Claude Opus 4.7 vs DeepSeek V3.2
Claude Opus 4.7 and DeepSeek V3.2 are both current production-tier models. DeepSeek V3.2 is meaningfully cheaper at $0.28 / $0.42 per 1M. Claude Opus 4.7 has a 1M context window — about 8× the 128k of DeepSeek V3.2. Claude Opus 4.7 leads on coding, reasoning, general knowledge.
Specs side by side
| Metric | Anthropic Claude Opus 4.7 | DeepSeek DeepSeek V3.2 |
|---|---|---|
| Input price (per 1M) | $5 | $0.28 |
| Output price (per 1M) | $25 | $0.42 |
| Context window | 1M tokens | 128k tokens |
| Speed tier | slow | balanced |
| Open weights | No | Yes |
| EU region | Yes | No |
| Free tier | No | OpenRouter |
| Prompt caching | Yes | Yes |
| Vision input | Yes | No |
| Extended thinking | Yes | Yes |
When to choose each
Choose Claude Opus 4.7 if…
- You need 1M context (8× more than DeepSeek V3.2)
- EU data residency is required
- HIPAA eligibility is required
- You need image input / vision
- Coding is central to your workload
- Reasoning is central to your workload
Choose DeepSeek V3.2 if…
- Cost is a priority ($0.28 / $0.42 per 1M vs $5 / $25 per 1M)
- You need open weights for self-hosting or fine-tuning
- You want a free tier for prototyping
Benchmark delta
Claude Opus 4.7 leads on
- Coding
- Reasoning
- General knowledge
- Long-context retrieval
- Instruction following
- Multilingual
- Tool use
DeepSeek V3.2 leads on
DeepSeek V3.2 has no meaningful benchmark lead in this pair.
FAQ — Claude Opus 4.7 vs DeepSeek V3.2
Claude Opus 4.7 vs DeepSeek V3.2 — which is better?
Claude Opus 4.7 and DeepSeek V3.2 are both current production-tier models. DeepSeek V3.2 is meaningfully cheaper at $0.28 / $0.42 per 1M. Claude Opus 4.7 has a 1M context window — about 8× the 128k of DeepSeek V3.2. Claude Opus 4.7 leads on coding, reasoning, general knowledge. The right pick depends on your use case — see "When to choose each" above for a data-driven decision.
How does Claude Opus 4.7 pricing compare to DeepSeek V3.2?
Claude Opus 4.7 costs $5 / $25 per 1M vs DeepSeek V3.2 at $0.28 / $0.42 per 1M. DeepSeek V3.2 is cheaper on output tokens by roughly 5852%. Both support prompt caching, which reduces effective cost by 80-90% on repeat system prompts.
Does Claude Opus 4.7 or DeepSeek V3.2 have the bigger context window?
Claude Opus 4.7 has a 1M-token context window — 8× the 128k context of DeepSeek V3.2. Enough for entire codebases, books, or multi-document RAG.
Is there a free tier for Claude Opus 4.7 or DeepSeek V3.2?
Claude Opus 4.7: no — Free via Claude.ai web chat; API requires paid credits. DeepSeek V3.2: yes — Often available free via OpenRouter; official API is very cheap ($0.28 cache miss, $0.028 cached input).
Which is better for coding — Claude Opus 4.7 or DeepSeek V3.2?
Claude Opus 4.7 leads on coding benchmarks (Claude Opus 4.7: 97/100, DeepSeek V3.2: 88/100). For production coding agents also weigh tool-use performance — Claude Opus 4.7 scores 96, DeepSeek V3.2 scores 82.