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Claude Sonnet 4.6 vs DeepSeek V3.1 Terminus

Claude Sonnet 4.6 leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 30.1 to 14.8, and DeepSeek V3.1 Terminus costs 14.8x less per output token ($1.0142 vs $15.00 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace DeepSeek V3.1 Terminus
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
37
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
2
vs boards won of 39 shared

Claude Sonnet 4.6 or DeepSeek V3.1 Terminus: which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding.

Pick DeepSeek V3.1 Terminus for output tokens 14.8x cheaper ($1.0142 vs $15.00 per million) and work measured by LMArena Text: medicine and healthcare or IFBench, where it leads.

Model AClaude Sonnet 4.6Anthropic57.3/1005 independent benchmarks$1.68 per solved taskModel BDeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
39
Claude Sonnet 4.6 only
79
DeepSeek V3.1 Terminus only
6
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 4.6 57.3 from 5 benchmarks, DeepSeek V3.1 Terminus not benchmarked.
Widest category
Agentic work, 33.7 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Claude Sonnet 4.6 79.5% against DeepSeek V3.1 Terminus 37.1%, 42.4 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against DeepSeek V3.1 Terminus $1.0142 per million output tokens, 14.8x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, DeepSeek V3.1 Terminus 164K.

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 4.6BarsDeepSeek V3.1 TerminusTies
Coding50
Intelligence10
Agentic work20
Reasoning40
Math10
Knowledge31
Web design70
General141
All shared boards372
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Sonnet 4.6 and DeepSeek V3.1 Terminus
BenchmarkClaude Sonnet 4.6DeepSeek V3.1 TerminusLeader
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev1523Not measuredOnly Claude Sonnet 4.6 measured
AA Coding Index63.043.5Claude Sonnet 4.6
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Vibe Code Bench (Vals AI)55.8%Not measuredOnly Claude Sonnet 4.6 measured
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured79.8%Only DeepSeek V3.1 Terminus measured
SciCode50.1%38.0%Claude Sonnet 4.6
Terminal-Bench Hard (Artificial Analysis run)53.0%31.8%Claude Sonnet 4.6
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
ALE-BenchNot measured745.2Only DeepSeek V3.1 Terminus measured
LMArena Text: coding15031425Claude Sonnet 4.6
LMArena Text: software and IT14911426Claude Sonnet 4.6
LMArena WebDev: React1512Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: HTML1527Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 4.6 and DeepSeek V3.1 Terminus
BenchmarkClaude Sonnet 4.6DeepSeek V3.1 TerminusLeader
AA Intelligence Index30.114.8Claude Sonnet 4.6
Epoch Capabilities Index152.8Not measuredOnly Claude Sonnet 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Sonnet 4.6 and DeepSeek V3.1 Terminus
BenchmarkClaude Sonnet 4.6DeepSeek V3.1 TerminusLeader
AA Agentic Index31.86.8Claude Sonnet 4.6
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1212Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%Not measuredOnly Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%37.1%Claude Sonnet 4.6
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Sonnet 4.6 and DeepSeek V3.1 Terminus
BenchmarkClaude Sonnet 4.6DeepSeek V3.1 TerminusLeader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%79.2%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%16.4%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851426Claude Sonnet 4.6
LMArena Text: expert1500Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts in English14931432Claude Sonnet 4.6
LMArena Vision: diagrams1306Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Kagi LLM BenchmarkNot measured57.4%Only DeepSeek V3.1 Terminus measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Claude Sonnet 4.6 and DeepSeek V3.1 Terminus
BenchmarkClaude Sonnet 4.6DeepSeek V3.1 TerminusLeader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
AA Math IndexNot measured89.7Only DeepSeek V3.1 Terminus measured
AIME 2025 (Artificial Analysis run)Not measured89.7%Only DeepSeek V3.1 Terminus measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621402Claude Sonnet 4.6
LMArena Text: mathematical work1483Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Claude Sonnet 4.6 and DeepSeek V3.1 Terminus
BenchmarkClaude Sonnet 4.6DeepSeek V3.1 TerminusLeader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MMLU Pro (Artificial Analysis run)Not measured85.1%Only DeepSeek V3.1 Terminus measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741451Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511468DeepSeek V3.1 Terminus
LMArena Text: legal and government14701457Claude Sonnet 4.6
LMArena Text: business and finance14641414Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Sonnet 4.6 and DeepSeek V3.1 Terminus
BenchmarkClaude Sonnet 4.6DeepSeek V3.1 TerminusLeader
Design Arena: websites12841187Claude Sonnet 4.6
Design Arena: UI components12691182Claude Sonnet 4.6
Design Arena: game dev12581131Claude Sonnet 4.6
Design Arena: data viz12781168Claude Sonnet 4.6
Design Arena: 3D12341141Claude Sonnet 4.6
Design Arena: all code categories12751175Claude Sonnet 4.6
Design Arena: SVG11961065Claude Sonnet 4.6
Design Arena: ASCII art1235Not measuredOnly Claude Sonnet 4.6 measured
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index141
General benchmarks for Claude Sonnet 4.6 and DeepSeek V3.1 Terminus
BenchmarkClaude Sonnet 4.6DeepSeek V3.1 TerminusLeader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%57.0%DeepSeek V3.1 Terminus
Long context reasoning (AA-LCR)80.0%69.3%Claude Sonnet 4.6
DTBench89.9%81.3%Claude Sonnet 4.6
LMCA46.5%28.6%Claude Sonnet 4.6
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581419Claude Sonnet 4.6
LMArena Text: instruction following14761404Claude Sonnet 4.6
LMArena Text: creative writing14351403Claude Sonnet 4.6
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English14721429Claude Sonnet 4.6
LMArena Text: non-English14401408Claude Sonnet 4.6
LMArena Text: Chinese1491Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: German1428Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Japanese1420Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Korean1410Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: French1465Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Spanish1464Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Russian14401435Claude Sonnet 4.6
LMArena Text: Polish14431427Claude Sonnet 4.6
LMArena Text: multi-turn14641411Claude Sonnet 4.6
LMArena Text: longer queries14791422Claude Sonnet 4.6
LMArena Text: writing and language14441409Claude Sonnet 4.6
LMArena Text: entertainment and media14311391Claude Sonnet 4.6
LMArena Vision: English1298Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text1296Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing1272Not measuredOnly Claude Sonnet 4.6 measured
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.6 and DeepSeek V3.1 Terminus
BenchmarkClaude Sonnet 4.6DeepSeek V3.1 TerminusLeader
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 4.6$0.011Fits in one request
DeepSeek V3.1 Terminus$0.0008Fits in one request

DeepSeek V3.1 Terminus costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
DeepSeek V3.1 Terminus$0.018Fits in one request

DeepSeek V3.1 Terminus costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
DeepSeek V3.1 Terminus$0.071Exceeds the context window

DeepSeek V3.1 Terminus 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 4.6 and DeepSeek V3.1 Terminus
SpecificationAnthropic Claude Sonnet 4.6DeepSeek V3.1 Terminus
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026September 22, 2025
Context window1M164K
Input $/Mtok$3.00$0.3063
Output $/Mtok$15.00$1.0142
Coding index57.3Not benchmarked
Independent measurements behind it50
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than DeepSeek V3.1 Terminus for coding?

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for output tokens 14.8x cheaper ($1.0142 vs $15.00 per million) and work measured by LMArena Text: medicine and healthcare or IFBench, where it leads.

Which is cheaper, Claude Sonnet 4.6 or DeepSeek V3.1 Terminus?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; DeepSeek V3.1 Terminus costs $0.3063 and $1.0142. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Claude Sonnet 4.6 or DeepSeek V3.1 Terminus?

Claude Sonnet 4.6, with 1M tokens against 164K.

How many benchmarks is the Claude Sonnet 4.6 vs DeepSeek V3.1 Terminus comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6's coding index rests on 5 independent benchmarks and DeepSeek V3.1 Terminus's on 0. Where only one model has a result, the page says so instead of naming a winner.

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