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Head-to-head comparison

Claude Sonnet 5 vs. DeepSeek-V4-Pro

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series
213
distinct benchmarks
22
latest retrieval
2026-09-04

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Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for Claude Sonnet 5 and DeepSeek-V4-Pro
AttributeClaude Sonnet 5DeepSeek-V4-Pro
ProviderAnthropicDeepSeek
ReleasedJun 30, 2026Apr 24, 2026
AvailabilityActivePreview
Model typeProprietaryOpen Weights
ParametersNot published1.6T, 49B active
ArchitectureNot publishedMixture of Experts
Context window1,000,000 tokens1,000,000 tokens
Knowledge cutoffJanuary 2026Not published
Technical sourcesModel, ContextModel, Context

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for Claude Sonnet 5 and DeepSeek-V4-Pro
Price typeClaude Sonnet 5DeepSeek-V4-Pro
API input$2$0.66
API output$10$1.98
Cache read$0.2$0.02
Cache write (5 min.)$2.5Not listed
Cache write (1 hr.)$4Not listed
Price verified09/02/2026 Source09/08/2026 Source
Claude Sonnet 5DeepSeek-V4-Pro
API inputUSD per 1M tokens, base tier
Claude Sonnet 5$2
DeepSeek-V4-ProLower price$0.66
API outputUSD per 1M tokens, base tier
Claude Sonnet 5$10
DeepSeek-V4-ProLower price$1.98
Cache readUSD per 1M tokens, base tier
Claude Sonnet 5$0.2
DeepSeek-V4-ProLower price$0.022

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

Provider pricing for Claude Sonnet 5 and DeepSeek-V4-Pro
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Claude Sonnet 5AnthropicDirect from developerStandard APILowest listed price: $2Lowest listed price: $10Source09/02/2026
Amazon BedrockVia OpenRouteramazon-bedrock/eu-west-1$2.2$11Source09/12/2026
Amazon BedrockVia OpenRouteramazon-bedrock/globalLowest listed price: $2Lowest listed price: $10Source09/12/2026
Amazon BedrockVia OpenRouteramazon-bedrock/us-east-1$2.2$11Source09/12/2026
AnthropicVia OpenRouteranthropicLowest listed price: $2Lowest listed price: $10Source09/12/2026
AzureVia OpenRouterazure/globalLowest listed price: $2Lowest listed price: $10Source09/12/2026
AzureVia OpenRouterazure/usLowest listed price: $2Lowest listed price: $10Source09/12/2026
Claude Platform on AWSVia OpenRouterclaude-on-awsLowest listed price: $2Lowest listed price: $10Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/europe$2.2$11Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/globalLowest listed price: $2Lowest listed price: $10Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/us$2.2$11Source09/12/2026
DeepSeek-V4-ProDeepSeekDirect from developerStandard API$0.66$1.98Source09/08/2026
AlibabaVia OpenRouteralibaba$1.122$3.366Source09/12/2026
BaiduVia OpenRouterbaidu/fp8Lowest listed price: $0.5782Lowest listed price: $1.7345Source09/12/2026
BaseTenVia OpenRouterbaseten/fp4#1$1.32$3.96Source09/12/2026
BaseTenVia OpenRouterbaseten/fp4#2$1.32$3.96Source09/12/2026
CloudflareVia OpenRoutercloudflare$1.32$3.96Source09/12/2026
CoreWeaveVia OpenRoutercoreweave/fp8$1.31$3.96Source09/12/2026
DeepInfraVia OpenRouterdeepinfra/fp8$1.3$2.6Source09/12/2026
DeepSeekVia OpenRouterdeepseek$0.66$1.98Source09/12/2026
DigitalOceanVia OpenRouterdigitalocean$1.32$3.96Source09/12/2026
FireworksVia OpenRouterfireworks$1.32$3.96Source09/12/2026
GMICloudVia OpenRoutergmicloud/fp8$1.056$3.168Source09/12/2026
IonstreamVia OpenRouterionstream$0.88$2.64Source09/12/2026
NextBitVia OpenRouternextbit/fp8$1.122$3.366Source09/12/2026
NovitaVia OpenRouternovita/fp8$0.99$2.97Source09/12/2026
ParasailVia OpenRouterparasail/fp8$1.32$3.96Source09/12/2026
PhalaVia OpenRouterphala$1.45$4.36Source09/12/2026
Sail ResearchVia OpenRoutersail-research/fp4$1.32$3.96Source09/12/2026
SiliconFlowVia OpenRoutersiliconflow/fp8$1.32$3.96Source09/12/2026
StreamLakeVia OpenRouterstreamlake$1.0547$3.164Source09/12/2026
TogetherVia OpenRoutertogether$1.32$3.96Source09/12/2026
VeniceVia OpenRoutervenice$1.65$4.95Source09/12/2026

Performance

Shared benchmarks

Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

255075100CodingReasoningMathematicsKnowledgeFinanceLegalAgentic tasksProductivity
Claude Sonnet 5
DeepSeek-V4-Pro
Coding: 99 / 85.9 (6 benchmark families)
Reasoning: 99.7 / 99.3 (2 benchmark families)
Mathematics: 100 / 60 (2 benchmark families)
Knowledge: 100 / 99.3 (2 benchmark families)
Finance: 100 / 89.1 (5 benchmark families)
Legal: 100 / 81.3 (4 benchmark families)
Agentic tasks: 95.3 / 83.7 (2 benchmark families)
Productivity: 100 / 95.3 (1 benchmark family)

51 matched rows from 22 benchmark families were considered. The radar shows 8 of 11 comparable categories.

Claude Sonnet 5DeepSeek-V4-Pro
Code MigrationOverall. Higher is better. No documented setup difference
Claude Sonnet 5Winner44.392 %
DeepSeek-V4-Pro26.201 %
CorpFin v2Overall. Higher is better. No documented setup difference
Claude Sonnet 5Winner66.977 %
DeepSeek-V4-Pro61.383 %
EMBOverall. Higher is better. No documented setup difference
Claude Sonnet 5Winner66.316 %
DeepSeek-V4-Pro51.623 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
Claude Sonnet 5Winner53.909 %
DeepSeek-V4-Pro44.083 %
GPQA DiamondOverall. Higher is better. No documented setup difference
Claude Sonnet 588.889 %
DeepSeek-V4-ProWinner89.394 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
Claude Sonnet 5Winner5 %
DeepSeek-V4-Pro3.75 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
Claude Sonnet 5Winner41.827 %
DeepSeek-V4-Pro23.077 %
LegalBenchOverall. Higher is better. No documented setup difference
Claude Sonnet 5Winner83.922 %
DeepSeek-V4-Pro80.323 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
Claude Sonnet 582.429 %
DeepSeek-V4-ProWinner87.484 %
LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
Claude Sonnet 5Higher measured value1,462.16
DeepSeek-V4-Pro1,457.748
MedCodeOverall. Higher is better. No documented setup difference
Claude Sonnet 5Winner47.54 %
DeepSeek-V4-Pro40.455 %
MedScribeOverall. Higher is better. No documented setup difference
Claude Sonnet 5Winner76.054 %
DeepSeek-V4-Pro75.144 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Sonnet 5 and DeepSeek-V4-Pro
Benchmark and taskClaude Sonnet 5DeepSeek-V4-ProSource
Code MigrationOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner44.392 %
26.201 %
Vals AI
Source details
Data as of: 09/03/2026
CorpFin v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner66.977 %
61.383 %
Vals AI
Source details
Data as of: 08/12/2026
EMBOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner66.316 %
51.623 %
Vals AI
Source details
Data as of: 09/03/2026
Finance Agent (v2)Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner53.909 %
44.083 %
Vals AI
Source details
Data as of: 09/03/2026
GPQA DiamondOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
88.889 %
Winner89.394 %
Vals AI
Source details
Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved
Test details
No documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is better
Winner5 %
3.75 %
Vals AI
Source details
Data as of: 09/03/2026
Legal Research BenchOverall · All-pass
Test details
No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is better
Winner41.827 %
23.077 %
Vals AI
Source details
Data as of: 09/03/2026
LegalBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner83.922 %
80.323 %
Vals AI
Source details
Data as of: 09/01/2026
LiveCodeBench v6Overall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
82.429 %
Winner87.484 %
Vals AI
Source details
Data as of: 09/01/2026
LMArena Text, Style ControlOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena text, style control
DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro, Harness: Arena text, style control
Claude Sonnet 5: Style-controlled Arena rating from 31,096 anonymous pairwise votes.DeepSeek-V4-Pro: Style-controlled Arena rating from 54,243 anonymous pairwise votes.
Higher measured value1,462.16
95% confidence interval: ±4.745The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,457.748
95% confidence interval: ±4.009The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena
Source details
Data as of: 09/01/2026
MedCodeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner47.54 %
40.455 %
Vals AI
Source details
Data as of: 09/03/2026
MedScribeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner76.054 %
75.144 %
Vals AI
Source details
Data as of: 09/03/2026
MMLU-ProOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner87.545 %
87.249 %
Vals AI
Source details
Data as of: 09/01/2026
ProgramBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Tie0 %
Tie0 %
Vals AI
Source details
Data as of: 09/01/2026
ProofBenchOverall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better
Winner77 %
16 %
Vals AI
Source details
Data as of: 09/01/2026
Public Benefits Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better
Winner66.035 %
62.923 %
Vals AI
Source details
Data as of: 09/01/2026
SkillsBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands
46.476 %
Winner51.274 %
Vals AI
Source details
Data as of: 09/01/2026
SWE-bench VerifiedOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner79.6 %
77.4 %
Vals AI
Source details
Data as of: 09/01/2026
TaxEval v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner75.634 %
72.077 %
Vals AI
Source details
Data as of: 09/01/2026
Terminal-Bench 2.1Overall
Test details
No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better
Winner74.532 %
50.187 %
Vals AI
Source details
Data as of: 09/03/2026
Vals IndexOverall
Test details
No documented difference in the test setupVersion: 2Metric: weighted index scoreScoring: Higher is better
Winner59.61 %
42.888 %
Vals AI
Source details
Data as of: 09/03/2026
Vibe Code Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands
Winner81.325 %
49.931 %
Vals AI
Source details
Data as of: 09/03/2026
Code MigrationCLI
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value36.332 %
15.47 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Exact Pages
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens
Higher measured value63.869 %
59.207 %
Vals AI
Source details
Data as of: 08/06/2026
EMBComps
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value69.384 %
57.434 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Adjustments
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value48.715 %
41.586 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondFew-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens
87.374 %
Higher measured value90.404 %
Vals AI
Source details
Data as of: 08/09/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value88.768 %
83.696 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchAdministrative / Regulatory · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value54.545 %
28.788 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchConclusion Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens
Higher measured value89.555 %
89.117 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens
98.447 %
Higher measured value98.758 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlOverall
Test details
No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena text, style control
DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro-high-preview, Reasoning: high, Harness: Arena text, style control
Claude Sonnet 5: Style-controlled Arena rating from 31,096 anonymous pairwise votes.DeepSeek-V4-Pro: Style-controlled Arena rating from 51,599 anonymous pairwise votes.
No clear lead1,462.16
95% confidence interval: ±4.745The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,455.047
95% confidence interval: ±4.08The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBiology
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens
Higher measured value93.584 %
92.887 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchAlmost Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value13.5 %
0 %
Vals AI
Source details
Data as of: 08/09/2026
SkillsBenchNo Skills
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Harness: OpenHands, Output limit: 384,000 tokens
Higher measured value35.123 %
27.226 %
Vals AI
Source details
Data as of: 08/07/2026
SWE-bench Verified<15 min fix
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens
83.505 %
Higher measured value87.629 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Correctness
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens
Higher measured value64.023 %
60.589 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.1Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Output limit: 128,000 tokens
Higher measured value100 %
66.667 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexCorpFin v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens
Higher measured value67.949 %
61.888 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCOBOL
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value68.571 %
58.393 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Max Fitting Context
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens
Higher measured value69.114 %
63.054 %
Vals AI
Source details
Data as of: 08/06/2026
EMBDataroom
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value84.909 %
62.572 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)All-Pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value42.084 %
31.448 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondZero-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens
Higher measured value90.404 %
88.384 %
Vals AI
Source details
Data as of: 08/09/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value87.81 %
83.372 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchInterpretation Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens
Higher measured value81.412 %
75.169 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens
66.857 %
Higher measured value72.571 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlBusiness, management and finance
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena text, style control
DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro, Harness: Arena text, style control
Claude Sonnet 5: Style-controlled Arena rating from 6,214 anonymous pairwise votes.DeepSeek-V4-Pro: Style-controlled Arena rating from 10,742 anonymous pairwise votes.
Higher measured value1,462.981
95% confidence interval: ±8.229The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,461.034
95% confidence interval: ±6.908The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBusiness
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens
91.635 %
Higher measured value91.888 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchFully Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 08/09/2026
SkillsBenchWith Skills
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Harness: OpenHands, Output limit: 384,000 tokens
46.476 %
Higher measured value51.274 %
Vals AI
Source details
Data as of: 08/07/2026
SWE-bench Verified>4 hours
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens
Higher measured value66.667 %
0 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Stepwise Reasoning
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens
Higher measured value87.244 %
83.565 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.1Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Output limit: 128,000 tokens
Higher measured value57.778 %
31.111 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexFinance Agent v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value51.979 %
44.081 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCode Quality
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value4.898 / 5
3.401 / 5
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Shared Max Context
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens
Higher measured value67.949 %
61.888 %
Vals AI
Source details
Data as of: 08/06/2026
EMBDCF
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value56.404 %
44.435 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Comparables
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value45.817 %
39.632 %
Vals AI
Source details
Data as of: 08/06/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passed
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value87.455 %
83.512 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchBusiness & Commercial · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens
Higher measured value32.558 %
23.256 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchIssue Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens
Higher measured value88.24 %
84.587 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Medium
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens
81.984 %
Higher measured value91.123 %
Vals AI
Source details
Data as of: 08/09/2026

Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Community tests you can inspect

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Sonnet 5

Claude Sonnet 5: Pelican on a bicycle
A community classic for free-form SVG drawing.
First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
anthropic/claude-sonnet-5
API model reported in response
anthropic/claude-sonnet-5
Pinned endpoint
Anthropic | anthropic/claude-sonnet-5-20260630
Reasoning setting
high
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating
Response time
47.9 s

Visually reviewed. This individual test does not establish overall model quality.

DeepSeek-V4-Pro

API access was unavailable for this run. The model was not evaluated.

First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
deepseek/deepseek-v4-pro-0813
Pinned endpoint
DeepSeek | deepseek/deepseek-v4-pro-20260813
Reasoning setting
high
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Not run

Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.

The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.

Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.

More matchups

Compare Claude Sonnet 5 and DeepSeek-V4-Pro with other leading models using the same data and benchmark logic.

View the complete LLM comparison