API cost decision in 10 seconds

🔥Claude Opus 4.6 vs DeepSeek V3.2 Exp

Pick DeepSeek V3.2 Exp for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick DeepSeek V3.2 Exp for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, DeepSeek V3.2 Exp is estimated at $0.47 vs $17.5 for Claude Opus 4.6, saving $17.02 (97.3% lower).

Cost-first pickDeepSeek V3.2 Exp
Context-first pickClaude Opus 4.6
Sample savings$17.0297.3%
10x traffic gap$170.25

Claude Opus 4.6 has more context, but DeepSeek V3.2 Exp saves $17.02 on the standard workload. At 10x that traffic, the same price gap is about $170.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V3.2 Exp stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickClaude Opus 4.6DeepSeek V3.2 Exp
Input-heavy / RAG5M input + 500K outputDeepSeek V3.2 Exp$37.5$1.56
Balanced workload1M input + 1M outputDeepSeek V3.2 Exp$30$0.68
Output-heavy chatbot1M input + 5M outputDeepSeek V3.2 Exp$130$2.32
Cheaper input DeepSeek V3.2 Exp $5 vs $0.27 / 1M

DeepSeek V3.2 Exp is $4.73 cheaper per 1M input tokens (94.6% lower; 18.5x difference).

Cheaper output DeepSeek V3.2 Exp $25 vs $0.41 / 1M

DeepSeek V3.2 Exp is $24.59 cheaper per 1M output tokens (98.4% lower; 61x difference).

Larger context Claude Opus 4.6 1M vs 163.84K

Claude Opus 4.6 has 836.16K more context (6.1x larger).

Sample workload DeepSeek V3.2 Exp $17.5 vs $0.47

DeepSeek V3.2 Exp is $17.02 cheaper on the standard workload (97.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Claude Opus 4.6 Calculating… Estimated API cost
DeepSeek V3.2 Exp Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

DeepSeek V3.2 Exp has the lower input price; DeepSeek V3.2 Exp has the lower output price; Claude Opus 4.6 offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.2 Exp is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $17.5 for Claude Opus 4.6 and $0.47 for DeepSeek V3.2 Exp.

Best Fit

Choose Claude Opus 4.6 when you care most about larger context window.

Choose DeepSeek V3.2 Exp when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek V3.2 Exp is estimated at $0.47 vs $17.5 for Claude Opus 4.6, saving $17.02 (97.3% lower).
  • DeepSeek V3.2 Exp is $17.02 cheaper on the standard workload (97.3% lower).
  • DeepSeek V3.2 Exp is $4.73 cheaper per 1M input tokens (94.6% lower; 18.5x difference).
  • DeepSeek V3.2 Exp is $24.59 cheaper per 1M output tokens (98.4% lower; 61x difference).
  • Claude Opus 4.6 has 836.16K more context (6.1x larger).
Head-to-Head Specs
Feature🔥Claude Opus 4.6
(Anthropic)
DeepSeek V3.2 Exp
(DeepSeek)
Input Price
prompt tokens per 1M
$5$0.27
Completion Price
per 1M tokens
$25$0.41
Sample Workload Cost
1M input + 500K output
$17.5$0.47
Context Window1M163.84K
Release Date
Popularity#18#98

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V3.2 ExpOn the standard 1M input plus 500K output workload, DeepSeek V3.2 Exp is estimated at $0.47 vs $17.5 for Claude Opus 4.6, saving $17.02 (97.3% lower).
High-volume input processingDeepSeek V3.2 ExpLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.2 ExpLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workClaude Opus 4.6A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Claude 3 Haiku can replace Claude Opus 4.6 when lower sample workload cost matters most: $0.88.
  • Claude 3.5 Haiku can replace Claude Opus 4.6 when lower sample workload cost matters most: $2.8.
  • Anthropic Claude Haiku Latest can replace Claude Opus 4.6 when lower sample workload cost matters most: $3.5.
  • Claude Haiku 4.5 can replace Claude Opus 4.6 when lower sample workload cost matters most: $3.5.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • GPT-5.5 offers 1.05M context with $20 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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Anthropic catalog

Review all tracked Anthropic models before deciding whether this matchup is the right shortlist.

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DeepSeek catalog

Check other DeepSeek models with comparable pricing, context, or release timing.

Open DeepSeek models
Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...