Enter opens the highlighted result. Esc closes.

Claude Opus 4.8 vs GPT-5.6 Sol

GPT-5.6 Sol leads Claude Opus 4.8 on coding, 73.5 to 65.0 on the Vibe Coding Index, and GPT-5.6 Sol costs 1.3x less per output token ($20.00 vs $25.00 per million). Updated October 22, 2026; 126 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace GPT-5.6 Sol
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
42
GPT-5.6 SolOpenAI
Coding
73.5
Overall
74.7
Output $/M
$20.00
83
vs boards won of 126 shared, 1 tied

Claude Opus 4.8 or GPT-5.6 Sol: which to pick

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 65.0 for Claude Opus 4.8.

Pick Claude Opus 4.8 for work measured by LiveCodeBench (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BGPT-5.6 SolOpenAI73.5/1006 independent benchmarks$1.20 per solved task
Shared results
126
Claude Opus 4.8 only
4
GPT-5.6 Sol only
13
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-5.6 Sol 73.5 from 6 benchmarks.
Widest category
Web design, 10.4 points apart on average over 9 shared benchmarks.
Widest single gap
GSO-Bench: Claude Opus 4.8 47.1% against GPT-5.6 Sol 76.5%, 29.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against GPT-5.6 Sol $20.00 per million output tokens, 1.3x apart.
Context window
Claude Opus 4.8 takes 1M tokens, GPT-5.6 Sol 1.05M.

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-5.6 SolTies
Coding417
Intelligence02
Agentic work419
Reasoning4131 tie
Math24
Knowledge102
Web design09
General1817
All shared boards42831 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index417
Coding benchmarks for Claude Opus 4.8 and GPT-5.6 Sol
BenchmarkClaude Opus 4.8GPT-5.6 SolLeader
LiveBench coding77.3%89.7%GPT-5.6 Sol
LMArena WebDev15561616GPT-5.6 Sol
AA Coding Index74.377.4GPT-5.6 Sol
LiveCodeBench (Vals AI)87.8%82.6%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%96.2%GPT-5.6 Sol
Terminal-Bench 4 (Vals AI)23.2%37.9%GPT-5.6 Sol
Vibe Code Bench (Vals AI)82.7%80.5%Claude Opus 4.8
Code migration (Vals AI)47.3%52.9%GPT-5.6 Sol
ProgramBench (Vals AI)1.0%1.5%GPT-5.6 Sol
IOI (Vals AI)Not measured91.2%Only GPT-5.6 Sol measured
Terminal-Bench 2.1 (Vals AI)71.9%85.8%GPT-5.6 Sol
Vibe Code Bench 1-100 (Vals AI)Not measured20.0%Only GPT-5.6 Sol measured
SkillsBench (Vals AI)59.2%54.1%Claude Opus 4.8
CyberBench (Vals AI)Not measured76.3%Only GPT-5.6 Sol measured
SciCode54.4%57.8%GPT-5.6 Sol
Terminal-Bench Hard (Artificial Analysis run)58.3%65.9%GPT-5.6 Sol
FrontierCode46.5%47.5%GPT-5.6 Sol
FrontierSWENot measured32.2%Only GPT-5.6 Sol measured
GSO-Bench47.1%76.5%GPT-5.6 Sol
WeirdML82.9%88.8%GPT-5.6 Sol
MirrorCodeNot measured20.0%Only GPT-5.6 Sol measured
ALE-BenchNot measured2176.9Only GPT-5.6 Sol measured
LMArena Text: coding14901496GPT-5.6 Sol
LMArena Text: software and IT14881489GPT-5.6 Sol
LMArena WebDev: React15571620GPT-5.6 Sol
LMArena WebDev: HTML15431618GPT-5.6 Sol
LMArena WebDev: from an imageNot measured1609Only GPT-5.6 Sol measured
SciCode12.3%10.8%Claude Opus 4.8
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.8 and GPT-5.6 Sol
BenchmarkClaude Opus 4.8GPT-5.6 SolLeader
AA Intelligence Index41.847.0GPT-5.6 Sol
Epoch Capabilities Index159.0162.8GPT-5.6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index419
Agentic work benchmarks for Claude Opus 4.8 and GPT-5.6 Sol
BenchmarkClaude Opus 4.8GPT-5.6 SolLeader
AA Agentic Index41.950.2GPT-5.6 Sol
Design Arena: agents building web apps12331245GPT-5.6 Sol
Design Arena: agents building full-stack apps12491261GPT-5.6 Sol
Design Arena: agents building mobile apps12231248GPT-5.6 Sol
Design Arena: agents building Android apps12331240GPT-5.6 Sol
Design Arena: agents building Godot games12311260GPT-5.6 Sol
Design Arena: agents building games12391266GPT-5.6 Sol
Design Arena: HTML slides11711236GPT-5.6 Sol
Design Arena: PowerPoint slides12041217GPT-5.6 Sol
Design Arena: spreadsheets1311Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%54.5%Claude Opus 4.8
LiveBench browser96.0%88.0%Claude Opus 4.8
LiveBench long agentic48.3%48.5%GPT-5.6 Sol
SREBench (Vals AI)Not measured30.5%Only GPT-5.6 Sol measured
Finance Agent (Vals AI)53.9%53.8%Claude Opus 4.8
Tax Agent Bench (Vals AI)30.0%31.1%GPT-5.6 Sol
Legal Research Bench (Vals AI)43.8%48.1%GPT-5.6 Sol
Excel Modeling Benchmark (Vals AI)69.4%72.3%GPT-5.6 Sol
BioMysteryBench (Vals AI)Not measured71.1%Only GPT-5.6 Sol measured
Terminal-Bench-Science (Vals AI)4.3%20.0%GPT-5.6 Sol
Vals Science IndexNot measured41.5%Only GPT-5.6 Sol measured
Time Horizon Index (Vals AI)11.8%23.8%GPT-5.6 Sol
CUA-bench (Vals AI)Not measured8.3%Only GPT-5.6 Sol measured
τ²-Bench Telecom94.4%85.1%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%27.3%GPT-5.6 Sol
BALROGNot measured60.0%Only GPT-5.6 Sol measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%36.2%GPT-5.6 Sol
Vending-Bench 2$5,787$9,619GPT-5.6 Sol
LMArena Search12041261GPT-5.6 Sol
Neither model has a result on the other 9 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index413
Reasoning benchmarks for Claude Opus 4.8 and GPT-5.6 Sol
BenchmarkClaude Opus 4.8GPT-5.6 SolLeader
GPQA Diamond92.4%95.2%GPT-5.6 Sol
LiveBench reasoning89.2%91.7%GPT-5.6 Sol
MysteryMechanism (Vals AI)Not measured33.3%Only GPT-5.6 Sol measured
MMMU Pro (Vals AI)86.6%88.8%GPT-5.6 Sol
GPQA Diamond (Artificial Analysis run)92.0%94.1%GPT-5.6 Sol
Humanity's Last Exam (Artificial Analysis run)48.7%49.5%GPT-5.6 Sol
GPQA Diamond (Epoch AI run)91.0%93.5%GPT-5.6 Sol
ARC-AGI92.5%97.5%GPT-5.6 Sol
ARC-AGI-272.1%92.5%GPT-5.6 Sol
SimpleBench64.8%64.8%Tie
Chess puzzles52.0%59.0%GPT-5.6 Sol
Mystery game puzzles36.0%58.0%GPT-5.6 Sol
EBR-bench28.6%44.8%GPT-5.6 Sol
LMArena Text: hard prompts14821483GPT-5.6 Sol
LMArena Text: expert15031517GPT-5.6 Sol
LMArena Text: hard prompts in English14871477Claude Opus 4.8
LMArena Vision: diagrams13151305Claude Opus 4.8
LMArena Vision: homework13371305Claude Opus 4.8
Kagi LLM Benchmark88.8%67.0%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 index24
Math benchmarks for Claude Opus 4.8 and GPT-5.6 Sol
BenchmarkClaude Opus 4.8GPT-5.6 SolLeader
OTIS Mock AIME98.3%100.0%GPT-5.6 Sol
FrontierMath, tiers 1 to 380.0%89.1%GPT-5.6 Sol
FrontierMath, tier 456.1%82.9%GPT-5.6 Sol
ProofBench69.0%83.0%GPT-5.6 Sol
LMArena Text: math14861473Claude Opus 4.8
LMArena Text: mathematical work14971496Claude Opus 4.8
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index102
Knowledge benchmarks for Claude Opus 4.8 and GPT-5.6 Sol
BenchmarkClaude Opus 4.8GPT-5.6 SolLeader
MMLU Pro89.6%89.1%Claude Opus 4.8
LegalBench (Vals AI)83.6%87.0%GPT-5.6 Sol
CorpFin (Vals AI)66.7%64.4%Claude Opus 4.8
TaxEval (Vals AI)75.6%74.8%Claude Opus 4.8
MortgageTax (Vals AI)69.9%67.3%Claude Opus 4.8
MedCode (Vals AI)53.2%44.0%Claude Opus 4.8
SimpleQA Verified53.0%69.7%GPT-5.6 Sol
LMArena Text: science14771455Claude Opus 4.8
LMArena Text: medicine and healthcare14641431Claude Opus 4.8
LMArena Text: legal and government14771476Claude Opus 4.8
LMArena Text: business and finance14581457Claude Opus 4.8
FACTS Benchmark Suite53.5%52.4%Claude Opus 4.8
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index09
Web design benchmarks for Claude Opus 4.8 and GPT-5.6 Sol
BenchmarkClaude Opus 4.8GPT-5.6 SolLeader
Design Arena: websites12581321GPT-5.6 Sol
Design Arena: UI components12551335GPT-5.6 Sol
Design Arena: game dev12641367GPT-5.6 Sol
Design Arena: data viz12401323GPT-5.6 Sol
Design Arena: 3D12221384GPT-5.6 Sol
Design Arena: all code categories12551341GPT-5.6 Sol
Design Arena: SVG11941315GPT-5.6 Sol
Design Arena: ASCII art12771304GPT-5.6 Sol
LiveBench design78.8%81.6%GPT-5.6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index1817
General benchmarks for Claude Opus 4.8 and GPT-5.6 Sol
BenchmarkClaude Opus 4.8GPT-5.6 SolLeader
LiveBench data analysis66.0%79.8%GPT-5.6 Sol
Public Benefits Bench (Vals AI)68.1%66.5%Claude Opus 4.8
SAGE (Vals AI)54.8%52.6%Claude Opus 4.8
MedScribe (Vals AI)85.8%85.2%Claude Opus 4.8
Vals Multimodal Index70.9%72.6%GPT-5.6 Sol
IFBench62.2%72.7%GPT-5.6 Sol
Long context reasoning (AA-LCR)77.7%84.0%GPT-5.6 Sol
DTBench94.9%95.7%GPT-5.6 Sol
LMCA57.5%58.5%GPT-5.6 Sol
Surface Evolver Bench87.5%93.1%GPT-5.6 Sol
Furniture assembly42.5%56.7%GPT-5.6 Sol
LMArena Text14611457Claude Opus 4.8
LMArena Text: instruction following14761483GPT-5.6 Sol
LMArena Text: creative writing14541449Claude Opus 4.8
LMArena Vision12941281Claude Opus 4.8
LMArena Text: English14681457Claude Opus 4.8
LMArena Text: non-English14501451GPT-5.6 Sol
LMArena Text: Chinese15061525GPT-5.6 Sol
LMArena Text: German14721476GPT-5.6 Sol
LMArena Text: Japanese14421472GPT-5.6 Sol
LMArena Text: Korean14311442GPT-5.6 Sol
LMArena Text: French14811472Claude Opus 4.8
LMArena Text: Spanish14651443Claude Opus 4.8
LMArena Text: Russian14741471Claude Opus 4.8
LMArena Text: Polish14591459Claude Opus 4.8
LMArena Text: multi-turn14761461Claude Opus 4.8
LMArena Text: longer queries14831481Claude Opus 4.8
LMArena Text: writing and language14611462GPT-5.6 Sol
LMArena Text: entertainment and media14401450GPT-5.6 Sol
LMArena Vision: English12931280Claude Opus 4.8
LMArena Vision: Chinese13461313Claude Opus 4.8
LMArena Vision: reading text13031290Claude Opus 4.8
LMArena Vision: humor12821246Claude Opus 4.8
LMArena Vision: creative writing13011283Claude Opus 4.8
LMArena Document14751483GPT-5.6 Sol
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 4.8 and GPT-5.6 Sol
BenchmarkClaude Opus 4.8GPT-5.6 SolLeader
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-5.6 Sol$0.014Fits in one request

GPT-5.6 Sol costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
GPT-5.6 Sol$0.260Fits in one request

GPT-5.6 Sol costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
GPT-5.6 Sol$1.00Fits in one request

GPT-5.6 Sol 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-5.6 Sol
SpecificationAnthropic Claude Opus 4.8OpenAI GPT-5.6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 27, 2026July 9, 2026
Context window1M1.05M
Input $/Mtok$5.00$4.00
Output $/Mtok$25.00$20.00
Coding index65.073.5
Independent measurements behind it66
Cost per solved task$2.17$1.20
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than GPT-5.6 Sol for coding?

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 65.0 for Claude Opus 4.8. Pick Claude Opus 4.8 for work measured by LiveCodeBench (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, Claude Opus 4.8 or GPT-5.6 Sol?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and GPT-5.6 Sol $1.20.

Which has the bigger context window, Claude Opus 4.8 or GPT-5.6 Sol?

GPT-5.6 Sol, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.8 vs GPT-5.6 Sol comparison based on?

126 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.8's coding index rests on 6 independent benchmarks and GPT-5.6 Sol's on 6. 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-4-8-vs-gpt-5-6-sol" title="Claude Opus 4.8 vs GPT-5.6 Sol, 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-4-8-vs-gpt-5-6-sol">LLMBenchmark.ai, Claude Opus 4.8 vs GPT-5.6 Sol</a></p>