost per solved task$2.95$0.08
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than GPT-5 Mini for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 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 $2.95).

Which is cheaper, Claude Opus 4.7 or GPT-5 Mini?

Claude Opus 4.7 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 4.7 costs $2.95 and GPT-5 Mini $0.08.

Which has the bigger context window, Claude Opus 4.7 or GPT-5 Mini?

Claude Opus 4.7, with 1M tokens against 400K.

How many benchmarks is the Claude Opus 4.7 vs GPT-5 Mini comparison based on?

77 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 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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