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Claude Opus 4.7 vs GPT-5.6 Terra

Claude Opus 4.7 leads GPT-5.6 Terra on coding, 67.5 to 63.9 on the Vibe Coding Index, and GPT-5.6 Terra costs 2.1x less per output token ($12.00 vs $25.00 per million). Updated October 23, 2026; 93 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace GPT-5.6 Terra
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
56
GPT-5.6 TerraOpenAI
Coding
63.9
Overall
68.1
Output $/M
$12.00
37
vs boards won of 93 shared

Claude Opus 4.7 or GPT-5.6 Terra: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 63.9 for GPT-5.6 Terra, though on 4 benchmarks against 6.

Pick GPT-5.6 Terra for output tokens 2.1x cheaper ($12.00 vs $25.00 per million) and a lower cost per solved task ($0.42 against $2.95).

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved taskModel BGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved task
Shared results
93
Claude Opus 4.7 only
16
GPT-5.6 Terra only
36
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-5.6 Terra 63.9 from 6 benchmarks.
Widest category
Math, 14.6 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Opus 4.7 31.7% against GPT-5.6 Terra 70.7%, 39.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against GPT-5.6 Terra $12.00 per million output tokens, 2.1x apart.
Context window
Claude Opus 4.7 takes 1M tokens, GPT-5.6 Terra 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 4.7BarsGPT-5.6 TerraTies
Coding610
Intelligence02
Agentic work26
Reasoning79
Math24
Knowledge102
General294
All shared boards5637
CodingLike-for-likeSix of these boards feed the Vibe Coding Index610
Coding benchmarks for Claude Opus 4.7 and GPT-5.6 Terra
BenchmarkClaude Opus 4.7GPT-5.6 TerraLeader
LiveBench codingNot measured86.2%Only GPT-5.6 Terra measured
LMArena WebDev15581521Claude Opus 4.7
AA Coding Index73.676.7GPT-5.6 Terra
LiveCodeBench (Vals AI)85.1%85.9%GPT-5.6 Terra
SWE-bench Verified (Vals AI)82.0%95.4%GPT-5.6 Terra
Terminal-Bench 4 (Vals AI)Not measured22.7%Only GPT-5.6 Terra measured
Vibe Code Bench (Vals AI)71.0%74.6%GPT-5.6 Terra
Code migration (Vals AI)43.9%47.8%GPT-5.6 Terra
ProgramBench (Vals AI)0.0%0.5%GPT-5.6 Terra
IOI (Vals AI)Not measured87.6%Only GPT-5.6 Terra measured
Terminal-Bench 2.1 (Vals AI)68.5%77.5%GPT-5.6 Terra
Vibe Code Bench 1-100 (Vals AI)Not measured14.8%Only GPT-5.6 Terra measured
SkillsBench (Vals AI)Not measured58.9%Only GPT-5.6 Terra measured
CyberBench (Vals AI)Not measured72.1%Only GPT-5.6 Terra measured
SciCodeNot measured55.0%Only GPT-5.6 Terra measured
Terminal-Bench Hard (Artificial Analysis run)54.5%62.9%GPT-5.6 Terra
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%41.3%GPT-5.6 Terra
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%78.3%GPT-5.6 Terra
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured1951.4Only GPT-5.6 Terra measured
LMArena Text: coding15181486Claude Opus 4.7
LMArena Text: software and IT15161482Claude Opus 4.7
LMArena WebDev: React15601511Claude Opus 4.7
LMArena WebDev: HTML15541526Claude Opus 4.7
LMArena WebDev: from an image15771541Claude Opus 4.7
SciCodeNot measured10.8%Only GPT-5.6 Terra measured
SWE-Bench Pro V2Not measured92.4%Only GPT-5.6 Terra measured
SWE Atlas: Codebase QnA40.3%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Refactoring48.6%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Test Writing38.5%Not measuredOnly Claude Opus 4.7 measured
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 4.7 and GPT-5.6 Terra
BenchmarkClaude Opus 4.7GPT-5.6 TerraLeader
AA Intelligence Index40.742.1GPT-5.6 Terra
Epoch Capabilities Index156.8160.1GPT-5.6 Terra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index26
Agentic work benchmarks for Claude Opus 4.7 and GPT-5.6 Terra
BenchmarkClaude Opus 4.7GPT-5.6 TerraLeader
AA Agentic Index38.643.2GPT-5.6 Terra
Design Arena: agents building web appsNot measured1120Only GPT-5.6 Terra measured
Design Arena: agents building full-stack appsNot measured1061Only GPT-5.6 Terra measured
Design Arena: agents building mobile appsNot measured1110Only GPT-5.6 Terra measured
Design Arena: agents building Android appsNot measured1061Only GPT-5.6 Terra measured
Design Arena: agents building gamesNot measured1081Only GPT-5.6 Terra measured
Design Arena: HTML slidesNot measured1013Only GPT-5.6 Terra measured
Design Arena: PowerPoint slidesNot measured1095Only GPT-5.6 Terra measured
LiveBench researchNot measured60.4%Only GPT-5.6 Terra measured
LiveBench browserNot measured84.0%Only GPT-5.6 Terra measured
LiveBench long agenticNot measured48.4%Only GPT-5.6 Terra measured
SREBench (Vals AI)Not measured9.5%Only GPT-5.6 Terra measured
Finance Agent (Vals AI)51.5%54.4%GPT-5.6 Terra
Tax Agent Bench (Vals AI)23.7%30.0%GPT-5.6 Terra
Legal Research Bench (Vals AI)38.5%41.4%GPT-5.6 Terra
Excel Modeling Benchmark (Vals AI)63.7%66.2%GPT-5.6 Terra
Terminal-Bench-Science (Vals AI)Not measured10.0%Only GPT-5.6 Terra measured
τ²-Bench Telecom88.6%86.3%Claude Opus 4.7
APEX-Agents49.2%58.2%GPT-5.6 Terra
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
BALROGNot measured53.2%Only GPT-5.6 Terra measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937$7,343Claude Opus 4.7
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
MCP Atlas79.1%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index79
Reasoning benchmarks for Claude Opus 4.7 and GPT-5.6 Terra
BenchmarkClaude Opus 4.7GPT-5.6 TerraLeader
GPQA Diamond90.2%90.9%GPT-5.6 Terra
LiveBench reasoningNot measured90.6%Only GPT-5.6 Terra measured
MMMU Pro (Vals AI)85.5%86.5%GPT-5.6 Terra
GPQA Diamond (Artificial Analysis run)91.4%92.5%GPT-5.6 Terra
Humanity's Last Exam (Artificial Analysis run)42.3%42.9%GPT-5.6 Terra
GPQA Diamond (Epoch AI run)90.2%93.3%GPT-5.6 Terra
ARC-AGI93.5%96.5%GPT-5.6 Terra
ARC-AGI-275.8%83.9%GPT-5.6 Terra
SimpleBench61.7%48.9%Claude Opus 4.7
Chess puzzles41.0%47.0%GPT-5.6 Terra
Mystery game puzzles28.0%35.0%GPT-5.6 Terra
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061469Claude Opus 4.7
LMArena Text: expert15211496Claude Opus 4.7
LMArena Text: hard prompts in English15081465Claude Opus 4.7
LMArena Vision: diagrams13361295Claude Opus 4.7
LMArena Vision: homework13371312Claude Opus 4.7
Kagi LLM Benchmark80.7%51.3%Claude Opus 4.7
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Claude Opus 4.7 and GPT-5.6 Terra
BenchmarkClaude Opus 4.7GPT-5.6 TerraLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%99.7%GPT-5.6 Terra
FrontierMath, tiers 1 to 370.2%86.0%GPT-5.6 Terra
FrontierMath, tier 431.7%70.7%GPT-5.6 Terra
ProofBench54.0%74.0%GPT-5.6 Terra
LMArena Text: math14981466Claude Opus 4.7
LMArena Text: mathematical work15091478Claude Opus 4.7
MathArena20.4%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index102
Knowledge benchmarks for Claude Opus 4.7 and GPT-5.6 Terra
BenchmarkClaude Opus 4.7GPT-5.6 TerraLeader
MMLU Pro89.9%86.7%Claude Opus 4.7
LegalBench (Vals AI)85.3%85.1%Claude Opus 4.7
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%65.3%Claude Opus 4.7
TaxEval (Vals AI)75.3%76.2%GPT-5.6 Terra
MortgageTax (Vals AI)70.3%67.3%Claude Opus 4.7
MedCode (Vals AI)54.9%43.4%Claude Opus 4.7
SimpleQA Verified51.7%43.2%Claude Opus 4.7
LMArena Text: science15081452Claude Opus 4.7
LMArena Text: medicine and healthcare14961432Claude Opus 4.7
LMArena Text: legal and government15041462Claude Opus 4.7
LMArena Text: business and finance14901448Claude Opus 4.7
FACTS Benchmark Suite45.5%52.0%GPT-5.6 Terra
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Opus 4.7 and GPT-5.6 Terra
BenchmarkClaude Opus 4.7GPT-5.6 TerraLeader
Design Arena: websitesNot measured1268Only GPT-5.6 Terra measured
Design Arena: UI componentsNot measured1256Only GPT-5.6 Terra measured
Design Arena: game devNot measured1229Only GPT-5.6 Terra measured
Design Arena: data vizNot measured1240Only GPT-5.6 Terra measured
Design Arena: 3DNot measured1135Only GPT-5.6 Terra measured
Design Arena: all code categoriesNot measured1241Only GPT-5.6 Terra measured
Design Arena: SVGNot measured1219Only GPT-5.6 Terra measured
Design Arena: ASCII artNot measured1178Only GPT-5.6 Terra measured
LiveBench designNot measured76.0%Only GPT-5.6 Terra measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index294
General benchmarks for Claude Opus 4.7 and GPT-5.6 Terra
BenchmarkClaude Opus 4.7GPT-5.6 TerraLeader
LiveBench data analysisNot measured79.3%Only GPT-5.6 Terra measured
Public Benefits Bench (Vals AI)Not measured62.4%Only GPT-5.6 Terra measured
SAGE (Vals AI)56.1%47.0%Claude Opus 4.7
MedScribe (Vals AI)83.0%82.9%Claude Opus 4.7
Vals Multimodal Index67.4%65.1%Claude Opus 4.7
IFBench58.6%71.2%GPT-5.6 Terra
Long context reasoning (AA-LCR)78.7%83.0%GPT-5.6 Terra
DTBench94.7%93.3%Claude Opus 4.7
LMCA52.2%54.9%GPT-5.6 Terra
Surface Evolver BenchNot measured83.8%Only GPT-5.6 Terra measured
Furniture assembly33.3%54.2%GPT-5.6 Terra
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901448Claude Opus 4.7
LMArena Text: instruction following14981455Claude Opus 4.7
LMArena Text: creative writing14861413Claude Opus 4.7
LMArena Vision13171271Claude Opus 4.7
LMArena Text: English14961449Claude Opus 4.7
LMArena Text: non-English14801441Claude Opus 4.7
LMArena Text: Chinese15311514Claude Opus 4.7
LMArena Text: German14951461Claude Opus 4.7
LMArena Text: Japanese14741453Claude Opus 4.7
LMArena Text: Korean14631423Claude Opus 4.7
LMArena Text: French15031466Claude Opus 4.7
LMArena Text: Spanish14941448Claude Opus 4.7
LMArena Text: Russian14941453Claude Opus 4.7
LMArena Text: Polish14891447Claude Opus 4.7
LMArena Text: multi-turn15051453Claude Opus 4.7
LMArena Text: longer queries15051453Claude Opus 4.7
LMArena Text: writing and language14921432Claude Opus 4.7
LMArena Text: entertainment and media14741419Claude Opus 4.7
LMArena Vision: English13221272Claude Opus 4.7
LMArena Vision: Chinese13711337Claude Opus 4.7
LMArena Vision: reading text13271278Claude Opus 4.7
LMArena Vision: humor13091236Claude Opus 4.7
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing13261248Claude Opus 4.7
LMArena Document14951472Claude Opus 4.7
EQ-Bench 413111234Claude Opus 4.7
Neither model has a result on the other 10 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-5.6 Terra
BenchmarkClaude Opus 4.7GPT-5.6 TerraLeader
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-5.6 Terra$0.0080Fits in one request

GPT-5.6 Terra costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
GPT-5.6 Terra$0.136Fits in one request

GPT-5.6 Terra costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
GPT-5.6 Terra$0.520Fits in one request

GPT-5.6 Terra 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-5.6 Terra
SpecificationAnthropic Claude Opus 4.7OpenAI GPT-5.6 Terra
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026July 9, 2026
Context window1M1.05M
Input $/Mtok$5.00$2.00
Output $/Mtok$25.00$12.00
Coding index67.563.9
Independent measurements behind it46
Cost per solved task$2.95$0.42
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than GPT-5.6 Terra for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 63.9 for GPT-5.6 Terra, though on 4 benchmarks against 6. Pick GPT-5.6 Terra for output tokens 2.1x cheaper ($12.00 vs $25.00 per million) and a lower cost per solved task ($0.42 against $2.95).

Which is cheaper, Claude Opus 4.7 or GPT-5.6 Terra?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.6 Terra costs $2.00 and $12.00. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and GPT-5.6 Terra $0.42.

Which has the bigger context window, Claude Opus 4.7 or GPT-5.6 Terra?

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

How many benchmarks is the Claude Opus 4.7 vs GPT-5.6 Terra comparison based on?

93 benchmarks have a result for both models as of October 23, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and GPT-5.6 Terra's on 6. Where only one model has a result, the page says so instead of naming a winner.

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