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Anthropic Claude Opus 4.6 VS DeepSeek DeepSeek V3.1 Terminus

Claude Opus 4.6 vs DeepSeek V3.1 Terminus: which wins at real work?

22 task areas · same graded test runs · rank comparison only, so 0–100 and Elo collections never mix raw scores.

Claude Opus 4.6 wins 16 of 22 task areas we tested; DeepSeek V3.1 Terminus takes 6. DeepSeek V3.1 Terminus costs 24.6× less per token ($1.22 vs $30 per 1M).

16
Task areas won
6
74
Avg percentile
36
2
Top-3 finishes
0
$30.0
Price / 1M tokens
$1.22
Anthropic
Provider
DeepSeek

DeepSeek V3.1 Terminus costs 24.6× less per token ($1.22 vs $30 per 1M).

Task by task

Task area Claude Opus 4.6 DeepSeek V3.1 Terminus Winner
Translation & Localization #2 / 110
Excellent
#101 / 110
Strong
Claude Opus 4.6
AI Strategy #5 / 126
Strong
#101 / 126
Usable
Claude Opus 4.6
Sales #4 / 110
Strong
#97 / 110
Needs editing
Claude Opus 4.6
Legal & HR #8 / 110
Excellent
#95 / 110
Strong
Claude Opus 4.6
Content & Brand #14 / 124
Strong
#100 / 124
Usable
Claude Opus 4.6
Chef / Home Cooking #12 / 126
Strong
#95 / 126
Usable
Claude Opus 4.6
Creative & Comedy #10 / 110 #89 / 110 Claude Opus 4.6
Coding #18 / 115
Excellent
#92 / 115
Usable
Claude Opus 4.6
Executive Assistant #18 / 112
Strong
#77 / 112
Usable
Claude Opus 4.6
Investor & Pitch #8 / 66
Strong
#64 / 66
Needs editing
Claude Opus 4.6
Data & Analytics #10 / 110
Excellent
#56 / 110
Excellent
Claude Opus 4.6
Presentations & Decks #54 / 110
Excellent
#91 / 110
Strong
Claude Opus 4.6
Structured Output #98 / 113
Strong
#63 / 113
Excellent
DeepSeek V3.1 Terminus
Training & Education #1 / 110
Excellent
#31 / 110
Excellent
Claude Opus 4.6
RAG, Safety & Grounding #59 / 113
Excellent
#85 / 113
Excellent
Claude Opus 4.6
Landing Pages #23 / 72
Strong
#44 / 72
Strong
Claude Opus 4.6
Frontend & Landing Pages #51 / 109
Needs editing
#33 / 109
Needs editing
DeepSeek V3.1 Terminus
Research & Competitive Analysis #29 / 110
Strong
#46 / 110
Strong
Claude Opus 4.6
Knowledge & Docs #66 / 110
Usable
#50 / 110
Usable
DeepSeek V3.1 Terminus
Customer Support #81 / 113
Usable
#69 / 113
Usable
DeepSeek V3.1 Terminus
Product & Project Management #45 / 110
Strong
#36 / 110
Strong
DeepSeek V3.1 Terminus
Summarization & Meeting Notes #34 / 110
Excellent
#32 / 110
Excellent
DeepSeek V3.1 Terminus

Rank = position among every model config we tested in that task area (lower is better). Sorted by biggest gap first.

Same task, both models — judged

Both models answered the same test case; an independent judge graded each. Quotes are the judge's actual rationale.

Coding

Mutable default argument (Bug Fixing)
Claude Opus 4.6 100/100

“The model perfectly diagnoses and fixes the root cause of the bug. It uses the standard Python idiom (`items=None`) to avoid the mutable default argument trap, keeps the changes minimal, and provides a clear, accurate explanation of why the original code failed and why the fix works.”

DeepSeek V3.1 Terminus 72/100

“The model correctly identifies the root cause (mutable default arguments) and provides a perfect primary fix with a great explanation. However, it loses significant points on correctness and minimality by volunteering alternative solutions that are flawed. The sentinel object alternative demonstrates a misunderstanding of Python object identity and will crash, while the conditional assignment alternative subtly changes the function's behavior for explicitly passed empty lists.”

Frequently asked

Is Claude Opus 4.6 better than DeepSeek V3.1 Terminus?

Across 22 task areas we benchmarked, Claude Opus 4.6 ranks higher in 16 and DeepSeek V3.1 Terminus in 6.

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

DeepSeek V3.1 Terminus costs 24.6× less per token ($1.22 vs $30 per 1M).

What is Claude Opus 4.6 better at?

Claude Opus 4.6 out-ranks DeepSeek V3.1 Terminus at Translation & Localization, AI Strategy, Sales.

What is DeepSeek V3.1 Terminus better at?

DeepSeek V3.1 Terminus out-ranks Claude Opus 4.6 at Structured Output, Frontend & Landing Pages, Knowledge & Docs.

Full Claude Opus 4.6 review → Full DeepSeek V3.1 Terminus review → Full model leaderboard →

More comparisons

This page is Spring Prompt, running in public

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The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.

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Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s