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Anthropic Claude Opus 4.6 VS DeepSeek DeepSeek V3.2

Claude Opus 4.6 vs DeepSeek V3.2: 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 V3.2 takes 6. DeepSeek V3.2 costs 52.4× less per token ($0.572 vs $30 per 1M).

16
Task areas won
6
74
Avg percentile
38
2
Top-3 finishes
0
$30.0
Price / 1M tokens
$0.57
Anthropic
Provider
DeepSeek

DeepSeek V3.2 costs 52.4× less per token ($0.572 vs $30 per 1M).

Task by task

Task area Claude Opus 4.6 DeepSeek V3.2 Winner
AI Strategy #5 / 126
Strong
#102 / 126
Usable
Claude Opus 4.6
Sales #4 / 110
Strong
#91 / 110
Usable
Claude Opus 4.6
Translation & Localization #2 / 110
Excellent
#89 / 110
Strong
Claude Opus 4.6
Coding #18 / 115
Excellent
#100 / 115
Usable
Claude Opus 4.6
Legal & HR #8 / 110
Excellent
#90 / 110
Strong
Claude Opus 4.6
Content & Brand #14 / 124
Strong
#95 / 124
Usable
Claude Opus 4.6
Creative & Comedy #10 / 110 #87 / 110 Claude Opus 4.6
Chef / Home Cooking #12 / 126
Strong
#78 / 126
Usable
Claude Opus 4.6
Data & Analytics #10 / 110
Excellent
#69 / 110
Excellent
Claude Opus 4.6
Executive Assistant #18 / 112
Strong
#76 / 112
Usable
Claude Opus 4.6
Investor & Pitch #8 / 66
Strong
#46 / 66
Usable
Claude Opus 4.6
Training & Education #1 / 110
Excellent
#38 / 110
Excellent
Claude Opus 4.6
Structured Output #98 / 113
Strong
#67 / 113
Strong
DeepSeek V3.2
Presentations & Decks #54 / 110
Excellent
#81 / 110
Strong
Claude Opus 4.6
Frontend & Landing Pages #51 / 109
Needs editing
#25 / 109
Needs editing
DeepSeek V3.2
Landing Pages #23 / 72
Strong
#48 / 72
Usable
Claude Opus 4.6
Product & Project Management #45 / 110
Strong
#21 / 110
Excellent
DeepSeek V3.2
RAG, Safety & Grounding #59 / 113
Excellent
#83 / 113
Excellent
Claude Opus 4.6
Research & Competitive Analysis #29 / 110
Strong
#53 / 110
Usable
Claude Opus 4.6
Knowledge & Docs #66 / 110
Usable
#58 / 110
Usable
DeepSeek V3.2
Customer Support #81 / 113
Usable
#74 / 113
Usable
DeepSeek V3.2
Summarization & Meeting Notes #34 / 110
Excellent
#30 / 110
Excellent
DeepSeek V3.2

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.

Sales

Broker discovery with a value hypothesis (Discovery Call Prep)
Claude Opus 4.6 89/100

“The response is expert-level and production-ready. It perfectly adopts the logistics-native brand voice, uses the verified facts effectively, and structures the call around a highly credible value hypothesis and excellent open, implication-focused questions. It is difficult to improve.”

DeepSeek V3.2 21/100

“The model completely misunderstood the task, writing a cold outreach email instead of a discovery call prep document. It pitched the product heavily, failed to include MEDDIC qualification, and provided leading/closed questions rather than a full listening-led call sequence.”

Coding

Stale React state update (Bug Fixing)
Claude Opus 4.6 100/100

“The model perfectly diagnoses the root cause (stale closure and batching) and provides the standard, correct fix (functional updater). The explanation is exceptionally clear and accurate, and the fix is minimal.”

DeepSeek V3.2 50/100

“The model correctly identifies the root cause (stale closure and batching) and provides the standard functional updater fix (Solution 1). However, Solution 3 is silently wrong. Because `count` is a `const` primitive captured in the closure, forcing a synchronous re-render with `flushSync` does not update the `count` variable in the currently executing `onClick` function. All three calls in Solution 3 will still evaluate to `setCount(1)`. Providing a broken solution violates the correctness gate.”

Frequently asked

Is Claude Opus 4.6 better than DeepSeek V3.2?

Across 22 task areas we benchmarked, Claude Opus 4.6 ranks higher in 16 and DeepSeek V3.2 in 6.

Which is cheaper, Claude Opus 4.6 or DeepSeek V3.2?

DeepSeek V3.2 costs 52.4× less per token ($0.572 vs $30 per 1M).

What is Claude Opus 4.6 better at?

Claude Opus 4.6 out-ranks DeepSeek V3.2 at AI Strategy, Sales, Translation & Localization.

What is DeepSeek V3.2 better at?

DeepSeek V3.2 out-ranks Claude Opus 4.6 at Structured Output, Frontend & Landing Pages, Product & Project Management.

Full Claude Opus 4.6 review → Full DeepSeek V3.2 review → Full model leaderboard →

More comparisons

This page is Spring Prompt, running in public

We just did this for every model. Do it for your prompt.

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.

  • Generate test cases from your prompt — no eval set required to start.
  • Compare models side by side with quality, cost and latency in one matrix.
  • Optimise the winner until the scores say it's ready to ship.
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