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Claude Sonnet 5 vs GPT-6 Astra

GPT-6 Astra leads Claude Sonnet 5 on coding, 85.1 to 57.7 on the Vibe Coding Index, and Claude Sonnet 5 costs 5.0x less per output token ($10.00 vs $50.00 per million). Updated October 22, 2026; 102 benchmarks have a result for both.

Replace Claude Sonnet 5 Replace GPT-6 Astra
Claude Sonnet 5Anthropic
Coding
57.7
Overall
63.2
Output $/M
$10.00
18
GPT-6 AstraOpenAI
Coding
85.1
Overall
83.0
Output $/M
$50.00
83
vs boards won of 102 shared, 1 tied

Claude Sonnet 5 or GPT-6 Astra: which to pick

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 57.7 for Claude Sonnet 5, though on 5 benchmarks against 6.

Pick Claude Sonnet 5 for output tokens 5.0x cheaper ($10.00 vs $50.00 per million) and work measured by CyberBench (Vals AI) or Finance Agent (Vals AI), where it leads.

Model AClaude Sonnet 5Anthropic57.7/1006 independent benchmarks$1.87 per solved taskModel BGPT-6 AstraOpenAI85.1/1005 independent benchmarksNo cost per solved task
Shared results
102
Claude Sonnet 5 only
19
GPT-6 Astra 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 Sonnet 5 57.7 from 6 benchmarks, GPT-6 Astra 85.1 from 5 benchmarks.
Widest category
Math, 20.7 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Sonnet 5 29.3% against GPT-6 Astra 97.6%, 68.3 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5 $10.00 against GPT-6 Astra $50.00 per million output tokens, 5.0x apart.
Context window
Claude Sonnet 5 takes 1M tokens, GPT-6 Astra 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 Sonnet 5BarsGPT-6 AstraTies
Coding121
Intelligence02
Agentic work315
Reasoning011
Math15
Knowledge24
Web design081 tie
General1117
All shared boards18831 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index121
Coding benchmarks for Claude Sonnet 5 and GPT-6 Astra
BenchmarkClaude Sonnet 5GPT-6 AstraLeader
LiveBench coding74.7%93.7%GPT-6 Astra
LMArena WebDev15401774GPT-6 Astra
AA Coding Index71.576.9GPT-6 Astra
LiveCodeBench (Vals AI)82.4%Not measuredOnly Claude Sonnet 5 measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench 4 (Vals AI)10.6%59.6%GPT-6 Astra
Vibe Code Bench (Vals AI)81.3%89.6%GPT-6 Astra
Code migration (Vals AI)44.4%67.7%GPT-6 Astra
ProgramBench (Vals AI)0.0%5.5%GPT-6 Astra
IOI (Vals AI)45.0%100.0%GPT-6 Astra
Terminal-Bench 2.1 (Vals AI)74.5%87.3%GPT-6 Astra
SWE-bench Multimodal (Vals AI)Not measured43.3%Only GPT-6 Astra measured
Vibe Code Bench 1-100 (Vals AI)13.8%27.6%GPT-6 Astra
SkillsBench (Vals AI)46.5%Not measuredOnly Claude Sonnet 5 measured
CyberBench (Vals AI)70.3%41.1%Claude Sonnet 5
SciCode54.3%56.5%GPT-6 Astra
FrontierCode42.7%53.3%GPT-6 Astra
FrontierSWENot measured65.5%Only GPT-6 Astra measured
GSO-Bench37.3%79.4%GPT-6 Astra
WeirdML68.8%93.3%GPT-6 Astra
MirrorCodeNot measured46.7%Only GPT-6 Astra measured
ALE-Bench1463.12951.3GPT-6 Astra
LMArena Text: coding14831489GPT-6 Astra
LMArena Text: software and IT14741474GPT-6 Astra
LMArena WebDev: React15411798GPT-6 Astra
LMArena WebDev: HTML15271775GPT-6 Astra
LMArena WebDev: from an image15401726GPT-6 Astra
SciCode10.7%12.3%GPT-6 Astra
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 Sonnet 5 and GPT-6 Astra
BenchmarkClaude Sonnet 5GPT-6 AstraLeader
AA Intelligence Index38.252.7GPT-6 Astra
Epoch Capabilities Index156.9168.8GPT-6 Astra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index315
Agentic work benchmarks for Claude Sonnet 5 and GPT-6 Astra
BenchmarkClaude Sonnet 5GPT-6 AstraLeader
AA Agentic Index43.651.0GPT-6 Astra
Design Arena: agents building web apps12451373GPT-6 Astra
Design Arena: agents building full-stack apps12491357GPT-6 Astra
Design Arena: agents building mobile apps12151312GPT-6 Astra
Design Arena: agents building Android apps1227Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building Godot games12251348GPT-6 Astra
Design Arena: agents building games1227Not measuredOnly Claude Sonnet 5 measured
Design Arena: HTML slides1168Not measuredOnly Claude Sonnet 5 measured
Design Arena: PowerPoint slides11911219GPT-6 Astra
Design Arena: spreadsheets10351365GPT-6 Astra
LiveBench research82.8%85.2%GPT-6 Astra
LiveBench browser72.0%84.0%GPT-6 Astra
LiveBench long agentic39.0%82.4%GPT-6 Astra
SREBench (Vals AI)0.4%56.9%GPT-6 Astra
Finance Agent (Vals AI)53.9%53.5%Claude Sonnet 5
Tax Agent Bench (Vals AI)29.4%20.7%Claude Sonnet 5
Legal Research Bench (Vals AI)41.8%39.4%Claude Sonnet 5
Harvey's Legal Agent Benchmark (Vals AI)Not measured7.1%Only GPT-6 Astra measured
Excel Modeling Benchmark (Vals AI)66.3%71.7%GPT-6 Astra
BioMysteryBench (Vals AI)Not measured79.3%Only GPT-6 Astra measured
Terminal-Bench-Science (Vals AI)5.7%62.9%GPT-6 Astra
Vals Science IndexNot measured65.1%Only GPT-6 Astra measured
Time Horizon Index (Vals AI)Not measured90.5%Only GPT-6 Astra measured
CUA-bench (Vals AI)Not measured19.2%Only GPT-6 Astra measured
Robo-bench (Vals AI)Not measured23.3%Only GPT-6 Astra measured
APEX-Agents54.5%64.7%GPT-6 Astra
Remote Labor IndexNot measured20.8%Only GPT-6 Astra measured
BALROGNot measured68.3%Only GPT-6 Astra measured
SpireClimbNot measured25.7%Only GPT-6 Astra measured
Vending-Bench 2$6,378$15,515GPT-6 Astra
Neither model has a result on the other 11 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index011
Reasoning benchmarks for Claude Sonnet 5 and GPT-6 Astra
BenchmarkClaude Sonnet 5GPT-6 AstraLeader
GPQA Diamond88.9%Not measuredOnly Claude Sonnet 5 measured
LiveBench reasoning88.7%92.7%GPT-6 Astra
MysteryMechanism (Vals AI)Not measured53.1%Only GPT-6 Astra measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Sonnet 5 measured
GPQA Diamond (Artificial Analysis run)91.1%96.3%GPT-6 Astra
Humanity's Last Exam (Artificial Analysis run)41.3%54.7%GPT-6 Astra
GPQA Diamond (Epoch AI run)90.5%95.8%GPT-6 Astra
ARC-AGINot measured98.5%Only GPT-6 Astra measured
ARC-AGI-2Not measured95.0%Only GPT-6 Astra measured
SimpleBench60.6%Not measuredOnly Claude Sonnet 5 measured
Chess puzzles45.0%74.0%GPT-6 Astra
Mystery game puzzles35.0%84.0%GPT-6 Astra
EBR-benchNot measured76.2%Only GPT-6 Astra measured
LMArena Text: hard prompts14611463GPT-6 Astra
LMArena Text: expert14891489GPT-6 Astra
LMArena Text: hard prompts in English14641464GPT-6 Astra
LMArena Vision: diagrams12931297GPT-6 Astra
LMArena Vision: homework13111337GPT-6 Astra
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for Claude Sonnet 5 and GPT-6 Astra
BenchmarkClaude Sonnet 5GPT-6 AstraLeader
OTIS Mock AIME94.7%100.0%GPT-6 Astra
FrontierMath, tiers 1 to 365.6%93.7%GPT-6 Astra
FrontierMath, tier 429.3%97.6%GPT-6 Astra
ProofBench77.0%99.0%GPT-6 Astra
LMArena Text: math14671465Claude Sonnet 5
LMArena Text: mathematical work14811484GPT-6 Astra
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
Knowledge benchmarks for Claude Sonnet 5 and GPT-6 Astra
BenchmarkClaude Sonnet 5GPT-6 AstraLeader
MMLU Pro87.5%Not measuredOnly Claude Sonnet 5 measured
LegalBench (Vals AI)83.9%Not measuredOnly Claude Sonnet 5 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Sonnet 5 measured
TaxEval (Vals AI)75.6%Not measuredOnly Claude Sonnet 5 measured
MortgageTax (Vals AI)70.0%Not measuredOnly Claude Sonnet 5 measured
MedCode (Vals AI)47.5%48.5%GPT-6 Astra
SimpleQA Verified33.7%75.6%GPT-6 Astra
LMArena Text: science14601451Claude Sonnet 5
LMArena Text: medicine and healthcare14421425Claude Sonnet 5
LMArena Text: legal and government14541462GPT-6 Astra
LMArena Text: business and finance14361439GPT-6 Astra
FACTS Benchmark SuiteNot measured75.7%Only GPT-6 Astra measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Sonnet 5 and GPT-6 Astra
BenchmarkClaude Sonnet 5GPT-6 AstraLeader
Design Arena: websites12741336GPT-6 Astra
Design Arena: UI components12771393GPT-6 Astra
Design Arena: game dev12771478GPT-6 Astra
Design Arena: data viz12511335GPT-6 Astra
Design Arena: 3D12611500GPT-6 Astra
Design Arena: all code categories12751379GPT-6 Astra
Design Arena: SVG11921431GPT-6 Astra
Design Arena: ASCII art12071353GPT-6 Astra
LiveBench design82.0%82.0%Tie
GeneralLike-for-likePublic boards, shown as published, kept out of the index1117
General benchmarks for Claude Sonnet 5 and GPT-6 Astra
BenchmarkClaude Sonnet 5GPT-6 AstraLeader
Vals IndexNot measured65.0%Only GPT-6 Astra measured
LiveBench data analysis71.7%83.0%GPT-6 Astra
Public Benefits Bench (Vals AI)66.0%Not measuredOnly Claude Sonnet 5 measured
SAGE (Vals AI)48.9%46.4%Claude Sonnet 5
MedScribe (Vals AI)76.0%87.9%GPT-6 Astra
Vals Multimodal Index68.8%Not measuredOnly Claude Sonnet 5 measured
Long context reasoning (AA-LCR)82.0%80.7%Claude Sonnet 5
DTBench92.5%97.3%GPT-6 Astra
LMCA50.0%64.4%GPT-6 Astra
Surface Evolver Bench60.0%Not measuredOnly Claude Sonnet 5 measured
Furniture assemblyNot measured80.0%Only GPT-6 Astra measured
LMArena Text14421441Claude Sonnet 5
LMArena Text: instruction following14521455GPT-6 Astra
LMArena Text: creative writing14161420GPT-6 Astra
LMArena Vision12731280GPT-6 Astra
LMArena Text: English14501447Claude Sonnet 5
LMArena Text: non-English14311432GPT-6 Astra
LMArena Text: Chinese14781489GPT-6 Astra
LMArena Text: German14421459GPT-6 Astra
LMArena Text: Japanese14221405Claude Sonnet 5
LMArena Text: Korean14121428GPT-6 Astra
LMArena Text: French14631432Claude Sonnet 5
LMArena Text: Spanish14381422Claude Sonnet 5
LMArena Text: Russian14501438Claude Sonnet 5
LMArena Text: Polish14251422Claude Sonnet 5
LMArena Text: multi-turn14531447Claude Sonnet 5
LMArena Text: longer queries14621460Claude Sonnet 5
LMArena Text: writing and language14361437GPT-6 Astra
LMArena Text: entertainment and media14111427GPT-6 Astra
LMArena Vision: English12751280GPT-6 Astra
LMArena Vision: Chinese13311361GPT-6 Astra
LMArena Vision: reading text12881292GPT-6 Astra
LMArena Vision: humor1261Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: creative writing12461286GPT-6 Astra
LMArena Document1466Not measuredOnly Claude Sonnet 5 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 Sonnet 5 and GPT-6 Astra
BenchmarkClaude Sonnet 5GPT-6 AstraLeader
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 Sonnet 5$0.0070Fits in one request
GPT-6 Astra$0.035Fits in one request

Claude Sonnet 5 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5$0.130Fits in one request
GPT-6 Astra$0.650Fits in one request

Claude Sonnet 5 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5$0.500Fits in one request
GPT-6 Astra$2.50Fits in one request

Claude Sonnet 5 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 Sonnet 5 and GPT-6 Astra
SpecificationAnthropic Claude Sonnet 5OpenAI GPT-6 Astra
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 30, 2026September 4, 2026
Context window1M1.05M
Input $/Mtok$2.00$10.00
Output $/Mtok$10.00$50.00
Coding index57.785.1
Independent measurements behind it65
Cost per solved task$1.87Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5 better than GPT-6 Astra for coding?

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 57.7 for Claude Sonnet 5, though on 5 benchmarks against 6. Pick Claude Sonnet 5 for output tokens 5.0x cheaper ($10.00 vs $50.00 per million) and work measured by CyberBench (Vals AI) or Finance Agent (Vals AI), where it leads.

Which is cheaper, Claude Sonnet 5 or GPT-6 Astra?

Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-6 Astra costs $10.00 and $50.00. Cost per solved task is known for Claude Sonnet 5 only.

Which has the bigger context window, Claude Sonnet 5 or GPT-6 Astra?

GPT-6 Astra, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 5 vs GPT-6 Astra comparison based on?

102 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5's coding index rests on 6 independent benchmarks and GPT-6 Astra's on 5. Where only one model has a result, the page says so instead of naming a winner.

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