Claude Opus 4.6 vs DeepSeek V3.2

Pricing math on a real workload

For a 10M input / 2M output token workload, Claude Opus 4.6 costs $100.00 on OpenKey (provider price $5.00/$25.00 per M tokens plus the 3% fee, so $5.15/$25.75 per M). DeepSeek V3.2 costs $2.97 for the same workload (provider price $0.2288/$0.3432 per M, OpenKey price $0.235664/$0.353496 per M). That's a 33.7x difference in total workload cost, driven mostly by input tokens — Opus 4.6's input price is 21.85x higher than DeepSeek V3.2's. If you're running this workload daily, that gap compounds into a real budget line item, not a rounding error.

Coding and agent benchmarks

On Design Arena's coding categories, Opus 4.6 ranks in the top 6 across the board: codecategories (rank 3, elo 1342), uicomponent (rank 3, elo 1350), website (rank 3, elo 1338), gamedev (rank 4, elo 1344), dataviz (rank 5, elo 1322), svg (rank 4, elo 1288), 3d (rank 4, elo 1351), asciiart (rank 6, elo 1307). DeepSeek V3.2 lands much further down the same categories: codecategories rank 48, uicomponent rank 47, website rank 46, gamedev rank 50, dataviz rank 48, svg rank 54, 3d rank 41, asciiart rank 42. Opus 4.6 also has agent-specific scores DeepSeek V3.2 doesn't report here: androidnative (rank 11), fullstack (rank 4), mobileapps (rank 3), webapps (rank 4). If the task is writing or reviewing code, Opus 4.6 is the clear pick on measured quality.

Context window and long documents

Opus 4.6 supports a 1,000,000-token context window with a 128,000-token max completion. DeepSeek V3.2 caps at 131,072 tokens context with 64,000-token max completion — a 7.63x smaller window. For tasks like summarizing a large repo, a multi-hundred-page contract, or maintaining agent state across a long session, Opus 4.6's window gives you room DeepSeek V3.2 doesn't have. For single documents or chat-length exchanges under 130K tokens, the difference doesn't matter.

Modality and input types

Opus 4.6 accepts text, image, and file inputs and outputs text — useful if your workflow includes screenshots, PDFs, or scanned documents alongside code. DeepSeek V3.2 is text-to-text only. If any part of your pipeline needs to read an image or a file directly rather than pre-extracted text, DeepSeek V3.2 is out regardless of price.

When to pick each

Pick Opus 4.6 for agent workflows that span a full codebase, tasks requiring top coding benchmark performance, or anything involving image/file input. Pick DeepSeek V3.2 for high-volume text processing, prototyping, or any workload where a 33.7x cost difference matters more than benchmark rank. Both support tool calling and reasoning parameters, so the API surface for agentic tool-use is similar — the decision comes down to budget versus output quality ceiling.

Questions

How much more expensive is Claude Opus 4.6 than DeepSeek V3.2?

On a 10M input / 2M output token workload, Opus 4.6 costs $100.00 on OpenKey versus $2.97 for DeepSeek V3.2 — a 33.7x difference. Most of that gap comes from input pricing, where Opus 4.6 is 21.85x more expensive per million tokens.

Which model has a larger context window?

Claude Opus 4.6 supports 1,000,000 tokens of context versus DeepSeek V3.2's 131,072 tokens — a 7.63x difference. Opus 4.6 also allows a larger max completion at 128,000 tokens versus DeepSeek V3.2's 64,000.

Does DeepSeek V3.2 support image input like Opus 4.6?

No. DeepSeek V3.2 is text-to-text only, while Claude Opus 4.6 accepts text, image, and file inputs. If your workflow needs to process screenshots or PDFs directly, Opus 4.6 is the only option of the two.

Which model ranks better for coding tasks?

Claude Opus 4.6 ranks rank 3 in Design Arena's codecategories benchmark with an elo of 1342; DeepSeek V3.2 ranks 48th with an elo of 1213 in the same category. The gap holds across every coding-related category tested.