Claude Opus 4.7 wins on coding (96 vs 87) and writing quality and context window (1M vs 128K). DeepSeek V3 wins on price ($0.27 vs $5/1M input). For most workflows, Claude Opus 4.7 is the stronger default — previous opus flagship, now superseded by claude opus 4.8 at the same price.
The safest Claude Opus 4.7 vs DeepSeek V3 default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Opus 4.7 is the strongest answer here for Claude Opus 4.7 vs DeepSeek V3 — pick it when quality of output matters more than the $5.00/1M/1M input you pay for it.
DeepSeek V3 handles the same job for about 95% less per token. Start here and only move up if the output is not good enough.
DeepSeek V3 is the fastest of these for Claude Opus 4.7 vs DeepSeek V3 — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Claude Opus 4.7 leads on coding with a score of 96 vs 87 for DeepSeek V3.
Claude Opus 4.7 has the larger context window: 1M vs 128K for DeepSeek V3.
DeepSeek V3 is cheaper at $0.27/1M input tokens vs $5/1M for Claude Opus 4.7.
Choose Claude Opus 4.7 for highest-ceiling coding, agentic workflows, and deep research. Its coding and research scores are what carry the recommendation here.
DeepSeek V3 earns its place when your work is mostly coding and reasoning, even though it loses the overall count here.
DeepSeek V3 is the more cost-efficient option at $0.27/1M input — Claude Opus 4.7 costs 19x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Switch the scoring lens to see whether the Claude Opus 4.7 vs DeepSeek V3 answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Premium / May 27, 2026
Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.
Where the Claude Opus 4.7 vs DeepSeek V3 recommendation shifts once you weigh price or latency differently.
Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.
GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.7Anthropic | $5.00/1M | $25.00/1M | $100 | 1M tokens | Deliberate | 96 | 93 | 95 |
| DeepSeek V3DeepSeek | $0.27/1M | $1.10/1M | $4.90 | 128k tokens | Fast | 87 | 74 | 80 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for Claude Opus 4.7 vs DeepSeek V3, what it is genuinely good at, and where we would steer you away from it.
Our pick for Claude Opus 4.7 vs DeepSeek V3. It scores 96/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.
Anthropic's previous Opus flagship, now superseded by Opus 4.8. Still the second-best coding model publicly available at the same $5/$25 price.
You need cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.
Superseded by Opus 4.8 (May 27, 2026) which scores 69.2% SWE-Bench Pro vs 64.3% here — at the same price. For existing pinned integrations Opus 4.7 still works well, but new deployments should use Opus 4.8.
Full pricing, benchmark table and release notes on the Claude Opus 4.7 page.
The value option for Claude Opus 4.7 vs DeepSeek V3: about 95% less per token than Claude Opus 4.7, at 87/100 on coding. Worth starting here and moving up only if the output disappoints.
Open-source frontier model from DeepSeek that matches GPT-4o class performance at a fraction of the cost — the most disruptive budget option for coding and general tasks.
Your team has data sovereignty requirements or needs enterprise-grade reliability guarantees.
The most cost-efficient model for GPT-4o-class coding quality. Hard to beat on value per token for engineering teams.
Full pricing, benchmark table and release notes on the DeepSeek V3 page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Claude Opus 4.7 wins on more of the categories we score — coding, research, long context — so it is the better default of the two. DeepSeek V3 is the better pick when your work is mostly coding and reasoning. Neither is universally "better": Claude Opus 4.7 is aimed at highest-ceiling coding and agentic workflows, DeepSeek V3 at coding and reasoning.
DeepSeek V3 is cheaper at $0.27/1M input and $1.1/1M output. Claude Opus 4.7 costs $5/1M input and $25/1M output.
Claude Opus 4.7 has the larger context window at 1M tokens vs DeepSeek V3's 128K. For large document analysis, Claude Opus 4.7 is the stronger pick.
Claude Opus 4.7 is better for coding with a score of 96 vs DeepSeek V3's 87 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
DeepSeek V3 is faster with a fast speed rating (score: 4) vs Claude Opus 4.7's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Opus 4.7 latency penalty is usually invisible.
Opus 4.8 launched at the same $5/$25 price with 69.2% SWE-Bench Pro and parallel subagents. No reason to prefer Opus 4.7 for new integrations — use Opus 4.8 instead. Avoid it if you are starting a new integration — Opus 4.8 is strictly better at the same price. That is the main case for looking at DeepSeek V3 instead.
Chinese-origin model raises data sovereignty concerns for some enterprise teams. Slightly weaker on nuanced English writing tone compared to Claude and GPT. Less reliable for complex multi-step agentic workflows vs frontier models. Avoid it if your team has data sovereignty requirements or needs enterprise-grade reliability guarantees. Against Claude Opus 4.7 specifically, the gap shows up most on coding (96 vs 87).
Take a moderate workload of 10M input and 2M output tokens a month. Claude Opus 4.7 runs $100.00 (at $5/1M in and $25/1M out); DeepSeek V3 runs $4.90 (at $0.27/1M in and $1.1/1M out). That is a $95.10/month difference — DeepSeek V3 is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is Claude Opus 4.7 for highest-ceiling coding and agentic workflows, with DeepSeek V3 handling coding and reasoning. Routing high-volume, low-stakes calls to DeepSeek V3 at $0.27/1M and reserving Claude Opus 4.7 for the hard cases is usually the cheapest arrangement that does not cost you quality.