Enter opens the highlighted result. Esc closes.

Claude Opus 4.6 vs GPT-5.4 Mini

Claude Opus 4.6 leads GPT-5.4 Mini on coding, 57.2 to 35.8 on the Vibe Coding Index, and GPT-5.4 Mini costs 5.6x less per output token ($4.50 vs $25.00 per million). Updated October 22, 2026; 76 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace GPT-5.4 Mini
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
71
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
4
vs boards won of 76 shared, 1 tied

Claude Opus 4.6 or GPT-5.4 Mini: which to pick

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini, though on 4 benchmarks against 5.

Pick GPT-5.4 Mini for output tokens 5.6x cheaper ($4.50 vs $25.00 per million) and a lower cost per solved task ($0.70 against $1.56).

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved task
Shared results
76
Claude Opus 4.6 only
34
GPT-5.4 Mini only
13
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 4.6 57.2 from 4 benchmarks, GPT-5.4 Mini 35.8 from 5 benchmarks.
Widest category
Reasoning, 16.3 points apart on average over 15 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 4.6 69.2% against GPT-5.4 Mini 18.9%, 50.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against GPT-5.4 Mini $4.50 per million output tokens, 5.6x apart.
Context window
Claude Opus 4.6 takes 1M tokens, GPT-5.4 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 4.6BarsGPT-5.4 MiniTies
Coding92
Intelligence20
Agentic work20
Reasoning141
Math601 tie
Knowledge100
General281
All shared boards7141 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index92
Coding benchmarks for Claude Opus 4.6 and GPT-5.4 Mini
BenchmarkClaude Opus 4.6GPT-5.4 MiniLeader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev15471397Claude Opus 4.6
AA Coding IndexNot measured56.1Only GPT-5.4 Mini measured
LiveCodeBench (Vals AI)84.7%81.5%Claude Opus 4.6
SWE-bench Verified (Vals AI)78.2%73.0%Claude Opus 4.6
Terminal-Bench 4 (Vals AI)Not measured2.5%Only GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)57.6%48.0%Claude Opus 4.6
Code migration (Vals AI)Not measured12.9%Only GPT-5.4 Mini measured
ProgramBench (Vals AI)Not measured0.0%Only GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)Not measured54.7%Only GPT-5.4 Mini measured
SciCodeNot measured52.1%Only GPT-5.4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)48.5%52.3%GPT-5.4 Mini
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%27.0%GPT-5.4 Mini
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%60.3%Claude Opus 4.6
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured1188.6Only GPT-5.4 Mini measured
LMArena Text: coding15341438Claude Opus 4.6
LMArena Text: software and IT15271436Claude Opus 4.6
LMArena WebDev: React15391386Claude Opus 4.6
LMArena WebDev: HTML15591419Claude Opus 4.6
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.6 and GPT-5.4 Mini
BenchmarkClaude Opus 4.6GPT-5.4 MiniLeader
AA Intelligence Index31.924.1Claude Opus 4.6
Epoch Capabilities Index155.7148.7Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.6 and GPT-5.4 Mini
BenchmarkClaude Opus 4.6GPT-5.4 MiniLeader
AA Agentic IndexNot measured17.9Only GPT-5.4 Mini measured
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
Finance Agent (Vals AI)Not measured45.4%Only GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)Not measured8.8%Only GPT-5.4 Mini measured
Legal Research Bench (Vals AI)Not measured12.5%Only GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)Not measured45.4%Only GPT-5.4 Mini measured
τ²-Bench Telecom92.1%83.3%Claude Opus 4.6
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%36.3%Claude Opus 4.6
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index141
Reasoning benchmarks for Claude Opus 4.6 and GPT-5.4 Mini
BenchmarkClaude Opus 4.6GPT-5.4 MiniLeader
GPQA Diamond89.7%83.1%Claude Opus 4.6
MMMU Pro (Vals AI)83.9%79.3%Claude Opus 4.6
GPQA Diamond (Artificial Analysis run)89.6%87.5%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%28.1%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%86.9%Claude Opus 4.6
ARC-AGI94.0%63.7%Claude Opus 4.6
ARC-AGI-269.2%18.9%Claude Opus 4.6
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%23.0%GPT-5.4 Mini
Mystery game puzzles25.0%11.0%Claude Opus 4.6
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251424Claude Opus 4.6
LMArena Text: expert15441435Claude Opus 4.6
LMArena Text: hard prompts in English15301420Claude Opus 4.6
LMArena Vision: diagrams13401266Claude Opus 4.6
LMArena Vision: homework13371285Claude Opus 4.6
Kagi LLM Benchmark83.6%37.9%Claude Opus 4.6
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Opus 4.6 and GPT-5.4 Mini
BenchmarkClaude Opus 4.6GPT-5.4 MiniLeader
AIME95.6%95.6%Tie
OTIS Mock AIME94.4%88.9%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%51.2%Claude Opus 4.6
FrontierMath, tier 426.8%9.8%Claude Opus 4.6
ProofBench50.0%21.0%Claude Opus 4.6
LMArena Text: math15181418Claude Opus 4.6
LMArena Text: mathematical work15251429Claude Opus 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Opus 4.6 and GPT-5.4 Mini
BenchmarkClaude Opus 4.6GPT-5.4 MiniLeader
MMLU Pro89.1%84.5%Claude Opus 4.6
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.6 measured
CaseLaw (Vals AI)62.1%51.7%Claude Opus 4.6
CorpFin (Vals AI)67.0%60.9%Claude Opus 4.6
TaxEval (Vals AI)76.0%71.2%Claude Opus 4.6
MortgageTax (Vals AI)68.5%63.5%Claude Opus 4.6
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%Not measuredOnly Claude Opus 4.6 measured
SimpleQA Verified47.0%29.4%Claude Opus 4.6
LMArena Text: science15191417Claude Opus 4.6
LMArena Text: medicine and healthcare15041395Claude Opus 4.6
LMArena Text: legal and government15121414Claude Opus 4.6
LMArena Text: business and finance14971418Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.6 and GPT-5.4 Mini
BenchmarkClaude Opus 4.6GPT-5.4 MiniLeader
Design Arena: websites1291Not measuredOnly Claude Opus 4.6 measured
Design Arena: UI components1281Not measuredOnly Claude Opus 4.6 measured
Design Arena: game dev1277Not measuredOnly Claude Opus 4.6 measured
Design Arena: data viz1279Not measuredOnly Claude Opus 4.6 measured
Design Arena: 3D1273Not measuredOnly Claude Opus 4.6 measured
Design Arena: all code categories1288Not measuredOnly Claude Opus 4.6 measured
Design Arena: SVG1227Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art1255Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index281
General benchmarks for Claude Opus 4.6 and GPT-5.4 Mini
BenchmarkClaude Opus 4.6GPT-5.4 MiniLeader
SAGE (Vals AI)51.6%50.8%Claude Opus 4.6
MedScribe (Vals AI)86.7%Not measuredOnly Claude Opus 4.6 measured
Vals Multimodal IndexNot measured54.2%Only GPT-5.4 Mini measured
IFBench53.1%73.3%GPT-5.4 Mini
Long context reasoning (AA-LCR)78.0%77.0%Claude Opus 4.6
DTBench91.2%80.0%Claude Opus 4.6
LMCA55.8%40.8%Claude Opus 4.6
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011412Claude Opus 4.6
LMArena Text: instruction following15211405Claude Opus 4.6
LMArena Text: creative writing15051370Claude Opus 4.6
LMArena Vision13161245Claude Opus 4.6
LMArena Text: English15111412Claude Opus 4.6
LMArena Text: non-English14881405Claude Opus 4.6
LMArena Text: Chinese15511446Claude Opus 4.6
LMArena Text: German15001408Claude Opus 4.6
LMArena Text: Japanese14881375Claude Opus 4.6
LMArena Text: Korean14641370Claude Opus 4.6
LMArena Text: French15121441Claude Opus 4.6
LMArena Text: Spanish15101405Claude Opus 4.6
LMArena Text: Russian14971417Claude Opus 4.6
LMArena Text: Polish14991415Claude Opus 4.6
LMArena Text: multi-turn15111429Claude Opus 4.6
LMArena Text: longer queries15181408Claude Opus 4.6
LMArena Text: writing and language15021393Claude Opus 4.6
LMArena Text: entertainment and media14921373Claude Opus 4.6
LMArena Vision: English13241244Claude Opus 4.6
LMArena Vision: Chinese13701286Claude Opus 4.6
LMArena Vision: reading text13261253Claude Opus 4.6
LMArena Vision: humor13141235Claude Opus 4.6
LMArena Vision: recognizing things12741218Claude Opus 4.6
LMArena Vision: creative writing13311222Claude Opus 4.6
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.6 and GPT-5.4 Mini
BenchmarkClaude Opus 4.6GPT-5.4 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 4.6$0.018Fits in one request
GPT-5.4 Mini$0.0030Fits in one request

GPT-5.4 Mini costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
GPT-5.4 Mini$0.051Fits in one request

GPT-5.4 Mini costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
GPT-5.4 Mini$0.195Fits in one request

GPT-5.4 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 4.6 and GPT-5.4 Mini
SpecificationAnthropic Claude Opus 4.6OpenAI GPT-5.4 Mini
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026March 17, 2026
Context window1M400K
Input $/Mtok$5.00$0.75
Output $/Mtok$25.00$4.50
Coding index57.235.8
Independent measurements behind it45
Cost per solved task$1.56$0.70
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than GPT-5.4 Mini for coding?

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini, though on 4 benchmarks against 5. Pick GPT-5.4 Mini for output tokens 5.6x cheaper ($4.50 vs $25.00 per million) and a lower cost per solved task ($0.70 against $1.56).

Which is cheaper, Claude Opus 4.6 or GPT-5.4 Mini?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.4 Mini costs $0.75 and $4.50. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and GPT-5.4 Mini $0.70.

Which has the bigger context window, Claude Opus 4.6 or GPT-5.4 Mini?

Claude Opus 4.6, with 1M tokens against 400K.

How many benchmarks is the Claude Opus 4.6 vs GPT-5.4 Mini comparison based on?

76 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks and GPT-5.4 Mini's on 5. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-opus-4-6-vs-gpt-5-4-mini" title="Claude Opus 4.6 vs GPT-5.4 Mini, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-6-vs-gpt-5-4-mini">LLMBenchmark.ai, Claude Opus 4.6 vs GPT-5.4 Mini</a></p>