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Claude Opus 4.8 vs DeepSeek V3.1 Terminus

Claude Opus 4.8 leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 41.8 to 14.8, and DeepSeek V3.1 Terminus costs 24.6x less per output token ($1.0142 vs $25.00 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace DeepSeek V3.1 Terminus
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
39
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
1
vs boards won of 40 shared

Claude Opus 4.8 or DeepSeek V3.1 Terminus: which to pick

Only Claude Opus 4.8 has a coding score, 65.0 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 24.6x cheaper ($1.0142 vs $25.00 per million) and work measured by LMArena Text: medicine and healthcare, where it leads.

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BDeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
40
Claude Opus 4.8 only
90
DeepSeek V3.1 Terminus only
5
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, DeepSeek V3.1 Terminus not benchmarked.
Widest category
Agentic work, 46.2 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Claude Opus 4.8 94.4% against DeepSeek V3.1 Terminus 37.1%, 57.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against DeepSeek V3.1 Terminus $1.0142 per million output tokens, 24.6x apart.
Context window
Claude Opus 4.8 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 Opus 4.8BarsDeepSeek V3.1 TerminusTies
Coding50
Intelligence10
Agentic work20
Reasoning50
Math10
Knowledge31
Web design70
General150
All shared boards391
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Opus 4.8 and DeepSeek V3.1 Terminus
BenchmarkClaude Opus 4.8DeepSeek V3.1 TerminusLeader
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev1556Not measuredOnly Claude Opus 4.8 measured
AA Coding Index74.343.5Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%Not measuredOnly Claude Opus 4.8 measured
SWE-bench Verified (Vals AI)88.6%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%Not measuredOnly Claude Opus 4.8 measured
Code migration (Vals AI)47.3%Not measuredOnly Claude Opus 4.8 measured
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%Not measuredOnly Claude Opus 4.8 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Artificial Analysis run)Not measured79.8%Only DeepSeek V3.1 Terminus measured
SciCode54.4%38.0%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)58.3%31.8%Claude Opus 4.8
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%Not measuredOnly Claude Opus 4.8 measured
ALE-BenchNot measured745.2Only DeepSeek V3.1 Terminus measured
LMArena Text: coding14901425Claude Opus 4.8
LMArena Text: software and IT14881426Claude Opus 4.8
LMArena WebDev: React1557Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev: HTML1543Not measuredOnly Claude Opus 4.8 measured
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.8 and DeepSeek V3.1 Terminus
BenchmarkClaude Opus 4.8DeepSeek V3.1 TerminusLeader
AA Intelligence Index41.814.8Claude Opus 4.8
Epoch Capabilities Index159.0Not measuredOnly Claude Opus 4.8 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.8 and DeepSeek V3.1 Terminus
BenchmarkClaude Opus 4.8DeepSeek V3.1 TerminusLeader
AA Agentic Index41.96.8Claude Opus 4.8
Design Arena: agents building web apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building mobile apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1239Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1171Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1202Not measuredOnly Claude Opus 4.8 measured
Design Arena: spreadsheets1303Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Opus 4.8 measured
Tax Agent Bench (Vals AI)30.0%Not measuredOnly Claude Opus 4.8 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Claude Opus 4.8 measured
Excel Modeling Benchmark (Vals AI)69.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%37.1%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%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787Not measuredOnly Claude Opus 4.8 measured
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Opus 4.8 and DeepSeek V3.1 Terminus
BenchmarkClaude Opus 4.8DeepSeek V3.1 TerminusLeader
GPQA Diamond92.4%Not measuredOnly Claude Opus 4.8 measured
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%79.2%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%16.4%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI92.5%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI-272.1%Not measuredOnly Claude Opus 4.8 measured
SimpleBench64.8%Not measuredOnly Claude Opus 4.8 measured
Chess puzzles52.0%Not measuredOnly Claude Opus 4.8 measured
Mystery game puzzles36.0%Not measuredOnly Claude Opus 4.8 measured
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821426Claude Opus 4.8
LMArena Text: expert1503Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts in English14871432Claude Opus 4.8
LMArena Vision: diagrams1315Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.8 measured
Kagi LLM Benchmark88.8%57.4%Claude Opus 4.8
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Claude Opus 4.8 and DeepSeek V3.1 Terminus
BenchmarkClaude Opus 4.8DeepSeek V3.1 TerminusLeader
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 AIME98.3%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: math14861402Claude Opus 4.8
LMArena Text: mathematical work1497Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Claude Opus 4.8 and DeepSeek V3.1 Terminus
BenchmarkClaude Opus 4.8DeepSeek V3.1 TerminusLeader
MMLU Pro89.6%Not measuredOnly Claude Opus 4.8 measured
LegalBench (Vals AI)83.6%Not measuredOnly Claude Opus 4.8 measured
CorpFin (Vals AI)66.7%Not measuredOnly Claude Opus 4.8 measured
TaxEval (Vals AI)75.6%Not measuredOnly Claude Opus 4.8 measured
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%Not measuredOnly Claude Opus 4.8 measured
MMLU Pro (Artificial Analysis run)Not measured85.1%Only DeepSeek V3.1 Terminus measured
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science14771451Claude Opus 4.8
LMArena Text: medicine and healthcare14641468DeepSeek V3.1 Terminus
LMArena Text: legal and government14771457Claude Opus 4.8
LMArena Text: business and finance14581414Claude Opus 4.8
FACTS Benchmark Suite53.5%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Opus 4.8 and DeepSeek V3.1 Terminus
BenchmarkClaude Opus 4.8DeepSeek V3.1 TerminusLeader
Design Arena: websites12581187Claude Opus 4.8
Design Arena: UI components12551182Claude Opus 4.8
Design Arena: game dev12641131Claude Opus 4.8
Design Arena: data viz12401168Claude Opus 4.8
Design Arena: 3D12221141Claude Opus 4.8
Design Arena: all code categories12551175Claude Opus 4.8
Design Arena: SVG11951065Claude Opus 4.8
Design Arena: ASCII art1277Not measuredOnly Claude Opus 4.8 measured
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for Claude Opus 4.8 and DeepSeek V3.1 Terminus
BenchmarkClaude Opus 4.8DeepSeek V3.1 TerminusLeader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%Not measuredOnly Claude Opus 4.8 measured
MedScribe (Vals AI)85.8%Not measuredOnly Claude Opus 4.8 measured
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%57.0%Claude Opus 4.8
Long context reasoning (AA-LCR)77.7%69.3%Claude Opus 4.8
DTBench94.9%81.3%Claude Opus 4.8
LMCA57.5%28.6%Claude Opus 4.8
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text14611419Claude Opus 4.8
LMArena Text: instruction following14761404Claude Opus 4.8
LMArena Text: creative writing14541403Claude Opus 4.8
LMArena Vision1294Not measuredOnly Claude Opus 4.8 measured
LMArena Text: English14681429Claude Opus 4.8
LMArena Text: non-English14501408Claude Opus 4.8
LMArena Text: Chinese1506Not measuredOnly Claude Opus 4.8 measured
LMArena Text: German1472Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Japanese1442Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Korean1431Not measuredOnly Claude Opus 4.8 measured
LMArena Text: French1481Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Spanish1465Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Russian14741435Claude Opus 4.8
LMArena Text: Polish14591427Claude Opus 4.8
LMArena Text: multi-turn14761411Claude Opus 4.8
LMArena Text: longer queries14831422Claude Opus 4.8
LMArena Text: writing and language14611409Claude Opus 4.8
LMArena Text: entertainment and media14401391Claude Opus 4.8
LMArena Vision: English1293Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: Chinese1346Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: reading text1303Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: humor1282Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: creative writing1301Not measuredOnly Claude Opus 4.8 measured
LMArena Document1475Not measuredOnly Claude Opus 4.8 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 Opus 4.8 and DeepSeek V3.1 Terminus
BenchmarkClaude Opus 4.8DeepSeek 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 Opus 4.8$0.018Fits 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 Opus 4.8$0.325Fits 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 Opus 4.8$1.25Fits 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 Opus 4.8 and DeepSeek V3.1 Terminus
SpecificationAnthropic Claude Opus 4.8DeepSeek V3.1 Terminus
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026September 22, 2025
Context window1M164K
Input $/Mtok$5.00$0.3063
Output $/Mtok$25.00$1.0142
Coding index65.0Not benchmarked
Independent measurements behind it60
Cost per solved task$2.17Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than DeepSeek V3.1 Terminus for coding?

Only Claude Opus 4.8 has a coding score, 65.0 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 24.6x cheaper ($1.0142 vs $25.00 per million) and work measured by LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, Claude Opus 4.8 or DeepSeek V3.1 Terminus?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; DeepSeek V3.1 Terminus costs $0.3063 and $1.0142. Cost per solved task is known for Claude Opus 4.8 only.

Which has the bigger context window, Claude Opus 4.8 or DeepSeek V3.1 Terminus?

Claude Opus 4.8, with 1M tokens against 164K.

How many benchmarks is the Claude Opus 4.8 vs DeepSeek V3.1 Terminus comparison based on?

40 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 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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